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Data Science Internship jobs at Merck - 176 jobs
Assoc Director, Data Scientist
Gilead Sciences, Inc.
Foster City, CA jobs
At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Gilead's AI Research Center(ARC) is looking for a Principal Data Scientist to spearhead the adoption of AI/ML and transform our clinical development processes. This is a pivotal role where you will provide key thought leadership and drive our strategic vision for advanced analytics, with the goal of optimizing clinical trials, enhancing data-driven decision-making, and providing support for Real-World Evidence (RWE), Clinical Pharmacology, and Biomarkers initiatives. You will be a thought leader in applying AI/ML to real-world clinical challenges, taking deep involvement in all stages of technical development-from coding and configuring compute environments to model evaluation, review, and architecture design. You'll work closely with a variety of cross-functional teams, including architects, data engineers, and product managers, to scope, develop, and operationalize our AI-driven applications, with a specific focus on leveraging AI/ML to advance insights within RWE, Clinical Pharmacology, and Biomarkers. Responsibilities: Innovate and Strategize: Spearhead the strategic vision for leveraging AI/ML within clinical development. You'll partner with cross-functional leaders to identify high-impact opportunities and design innovative solutions that transform how we conduct trials and make data-driven decisions. Lead with Expertise: Guide the full lifecycle of machine learning models from initial concept to real-world application. This includes architecting scalable solutions, hands-on algorithm development, and ensuring models are rigorously evaluated and operationalized for use in RWE, Clinical Pharmacology, and Biomarkers. Mentor and Empower: Act as a force multiplier for our data science team. You'll coach and mentor senior and junior data scientists, fostering a culture of technical excellence and continuous learning. Translate and Execute: Serve as a bridge between technical teams and business stakeholders. You'll translate complex business challenges into precise data science problems and, in a product manager-like role, drive the development of these solutions from proof-of-concept to production. Drive Breakthroughs: Research and develop cutting-edge algorithms to solve critical challenges. This could involve using NLP for patient insights, computer vision for biomarker analysis, or predictive models to optimize trial logistics. You'll be at the forefront of applying these techniques in a biotech context. Build the Foundation: Design and implement the technical and process building blocks needed to scale our AI/ML capabilities. This includes working with IT partners to curate and operationalize the datasets essential for fueling our analytical pipelines. Influence and Advise: Interface directly with internal stakeholders, acting as a trusted advisor to help them understand the potential of advanced analytics and apply data-driven approaches to optimize clinical trial operations. Stay Ahead: Continuously monitor the landscape of machine learning and biopharmaceutical innovation. You'll ensure our team is leveraging the latest state-of-the-art techniques to maintain a competitive edge. Technical Skills: Advanced Model Development & Operationalization: Deep expertise in developing, deploying, and managing complex machine learning and deep learning algorithms at scale. This includes a profound understanding of model evaluation, scoring methodologies, and mitigation of model bias to ensure robust, ethical, and reliable outcomes. Data & Computational Proficiency: Fluent in Python or R and SQL, with hands-on experience in building and optimizing data pipelines for analytical and model development purposes. Cloud-Native AI/ML: Demonstrated experience with Cloud DevOps on AWS as it pertains to the entire data science lifecycle, from data ingestion to model serving and monitoring. Translational Research: Proven ability to translate foundational AI/ML research into functional, production-ready packages and applications that directly support strategic initiatives in areas like RWE, Clinical Pharmacology, and Biomarkers. Basic Qualifications: Doctorate and 5+ years of relevant experience OR Master's and 8+ years of relevant experience OR Bachelor's and 10+ years of relevant experience Preferred Qualifications: Ability to translate stakeholder needs into clear technical requirements, including those related to RWE, Clinical Pharmacology, and Biomarkers. Skill in scoping project requirements and developing timelines. Knowledge of product management principles. Experience with code management using Git. Strong technical documentation skills. Join us at the AI Research Center to shape the future of clinical development with groundbreaking AI/ML solutions, and contribute to advancements in RWE, Clinical Pharmacology, and Biomarkers! The salary range for this position is: Bay Area: $210,375.00 - $272,250.00.Other US Locations: $191,250.00 - $247,500.00. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description Gilead's AI Research Center(ARC) is looking for a Principal Data Scientist to spearhead the adoption of AI/ML and transform our clinical development processes. This is a pivotal role where you will provide key thought leadership and drive our strategic vision for advanced analytics, with the goal of optimizing clinical trials, enhancing data-driven decision-making, and providing support for Real-World Evidence (RWE), Clinical Pharmacology, and Biomarkers initiatives. You will be a thought leader in applying AI/ML to real-world clinical challenges, taking deep involvement in all stages of technical development-from coding and configuring compute environments to model evaluation, review, and architecture design. You'll work closely with a variety of cross-functional teams, including architects, data engineers, and product managers, to scope, develop, and operationalize our AI-driven applications, with a specific focus on leveraging AI/ML to advance insights within RWE, Clinical Pharmacology, and Biomarkers. Responsibilities: Innovate and Strategize: Spearhead the strategic vision for leveraging AI/ML within clinical development. You'll partner with cross-functional leaders to identify high-impact opportunities and design innovative solutions that transform how we conduct trials and make data-driven decisions. Lead with Expertise: Guide the full lifecycle of machine learning models from initial concept to real-world application. This includes architecting scalable solutions, hands-on algorithm development, and ensuring models are rigorously evaluated and operationalized for use in RWE, Clinical Pharmacology, and Biomarkers. Mentor and Empower: Act as a force multiplier for our data science team. You'll coach and mentor senior and junior data scientists, fostering a culture of technical excellence and continuous learning. Translate and Execute: Serve as a bridge between technical teams and business stakeholders. You'll translate complex business challenges into precise data science problems and, in a product manager-like role, drive the development of these solutions from proof-of-concept to production. Drive Breakthroughs: Research and develop cutting-edge algorithms to solve critical challenges. This could involve using NLP for patient insights, computer vision for biomarker analysis, or predictive models to optimize trial logistics. You'll be at the forefront of applying these techniques in a biotech context. Build the Foundation: Design and implement the technical and process building blocks needed to scale our AI/ML capabilities. This includes working with IT partners to curate and operationalize the datasets essential for fueling our analytical pipelines. Influence and Advise: Interface directly with internal stakeholders, acting as a trusted advisor to help them understand the potential of advanced analytics and apply data-driven approaches to optimize clinical trial operations. Stay Ahead: Continuously monitor the landscape of machine learning and biopharmaceutical innovation. You'll ensure our team is leveraging the latest state-of-the-art techniques to maintain a competitive edge. Technical Skills: Advanced Model Development & Operationalization: Deep expertise in developing, deploying, and managing complex machine learning and deep learning algorithms at scale. This includes a profound understanding of model evaluation, scoring methodologies, and mitigation of model bias to ensure robust, ethical, and reliable outcomes. Data & Computational Proficiency: Fluent in Python or R and SQL, with hands-on experience in building and optimizing data pipelines for analytical and model development purposes. Cloud-Native AI/ML: Demonstrated experience with Cloud DevOps on AWS as it pertains to the entire data science lifecycle, from data ingestion to model serving and monitoring. Translational Research: Proven ability to translate foundational AI/ML research into functional, production-ready packages and applications that directly support strategic initiatives in areas like RWE, Clinical Pharmacology, and Biomarkers. Basic Qualifications: Doctorate and 5+ years of relevant experience OR Master's and 8+ years of relevant experience OR Bachelor's and 10+ years of relevant experience Preferred Qualifications: Ability to translate stakeholder needs into clear technical requirements, including those related to RWE, Clinical Pharmacology, and Biomarkers. Skill in scoping project requirements and developing timelines. Knowledge of product management principles. Experience with code management using Git. Strong technical documentation skills. Join us at the AI Research Center to shape the future of clinical development with groundbreaking AI/ML solutions, and contribute to advancements in RWE, Clinical Pharmacology, and Biomarkers! The salary range for this position is: Bay Area: $210,375.00 - $272,250.00.Other US Locations: $191,250.00 - $247,500.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans*. For additional benefits information, visit: ****************************************************************** * Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans. For jobs in the United States: Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex , age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact ApplicantAccommodations@gilead.com for assistance. For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster. NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT PAY TRANSPARENCY NONDISCRIMINATION PROVISION Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team. Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion. For Current Gilead Employees and Contractors: Please apply via the Internal Career Opportunities portal in Workday. Share: Job Requisition ID R0046852 Full Time/Part Time Full-Time Job Level Associate Director Click below to return to the Gilead Careers site Click below to see a list of upcoming events Click below to return to the Kite, a Gilead company Careers site #J-18808-Ljbffr$210.4k-272.3k yearly 1d agoMarketing Intern
Pacira Biosciences, Inc.
Brisbane, CA jobs
At Pacira, innovation meets purpose. Pacira BioSciences, Inc. is a pioneer in non-opioid pain management and regenerative health solutions. Today, we're building on that legacy with next-generation innovations for chronic, postsurgical, and musculoskeletal pain. Our culture is built on collaboration, innovation, and a shared commitment to helping patients recover faster. We are redefining what's possible in pain management-and we can't do it without talented people like you. Why Join Us? At Pacira, every career is more than a job. Our mission drives us, and every day, we challenge ourselves to achieve the extraordinary. Integrity is at the core of who we are. We value diverse perspectives and the collective strength of a unified team. Join the team in making better possible for patients everywhere. Internship Position: Marketing Intern Duration: 9 weeks Compensation: $20 per hour, 30 - 35 hours per week Position Summary: We are seeking a talented and motivated intern to join our EXPAREL Marketing team. The intern will assist with projects such as providing crucial capacity for brand planning and high-priority strategic initiatives leading into the critical fall period of tactical planning, congresses, and Plan of Actions (POAs). This is a great opportunity for a college student to gain hands-on experience and contribute to Pacira's success. Key Responsibilities: Support of 2027 brand planning including partnering to refine surgical patient customer journeys and prioritization of addressable unmet needs Partnering with analytics teams on a re-review and refinement of procedure codes to be included in our target market Supporting congress strategy and tactics in advance of major fall meetings in orthopedics and anesthesiology Assessment of brand websites 1yr post-relaunch and identification of opportunities to optimize Qualifications: Currently enrolled in a college or university program as a full-time rising Junior or Senior Majoring in Marketing/MBA program ideal. Will also will consider life sciences backgrounds. Maintain a cumulative minimum GPA of 3.0/4.0 Strong communication and interpersonal skills. Ability to work independently and as part of a team. Benefits: Hands-on experience in a corporate environment. Mentorship from experienced professionals. Networking opportunities with industry leaders. Application Deadline: January 30, 2026 Start Date: June 8, 2026 Note: This is a paid internship, and the intern must commit to a full-time schedule for the duration of the program.$20 hourly 4d ago2026 U.S Summer Internship Program: Data Scientist Computational Biology Intern
Takeda
Cambridge, MA jobs
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description The intern in the Early Clinical Development (ECD) computational biology group at Takeda GI-TAU will implement and test machine learning/deep learning based methods, to integrate and analyze large screening datasets and metadata information to generate actionable insights and interpretation for drug discovery and development questions in Gastrointestinal & Inflammation Therapeutic Area How You Will Contribute: As a Computational Biology Intern, you will have the opportunity to… Leverage proprietary clinical multi-omics data assets and implement advanced AI/ML approaches. Explore and experiment with innovative strategies for data integration, visualization, and analytical approaches. Engage in the exploration of cutting-edge methodologies aimed at enhancing the precision and depth of analyses. Contribute to the development of advanced techniques within the field of Precision Medicine and Biomarker Discovery. Job Requirements: This position will be Fully Remote out of the Round Lake, Illinois location Must be pursuing a Doctoral Degree in Computational Biology, Bioinformatics, Biostatistics and any other relevant fields. Familiar with machine/deep- learning frameworks/libraries. Experience in testing and implement different deep learning architecture is preferred Strong programming skills in R/Python. Proficiency in Unix/Linux shell, AWS/HPC environment is preferred Working knowledge in molecular biology and clinical metadata Highly motivated with a strong interest in bioinformatics data analysis in drug discovery and development Quick learner, Outstanding oral and written communication skills. Internship Eligibility Must be authorized to work in the U.S. on a permanent basis without requiring sponsorship Must be currently enrolled in a degree program graduating December 2026 or later The internship program is 10-12 weeks depending on the two start dates (May 26th-August 14th or June 15th- August 21st) The intern must be able to commit to one of these time frames Able to work full time 40 hours a week during internship dates Takeda does not provide a housing stipend or relocation support for the U.S Summer Internship Program Program Highlights: Hands-on experience with real projects and responsibilities Dedicated mentorship program pairing interns with experienced professionals Networking opportunities with industry professionals and fellow interns Internship events focused on professional and skills development Exposure to multiple business areas or departments within a Pharmaceutical Organization Applications will be accepted between October 31st- November 16th Takeda Compensation and Benefits Summary We understand compensation may be an important factor as you consider an internship opportunity. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. For Location: USA - MA - Cambridge - Binney St U.S. Hourly Wage Range: $21.00 - $46.00 The estimated hourly range reflects an anticipated range for this position. The actual hourly wage offered will depend on the candidate's school year/level to be entered following completion of internship. The actual hourly wage offered will be in accordance with state or local minimum wage requirements for the job location. U.S. internship benefits vary by location and may include: Paid sick time Civic Duty paid time off Participation at company volunteer events Participation at company sponsored special events Access to on-site fitness center (where available) Commuter Benefit: To offset your work-commute expenses, Takeda provides U.S. employees with a fixed monthly subsidy to be used for either public transportation (transit) or parking. EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. LocationsUSA - MA - Cambridge - Binney StWorker TypeEmployeeWorker Sub-TypePaid Intern (Fixed Term) (Trainee) Time TypeFull time Job Exempt NoIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.$21-46 hourly Auto-Apply 7d agoBiostatistics Evidence Generation & Decision Sciences (EGDS)- Summer 2026 Intern
Sanofi Us
Morristown, NJ jobs
About the Job Are you ready to shape the future of medicine? The race is on to speed up drug discovery and development to find answers for patients and their families. Your skills could be critical in helping our teams accelerate progress. Join our B&P Neurology team as a Data Analyst and you'll lead one or several late phase studies, or lead an indication for a complex compound, under supervision of statistical project leader and/or team leader. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? Main Responsibilities: Contribute to the design and analysis of both early- and late-phase clinical trials by applying advanced statistical methods and data analysis techniques. Support the development, evaluation, and implementation of innovative statistical methodologies to address complex problems in clinical research. Work collaboratively under the guidance and mentorship of senior-level statisticians, gaining hands-on experience in study planning, data interpretation, and the preparation of statistical reports and publications. About You Basic Qualifications: Currently enrolled and pursuing PhD in Statistics or Biostatistics at an accredited college or university Candidates must have completed at least two years of graduate coursework and be working on a dissertation toward a PhD in Statistics or Biostatistics Experience with SAS and R Must be able to relocate to the office location and work 40hrs/week, Monday-Friday, for the full duration of the co-op/internship Must be permanently authorized to work in the U.S. and not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship Preferred Qualifications: Effective oral and written communication skills Experience with python is a plus Why Choose Us? Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Exposure to cutting-edge technologies and research methodologies Networking opportunities within Sanofi and the broader biotech community. Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. #GD-SA #LI-SA #LI-Onsite #vhd Pursue progress , discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! US and Puerto Rico Residents Only Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.$84k-128k yearly est. Auto-Apply 51d ago2026 Summer Internship Program: Data Scientist for RandD Quality Intern
Takeda Pharmaceutical Company Ltd.
Lexington, MN jobs
By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on three therapeutic areas and other targeted investments, we push the boundaries of what is possible to bring life-changing therapies to patients worldwide. Objectives/Purpose: * Assist in the implementation and management of AI and GenAI data products in alignment with R&D and enterprise stakeholders. * Ensure compliance with company and regulatory requirements. * Provide support in machine learning projects for complex and large-scale data analysis. * Learn and contribute to machine learning frameworks in digital and innovation projects. Accountabilities: * Support the development and implementation of data models and algorithms for pharmaceutical quality and R&D. * Assist in leveraging generative AI and large language models to enhance data analysis and automate processes. * Collaborate with cross-functional teams to ensure data integrity and accuracy. * Provide support in designing and delivering digital projects. * Learn and help maintain GxP standards in alignment with Takeda Software Development Lifecycle policies. * Prepare and present detailed reports and visualizations to stakeholders. * Assist in the integration and advancement of AI technologies in R&D Quality. * Support the development and implementation of strategic AI initiatives to enhance Quality Management Systems (QMS). * Assist in overseeing AI-driven projects and ensure timely delivery. * Foster a culture of innovation and collaboration. Dimensions and Aspects: * Technical/Functional Expertise: Basic knowledge of AI technologies in the pharmaceutical industry, experience with machine learning models, Agile methodologies, and GxPs. * Leadership: Willingness to learn, strong relationship-building skills, and effective communication. * Decision-making and Autonomy: Provide input to decisions and ensure swift implementation. * Interaction: Experience working in teams and willingness to work in a global environment. * Innovation: Support new ways of thinking and contribute to change. * Complexity: High multicultural sensitivity and ability to navigate complex global ecosystems. Education, Behavioral Competencies, and Skills: * Pursuing a Bachelor's degree in Data Science, Statistics, Computational Biology, Bioinformatics, Computer Science, or a related field. * Some experience or internships applying machine learning/deep learning in life sciences. * Interest in AI-driven projects in a pharmaceutical or biotechnology setting. * Familiarity with generative AI and large language models. * Basic understanding of GxPs, regulatory requirements, and quality standards in the pharmaceutical industry. * Strong problem-solving skills and attention to details. * Excellent communication skills to convey complex information to non-technical stakeholders. Internship Eligibility * Must be authorized to work in the U.S. on a permanent basis without requiring sponsorship * Must be currently enrolled in a degree program graduating December 2026 or later * The internship program is 10-12 weeks depending on the two start dates (May 26th-August 14th or June 15th- August 21st) * The intern must be able to commit to one of these time frames * Able to work full time 40 hours a week during internship dates * Takeda does not provide a housing stipend or relocation support for the U.S Summer Internship Program Program Highlights: * Hands-on experience with real projects and responsibilities * Dedicated mentorship program pairing interns with experienced professionals * Networking opportunities with industry professionals and fellow interns * Internship events focused on professional and skills development * Exposure to multiple business areas or departments within a Pharmaceutical Organization Applications will be accepted between November 7th - January 2nd Takeda Compensation and Benefits Summary We understand compensation may be an important factor as you consider an internship opportunity. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. For Location: Lexington, MA U.S. Hourly Wage Range: $21.00 - $46.00 The estimated hourly range reflects an anticipated range for this position. The actual hourly wage offered will depend on the candidate's school year/level to be entered following completion of internship. The actual hourly wage offered will be in accordance with state or local minimum wage requirements for the job location. U.S. internship benefits vary by location and may include: * Paid sick time * Civic Duty paid time off * Participation at company volunteer events * Participation at company sponsored special events * Access to on-site fitness center (where available) * Commuter Benefit: To offset your work-commute expenses, Takeda provides U.S. employees with a fixed monthly subsidy to be used for either public transportation (transit) or parking. EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. Locations Lexington, MA Worker Type Employee Worker Sub-Type Paid Intern (Fixed Term) (Trainee) Time Type Full time Job Exempt No It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.$21-46 hourly 31d agoInternship - DevOps - Monitoring & Data Tooling
Haemonetics Corp
Boston, MA jobs
We are constantly looking to add to our core talent. If you are seeking a career that is challenging and rewarding, a work environment that is diverse and dynamic, look no further - Haemonetics is your employer of choice. Job Details Internship projects vary depending on the needs of both the student and the business. Haemonetics interns are assigned to a meaningful project within the company to acquire a variety of experiences, try different skills, and learn what a future career might offer while also contributing to our innovation agenda by completing business-critical projects and assignments. The DevOps - Monitoring & Data Tooling Intern will be located onsite 3 days/2 days remote per week in our downtown Boston HQ located at 125 Summer St. The Summer 2026 Internship is a 12-week program that requires a commitment to start on June 1st and stay through August 21st. What You Will Do this Summer: Haemonetics is seeking a DevOps Intern to support the development and advancement of our monitoring, observability, and data-driven operational tooling. This role will be heavily focused on building and enhancing internal platforms that collect, analyze, and visualize systems telemetry, infrastructure health, and service-level performance data. This internship offers hands-on experience working within regulated medical-device and healthcare software environments, supporting tools that enable continuous monitoring, proactive risk mitigation, automated alerting, and data-based decision support for engineering and customer-facing service teams. Tasks: * Design, build, and improve monitoring & observability tooling for hosted and hybrid infrastructure environments. * Work with large datasets including logs, metrics, events, and service telemetry to derive insight and model patterns for alerting and performance dashboards. * Develop automated data pipelines for collecting and structuring monitoring data from diverse sources (cloud, on-prem, VPN-connected endpoints, etc.). * Build and enhance dashboards and visualizations in tools such as Grafana, Kibana, or internal BI/analytics services. * Implement and tune alerting, anomaly detection, and service health indicators (SLIs/SLOs). * Support operational automation of monitoring controls, including scripting health checks and notification workflows. * Partner with software & infrastructure teams to pilot new tooling that improves system stability, reliability, and response times. * Document and present findings on tooling performance and recommended improvements. Technical Focus Areas * Monitoring & Observability: metrics, synthetic checks, distributed tracing, log aggregation, alerting frameworks. * Data Engineering: ETL/ELT pipelines, structured/unstructured log analysis, API integrations, time-series data modeling. * Automation: scripting (Python, Bash), workflow automation, notification integrations (Slack, Teams, email), infrastructure health jobs. * Cloud + Hybrid Infra: AWS, VMware, VPN tunnel telemetry, load balancer and network observability fundamentals. What You Will Learn * End-to-end observability platform development * Working in a regulated healthcare software ecosystem * Infrastructure monitoring across multi-AZ cloud and private/hybrid environments * Translating raw telemetry into actionable engineering insights * Collaboration across DevOps, SRE, and customer-support engineering teams Who You Are: Degree Types: Computer Science, Informations Systems Preferred Coursework: Cloud Computing (AWS/Azure/GCP intro), DevOps Fundamentals, DevSecOps / Secure Software Delivery, IT Governance or, Compliance, Data Visualization, Site Reliability Engineering (SRE), Infrastructure as Code, Observability / Monitoring Tooling Required Skills: * Interest in DevOps, SRE, or data engineering * Familiarity with Linux, scripting, and APIs * Comfort working with data (logs, metrics, JSON, time-series) * Curiosity to explore new monitoring approaches * Nice to have * Exposure to Grafana, ELK stack, Prometheus, or cloud monitoring * Coursework or projects involving data pipelines or automation * Interest in analytics and visualization * Understanding of infrastructure reliability concepts Traits That Drive Success * Builder mindset with a focus on automation and scalability * Strong analytical thinking and data curiosity * Clear communicator, especially for technical findings * Interest in improving system resiliency through observability EEO Policy Statement Pay Transparency: The base pay actually offered to the successful candidate will take into account, without limitation, the candidate's location, education, job-knowledge, skills, and experience in prior relevant roles. Incentives may also be provided as part of Haemonetics' employee compensation. For sales roles, employees will be eligible for sales incentive (i.e., commission) under the applicable plan terms. For non-sales roles, employees will be eligible for a discretionary annual bonus, the target amount of which varies based on the applicable role, to be governed by the applicable plan terms. Employees may also be eligible to participate in the Company's long-term incentive plan, with eligibility and target amount dependent on the role. In addition to compensation, the Company offers a competitive suite of benefits to its employees, including without limitation, a 401(k) with up to a 6% employer match and no vesting period, an employee stock purchase plan, "flexible time off" for salaried employees and, for hourly employees, accrual of three to five weeks' vacation annually (based on tenure), accrual of up to 64 hours (annually) of paid sick time, paid and/or floating holidays, parental leave, short- and long-term disability insurance, tuition reimbursement, and/or health and welfare benefits. Depending on your location, you may be eligible for more detailed information related to the compensation and benefits related to this job posting. If you believe you may be entitled to such information by law, you may contact **************, Monday through Friday, 7:30 a.m. - 5 p.m. ET or email *********************. The base salary range for this role is: $20.63-$27.85/Hourly$20.6-27.9 hourly Auto-Apply 16d agoInternship - DevOps - Monitoring & Data Tooling
Haemonetics
Boston, MA jobs
We are constantly looking to add to our core talent. If you are seeking a career that is challenging and rewarding, a work environment that is diverse and dynamic, look no further - Haemonetics is your employer of choice. Job Details Internship projects vary depending on the needs of both the student and the business. Haemonetics interns are assigned to a meaningful project within the company to acquire a variety of experiences, try different skills, and learn what a future career might offer while also contributing to our innovation agenda by completing business-critical projects and assignments. The DevOps - Monitoring & Data Tooling Intern will be located onsite 3 days/2 days remote per week in our downtown Boston HQ located at 125 Summer St. The Summer 2026 Internship is a 12-week program that requires a commitment to start on June 1st and stay through August 21st. What You Will Do this Summer: Haemonetics is seeking a DevOps Intern to support the development and advancement of our monitoring, observability, and data-driven operational tooling. This role will be heavily focused on building and enhancing internal platforms that collect, analyze, and visualize systems telemetry, infrastructure health, and service-level performance data. This internship offers hands-on experience working within regulated medical-device and healthcare software environments, supporting tools that enable continuous monitoring, proactive risk mitigation, automated alerting, and data-based decision support for engineering and customer-facing service teams. Tasks: Design, build, and improve monitoring & observability tooling for hosted and hybrid infrastructure environments. Work with large datasets including logs, metrics, events, and service telemetry to derive insight and model patterns for alerting and performance dashboards. Develop automated data pipelines for collecting and structuring monitoring data from diverse sources (cloud, on-prem, VPN-connected endpoints, etc.). Build and enhance dashboards and visualizations in tools such as Grafana, Kibana, or internal BI/analytics services. Implement and tune alerting, anomaly detection, and service health indicators (SLIs/SLOs). Support operational automation of monitoring controls, including scripting health checks and notification workflows. Partner with software & infrastructure teams to pilot new tooling that improves system stability, reliability, and response times. Document and present findings on tooling performance and recommended improvements. Technical Focus Areas Monitoring & Observability: metrics, synthetic checks, distributed tracing, log aggregation, alerting frameworks. Data Engineering: ETL/ELT pipelines, structured/unstructured log analysis, API integrations, time-series data modeling. Automation: scripting (Python, Bash), workflow automation, notification integrations (Slack, Teams, email), infrastructure health jobs. Cloud + Hybrid Infra: AWS, VMware, VPN tunnel telemetry, load balancer and network observability fundamentals. What You Will Learn End-to-end observability platform development Working in a regulated healthcare software ecosystem Infrastructure monitoring across multi-AZ cloud and private/hybrid environments Translating raw telemetry into actionable engineering insights Collaboration across DevOps, SRE, and customer-support engineering teams Who You Are: Degree Types: Computer Science, Informations Systems Preferred Coursework: Cloud Computing (AWS/Azure/GCP intro), DevOps Fundamentals, DevSecOps / Secure Software Delivery, IT Governance or, Compliance, Data Visualization, Site Reliability Engineering (SRE), Infrastructure as Code, Observability / Monitoring Tooling Required Skills: Interest in DevOps, SRE, or data engineering Familiarity with Linux, scripting, and APIs Comfort working with data (logs, metrics, JSON, time-series) Curiosity to explore new monitoring approaches Nice to have Exposure to Grafana, ELK stack, Prometheus, or cloud monitoring Coursework or projects involving data pipelines or automation Interest in analytics and visualization Understanding of infrastructure reliability concepts Traits That Drive Success Builder mindset with a focus on automation and scalability Strong analytical thinking and data curiosity Clear communicator, especially for technical findings Interest in improving system resiliency through observability EEO Policy Statement Pay Transparency: The base pay actually offered to the successful candidate will take into account, without limitation, the candidate's location, education, job-knowledge, skills, and experience in prior relevant roles. Incentives may also be provided as part of Haemonetics' employee compensation. For sales roles, employees will be eligible for sales incentive (i.e., commission) under the applicable plan terms. For non-sales roles, employees will be eligible for a discretionary annual bonus, the target amount of which varies based on the applicable role, to be governed by the applicable plan terms. Employees may also be eligible to participate in the Company's long-term incentive plan, with eligibility and target amount dependent on the role. In addition to compensation, the Company offers a competitive suite of benefits to its employees, including without limitation, a 401(k) with up to a 6% employer match and no vesting period, an employee stock purchase plan, “flexible time off” for salaried employees and, for hourly employees, accrual of three to five weeks' vacation annually (based on tenure), accrual of up to 64 hours (annually) of paid sick time, paid and/or floating holidays, parental leave, short- and long-term disability insurance, tuition reimbursement, and/or health and welfare benefits. Depending on your location, you may be eligible for more detailed information related to the compensation and benefits related to this job posting. If you believe you may be entitled to such information by law, you may contact **************, Monday through Friday, 7:30 a.m. - 5 p.m. ET or email *********************. The base salary range for this role is: $20.63-$27.85/Hourly$20.6-27.9 hourly Auto-Apply 14d agoSummer Intern - Analytical Data Analyst
Karyopharm Therapeutics
Newton, MA jobs
Role Overview & Key Functions: If you want to do something that matters, this work matters. Patients drive our passion to pioneer novel cancer therapies. That's why we've built an environment centered around support, flexibility, and a shared mission. Creating and delivering medicine for cancer can only be done through focus, dedication, and heart. We hire exceptional people and trust each other to work in whatever way lets us, be us - whether that's onsite, from home, or anywhere in between. Our summer intern program, which will run from May 25th - Aug 7th, allows students to gain real world work experience in a high energy, collaborative work culture. Role Overview & Key functions: We are seeking a motivated and detail-oriented Analytical Data Analyst Summer Intern to be part of our Analytical team. This internship offers hands-on experience in analytical data analysis, trending, and generating reports/dashboards to support business decision-making. This experience will enhance the Intern's career prospects in Analytical and related fields. * Transfer data between Smartsheet and excel worksheets/workbooks. Ensuring data integrity and correct formatting in the new destination file. * Develop complex spreadsheets including creating formulas, functions, PivotTables, Power Query, and data visualization tools to generate reports/dashboards for reporting metrics to be used for annual Quality Management Review (QMR) of XPOVIO products. * Improve filtering techniques for data queries. * Participate and collaborate in cross-functional meetings with Quality and Pharmaceutical Sciences to understand data requirements and deliver analytical support. * Perform administrative tasks related to documentation to standardize formats, ensuring version control and gap assessments for missing values or duplicates as needed. Candidate Profile & Qualifications * Enrolled in a full-time pharmaceutical science, or statistical degree program * Proficiency with Microsoft Office including Word, Excel, PowerPoint, and Teams * Proficiency with PowerBI, JMP or excel statistical add-on packages a plus * Strong organization skills with the ability to handle multiple projects simultaneously and effectively * Strong communication and time management skills capable of working independently and cross-functionally in a remote work environment * Familiar with data analytics and trending including excel for graphing and hyperlinking source documents * Analytical or quality control experience in small or large molecules or oral drug products a plus for exposure to different types of data * Interest in understanding FDA regulatory commitments in commercial programs * Familiar with cGMP, USP, FDA, and ICH requirements a plus * You have a strong interest in life sciences and are passionate about giving patients with cancer a chance to enjoy more of life's precious moments. * You feel a strong connection with our ICARE values (Innovation, Courage, Alignment & Accountability, Resilience, and Energy) * You demonstrate enthusiasm for learnin Candidate Profile & Requirements: * Must be able to complete the Karyopharm Internship Program 27 May - 08 Aug 2025 * Currently enrolled high school or college (bachelor's program) student * Student must be returning to school in the Fall Term. * Must have a minimum GPA of 3.0 * Must be highly organized and have the ability to work in independently and collaboratively as a team * Clear, concise verbal & written communication Pay for internships ranges from $22 to $30 per hour, depending on the student's academic level (e.g., Bachelor's, Master's) and year in school. Our Value Proposition: At Karyopharm, we live and demonstrate our ICARE values every day! Check out our Culture Video!$22-30 hourly Auto-Apply 29d agoData Analyst / Data Visualization intern
Ipsen
Paris, TX jobs
Title: Data Analyst / Data Visualization intern Company: Ipsen Pharma (SAS) Ipsen is a mid-sized global biopharmaceutical company with a focus on transformative medicines in three therapeutic areas: Oncology, Rare Disease and Neuroscience. Supported by nearly 100 years of development experience, with global hubs in the U.S., France and the U.K, we tackle areas of high unmet medical need through research and innovation. Our passionate teams in more than 40 countries are focused on what matters and endeavor every day to bring medicines to patients in 88 countries. We build a workplace that champions human-centric leadership and fosters a culture of collaboration, excellence and impact. At Ipsen, every individual is empowered to be their true selves, grow and thrive alongside the company's success. Join us on our journey towards sustainable growth, creating real impact on patients and society! For more information, visit us at ********************** and follow our latest news on LinkedIn and Instagram. Job Description: Job Title: Data Analyst / Data Visualization intern - 5 to 6 months Division / Function: Global Medical Strategy, Governance & Operations Manager (Name, Job Title): Marion Bonnet, Global Medical Project Lead Location: Paris, France Summary / purpose of the position At Ipsen, the Global Medical Strategy, Governance & Operations (SGO) team operates within the Chief Medical Office (Medical Department). Our mission is to empower the medical community by delivering: * Strategic frameworks that define global medical priorities. * Governance structures to ensure compliance and alignment. * Operational support for the efficient execution of initiatives. One of our major transformational projects focuses on harmonizing dashboards across the Medical Department. Currently, dashboards are fragmented, inconsistently designed, and lack proper connectivity. The selected candidate will play a key role in defining and implementing a unified approach to identify and leverage dashboards and data sources that enable effective monitoring of all relevant medical activities. Responsibilities include: * Mapping existing dashboards and identifying gaps. * Collaborating with cross-functional teams to understand data needs. * Proposing a harmonized dashboard framework aligned with medical strategy. * Participating and leading in meetings and workshops to gather insights. * Developing and updating associated dashboards accordingly. * Working closely with IT/BI teams to ensure feasibility and integration. By joining the SGO team, you will lead a critical transformation, shaping the overall strategy using the latest internal resources and technologies, in close collaboration with other teams and departments. Main responsibilities / job expectations: * Inventory of current dashboards and their usage. * Identify the list of key questions that medical teams need dashboards to answer. * Proposal for unified dashboard structure and associated KPIs. * Draft implementation roadmap in close collaboration with IT/BI teams. * Maintain, improve, develop the appropriate dashboards and/or web apps based on the needs identified by the team and the roadmap develop. * Ensure delivery of the optimized dashboards and/or web apps as planned. * Enhance use and adoption within the Medical organization with dedicated trainings and open hours post release. * Collaborate with matrix teams within and outside Medical organization to ensure effective and efficient deployment of capabilities. * Actively seek out, develop, and share best practices. * Stay abreast of the evolving technical landscape, and remain current on the major data visualization libraries / stack / technologies. * Incentivize and pursue continuous improvement of existing capabilities and skills. Organization / personality: * Strong interpersonal skills. * You know how to prioritize your tasks, respect deadlines, alert in case of problems or questions. * Open and data-driven mindset. * Ability to synthesize complex medical data. * Agile, collaborative, and impact-driven mindset. * Solutions-oriented. * Curious to work in an international environment with interactions with different teams & departments. * Ideal candidates can communicate effectively, learn quickly, takes ownership of their work to deliver results, and is a true team-player. Knowledge, abilities & experience Education: Currently undertaking a master's degree (final year) in Data Science for Business, Data Analytics, or Digital Design. Languages: Comfortable working both in French and in English. French is a requirement / English should be at Professional level. Key Technical Competencies Required Experience with data visualization tool Power BI, web design (HTML, CSS, JavaScript or equivalent). Proficient in SQL/no SQL database creation and management (API building & web-scraping is a plus). Experience in Excel pivoting, data modeling is also ideal. Comfortable working within Microsoft environment globally & its integrated solutions (e.g. Power App, Power Automate). Comfortable with Python and/or R programming and with Databricks under Azure environment. Knowledge of healthcare, pharmaceutical industry and Medical affairs department is a plus. Nous nous engageons à créer un lieu de travail où chacun se sent écouté, valorisé et soutenu, où nous incarnons " The Real Us*". La valeur que nous accordons aux différentes perspectives et expériences motive notre engagement en faveur de l'inclusion et de l'égalité des chances. Lorsque nous intégrons des modes de pensée diversifiés, nous prenons des décisions plus réfléchies et découvrons des solutions plus innovantes. Ensemble, nous nous efforcons de mieux comprendre les communautés que nous servons. Cela signifie que nous voulons également vous aider à donner le meilleur de vous-même lorsque vous postulez à un poste chez nous. Si vous avez besoin d'aménagements ou d'aide pendant le processus de candidature, veuillez en informer l'équipe de recrutement. Ces informations seront traitées avec soin et n'auront aucune incidence sur le résultat de votre candidature. *Soyons nous-même$53k-76k yearly est. Auto-Apply 55d ago2026 Summer Internship Program: Global Manufacturing Science (GMSci) Small Molecule API Intern
Takeda Pharmaceuticals
Boston, MA jobs
By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice (************************************** and Terms of Use (********************************************* . I further attest that all information I submit in my employment application is true to the best of my knowledge. **Job Description** Our mission is to create an agile and predictive scientific and technical organization supporting manufacturing and supply of Takeda portfolio products and collaborating with R&D/Pharmaceutical Sciences on enabling late phase development and industrializing commercial manufacturing of new innovative medicines for our patients around the world through robust CMC processes. Global Manufacturing Science is a part of Global Manufacturing and Supply and is based in Boston. **How you will contribute:** + Support the commercial manufacturing of active pharmaceutical ingredients/drug substances through the review of relevant documents and compile certain parameters in excel sheet + Perform statistical tools including digital tools designed for the purpose + Contribute to manufacturing investigation through collecting the relevant information from the documents provided + Assess the quality and regulatory impact in line with the guidelines **Internship Development Opportunities:** + How to learn and apply regulatory principles of commercial manufacturing in pharmaceutical industry + Approaches to solving real-world problems in commercial manufacturing using Digital and statistical tools + Methodologies in using real-world evidence (RWE) to help deliver medicines to patients globally + Exposure to professional environment and development of commercial settings **Job Requirements:** + This position will be Hybrid and require 2-3 days in the Cambridge office per week. + Applicants must be enrolled in a U.S. accredited university for the semester before and immediately following the internship. + Applicants must be pursuing a Bachelor's degree and have completed at least their freshman/sophomore year or be a graduate level student pursuing either a PharmD or Master's degree + For Bachelor's and Master's degree students, a major in healthcare, pharmacy or life science field is preferred. **Internship Eligibility** + Mustbe authorized towork in the U.S. on a permanent basis without requiring sponsorship + Must be currently enrolled in a degree program graduating December 2026 or later + The internship program is 10-12 weeks depending on the two start dates (May 26th-August 14thor June 15th- August 21st) + The intern must be able to commit to one of thesetime frames + Able to work full time40 hoursa week during internship dates + Takeda does not provide a housing stipend or relocation support for the U.S Summer Internship Program **Program Highlights:** + Hands-on experience with real projects and responsibilities + Dedicated mentorship program pairing interns with experienced professionals + Networking opportunities with industry professionals and fellow interns + Internship events focused on professional and skills development + Exposure to multiple business areas or departments within a Pharmaceutical Organization Applications will be accepted between November 7th- January 4th. **Takeda Compensation and Benefits** **Summary** We understand compensation may be an important factor as you consider an internship opportunity. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. **For Location:** Boston, MA **U.S. Hourly Wage Range:** $21.00 - $46.00 The estimated hourly range reflects an anticipated range for this position. The actual hourly wage offered will depend on the candidate's school year/level to be entered following completion of internship. The actual hourly wage offered will be in accordance with state or local minimum wage requirements for the job location. U.S. internship benefits vary by location and may include: + Paid sick time + Civic Duty paid time off + Participation at company volunteer events + Participation at company sponsored special events + Access to on-site fitness center (where available) + Commuter Benefit: To offset your work-commute expenses, Takeda provides U.S. employees with a fixed monthly subsidy to be used for either public transportation (transit) or parking. **EEO Statement** _Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law._ **Locations** Boston, MA **Worker Type** Employee **Worker Sub-Type** Paid Intern (Fixed Term) (Trainee) **Time Type** Full time **Job Exempt** No It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.$21-46 hourly 60d+ agoBiostatistics Evidence Generation & Decision Sciences (EGDS)- Summer 2026 Intern
Sanofi Group
Cambridge, MA jobs
**Job Title:** Biostatistics Evidence Generation & Decision Sciences (EGDS) - Summer 2026 Intern **About the Job** Are you ready to shape the future of medicine? The race is on to speed up drug discovery and development to find answers for patients and their families. Your skills could be critical in helping our teams accelerate progress. Join our B&P Neurology team as a Data Analyst and you'll lead one or several late phase studies, or lead an indication for a complex compound, under supervision of statistical project leader and/or team leader. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? **Main Responsibilities:** + Contribute to the design and analysis of both early- and late-phase clinical trials by applying advanced statistical methods and data analysis techniques. + Support the development, evaluation, and implementation of innovative statistical methodologies to address complex problems in clinical research. + Work collaboratively under the guidance and mentorship of senior-level statisticians, gaining hands-on experience in study planning, data interpretation, and the preparation of statistical reports and publications. **About You** **Basic Qualifications:** + Currently enrolled and pursuing PhD in Statistics or Biostatistics at an accredited college or university + Candidates must have completed at least two years of graduate coursework and be working on a dissertation toward a PhD in Statistics or Biostatistics + Experience with SAS and R + Must be able to relocate to the office location and work 40hrs/week, Monday-Friday, for the full duration of the co-op/internship + **Must be permanently authorized to work in the U.S. and not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship** **Preferred Qualifications:** + Effective oral and written communication skills + Experience with python is a plus **Why Choose Us?** + Bring the miracles of science to life alongside a supportive, future-focused team. + Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally. + Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. + Exposure to cutting-edge technologies and research methodologies + Networking opportunities within Sanofi and the broader biotech community. Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. \#GD-SA \#LI-SA \#LI-Onsite \#vhd **Pursue** **_progress_** **, discover** **_extraordinary_** Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our ALL IN video (************************************************** and check out our Diversity Equity and Inclusion actions at sanofi.com (************************************************************************ ! _US and Puerto Rico Residents Only_ Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. Global Terms & Conditions and Data Privacy Statement (*************************************************************** Sanofi is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering. We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions. With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe. Discover more about us visiting ************** or via our movie We are Sanofi (***************************** As an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live. All in for Diversity, Equity and Inclusion at Sanofi - YouTube (************************************************$73k-112k yearly est. 60d+ agoSummer 2026 Internship: Data Science - San Diego, CA
DSM
San Diego, CA jobs
Summer 2026 Internship: Data Science If you're looking to grow your network and gain new skills within a global company, an internship with dsm-firmenich could be the program for you. Our summer internships provide students opportunities to work on real business projects and gain invaluable professional experience. As an intern, you'll have exposure to many different areas of a global flavors, fragrances, and ingredients organization that works with some of the biggest brands in the world, along with opportunities to network with your peers and leadership. From engaging events to mentoring opportunities and valuable resume-building experiences, we're committed to preparing you for a fulfilling and enduring career, both at dsm-firmenich and beyond. We are currently looking for a Data Science Intern at our San Diego, CA office. The 2026 dsm-firmenich Summer Internship Program will run from June 1, 2026 to August 14, 2026. Working Hours: Monday - Friday, 8:00am - 5:00pm Join our Data Science and AI team as an intern and gain invaluable professional experience. Enhance your skills and contribute to real projects that have visibility across the business through a Summer internship. Come discover all we have to offer! Your key responsibilities * Preparing AI-ready datasets (e.g. linked molecule data, harmonization of clinical trial related datasets, opportunity to design user-relevant clinical data management processes as part of an expert FAIR data), including feature engineering and data quality checks; conduct analysis, and exploratory research across active projects * Train, evaluate, and fine-tune machine learning models under guidance from senior scientists * Implement and test ML algorithm or small prototypes to support ongoing research * Contribute to model performance reporting, experiment tracking, and clear documentation We bring * Build Your Future Skills: Gain hands-on experience and develop practical skills that prepare you for a successful career. * Expand Your Network: Connect with professionals and peers in a company where sustainability drives every decision and action. * Thrive in an Inclusive Culture: Join a community that values and respects every individual-regardless of background, beliefs, or identity. * Grow Through Curiosity: Work in an environment that encourages open-mindedness, learning, and collaboration to create a better future together. You Bring * Currently working on completion of a Bachelor's or Master's or PhD degree in Data Science, Computer Science, Statistics, Bioinformatics, Physics, Cheminformatics, or a related field * Candidates must be available to work full-time on-site beginning on June 1, 2026 to August 14, 2026. * Strong coding skills in Python and/or R, SAS, with experience using common data science libraries; Familiarity with cloud platform such as AWS, Azure for data processing or model development * Solid understanding of machine learning fundamentals and experience working with real-world datasets is preferred * Excellent communication and interpersonal skills * Versatility, flexibility, and a willingness to work within constantly changing priorities with enthusiasm The hourly rate for this position is $23.00 - $26.00 per hour. Compensation will be dependent on factors that include location, education, training, specific skills, and years of experience. About dsm-firmenich: At dsm-firmenich, we don't just meet expectations - we go beyond them. Join our global team powered by science, creativity, and a shared purpose: to bring progress to life. From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions - every single day. Whether it's fragrance that helps you focus, alternative meat that's better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere. And while you're making a difference, we'll make sure you're growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They're essential to our future. Because real progress only happens when we go beyond, together. Inclusion, belonging and equal opportunity statement: At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work - and that's exactly the kind of culture we're building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong. We're proud to be an equal opportunity employer, and we're serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we're committed to reflecting the world we serve. We welcome candidates from all backgrounds - no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you. And if you have a disability or need any support through the application process, we're here to help - just let us know what you need, and we'll do everything we can to make it work. Agency statement: We're managing this search directly at dsm-firmenich. If you're applying as an individual, we'd love to hear from you. We're not accepting agency submissions or proposals involving fees or commissions for this role.$23-26 hourly 14d agoSummer 2026 Internship: Data Science - Princeton, NJ
DSM
Princeton, NJ jobs
Summer 2026 Internship: Data Science If you're looking to grow your network and gain new skills within a global company, an internship with dsm-firmenich could be the program for you. Our summer internships provide students opportunities to work on real business projects and gain invaluable professional experience. As an intern, you'll have exposure to many different areas of a global flavors, fragrances, and ingredients organization that works with some of the biggest brands in the world, along with opportunities to network with your peers and leadership. From engaging events to mentoring opportunities and valuable resume-building experiences, we're committed to preparing you for a fulfilling and enduring career, both at dsm-firmenich and beyond. We are currently looking for a Data Science Intern at our Princeton, NJ office. The 2026 dsm-firmenich Summer Internship Program will run from June 1, 2026 to August 14, 2026. Working Hours: Monday - Friday, 8:00am - 5:00pm Join our Data Science and AI team as an intern and gain invaluable professional experience. Enhance your skills and contribute to real projects that have visibility across the business through a Summer internship. Come discover all we have to offer! Your key responsibilities * Preparing AI-ready datasets (e.g. linked molecule data, harmonization of clinical trial related datasets, opportunity to design user-relevant clinical data management processes as part of an expert FAIR data), including feature engineering and data quality checks; conduct analysis, and exploratory research across active projects * Train, evaluate, and fine-tune machine learning models under guidance from senior scientists * Implement and test ML algorithm or small prototypes to support ongoing research * Contribute to model performance reporting, experiment tracking, and clear documentation We bring * Build Your Future Skills: Gain hands-on experience and develop practical skills that prepare you for a successful career. * Expand Your Network: Connect with professionals and peers in a company where sustainability drives every decision and action. * Thrive in an Inclusive Culture: Join a community that values and respects every individual-regardless of background, beliefs, or identity. * Grow Through Curiosity: Work in an environment that encourages open-mindedness, learning, and collaboration to create a better future together. You Bring * Currently working on completion of a Bachelor's or Master's or PhD degree in Data Science, Computer Science, Statistics, Bioinformatics, Physics, Cheminformatics, or a related field * Candidates must be available to work full-time on-site beginning on June 1, 2026 to August 14, 2026. * Strong coding skills in Python and/or R, SAS, with experience using common data science libraries; Familiarity with cloud platform such as AWS, Azure for data processing or model development * Solid understanding of machine learning fundamentals and experience working with real-world datasets is preferred * Excellent communication and interpersonal skills * Versatility, flexibility, and a willingness to work within constantly changing priorities with enthusiasm The hourly rate for this position is $23.00 - $26.00 per hour. Compensation will be dependent on factors that include location, education, training, specific skills, and years of experience. About dsm-firmenich: At dsm-firmenich, we don't just meet expectations - we go beyond them. Join our global team powered by science, creativity, and a shared purpose: to bring progress to life. From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions - every single day. Whether it's fragrance that helps you focus, alternative meat that's better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere. And while you're making a difference, we'll make sure you're growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They're essential to our future. Because real progress only happens when we go beyond, together. Inclusion, belonging and equal opportunity statement: At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work - and that's exactly the kind of culture we're building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong. We're proud to be an equal opportunity employer, and we're serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we're committed to reflecting the world we serve. We welcome candidates from all backgrounds - no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you. And if you have a disability or need any support through the application process, we're here to help - just let us know what you need, and we'll do everything we can to make it work. Agency statement: We're managing this search directly at dsm-firmenich. If you're applying as an individual, we'd love to hear from you. We're not accepting agency submissions or proposals involving fees or commissions for this role.$23-26 hourly 14d agoSummer 2026 Internship: Data Science Intern - Princeton, NJ
DSM
Princeton, NJ jobs
Summer 2026 Internship: Data Science If you're looking to grow your network and gain new skills within a global company, an internship with dsm-firmenich could be the program for you. Our summer internships provide students opportunities to work on real business projects and gain invaluable professional experience. As an intern, you'll have exposure to many different areas of a global flavors, fragrances, and ingredients organization that works with some of the biggest brands in the world, along with opportunities to network with your peers and leadership. From engaging events to mentoring opportunities and valuable resume-building experiences, we're committed to preparing you for a fulfilling and enduring career, both at dsm-firmenich and beyond. We are currently looking for a Data Science Intern at our Princeton, NJ office. The 2026 dsm-firmenich Summer Internship Program will run from June 1, 2026 to August 14, 2026. Working Hours: Monday - Friday, 8:00am - 5:00pm Join our Data Science and AI team as an intern and gain invaluable professional experience. Enhance your skills and contribute to real projects that have visibility across the business through a Summer internship. Come discover all we have to offer! Your key responsibilities * Preparing AI-ready datasets (e.g. linked molecule data, harmonization of clinical trial related datasets, opportunity to design user-relevant clinical data management processes as part of an expert FAIR data), including feature engineering and data quality checks; conduct analysis, and exploratory research across active projects * Train, evaluate, and fine-tune machine learning models under guidance from senior scientists * Implement and test ML algorithm or small prototypes to support ongoing research * Contribute to model performance reporting, experiment tracking, and clear documentation We bring * Build Your Future Skills: Gain hands-on experience and develop practical skills that prepare you for a successful career. * Expand Your Network: Connect with professionals and peers in a company where sustainability drives every decision and action. * Thrive in an Inclusive Culture: Join a community that values and respects every individual-regardless of background, beliefs, or identity. * Grow Through Curiosity: Work in an environment that encourages open-mindedness, learning, and collaboration to create a better future together. You Bring * Currently working on completion of a Bachelor's or Master's or PhD degree in Data Science, Computer Science, Statistics, Bioinformatics, Physics, Cheminformatics, or a related field * Candidates must be available to work full-time on-site beginning on June 1, 2026 to August 14, 2026. * Strong coding skills in Python and/or R, SAS, with experience using common data science libraries; Familiarity with cloud platform such as AWS, Azure for data processing or model development * Solid understanding of machine learning fundamentals and experience working with real-world datasets is preferred * Excellent communication and interpersonal skills * Versatility, flexibility, and a willingness to work within constantly changing priorities with enthusiasm The hourly rate for this position is $23.00 - $26.00 per hour. Compensation will be dependent on factors that include location, education, training, specific skills, and years of experience. About dsm-firmenich: At dsm-firmenich, we don't just meet expectations - we go beyond them. Join our global team powered by science, creativity, and a shared purpose: to bring progress to life. From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions - every single day. Whether it's fragrance that helps you focus, alternative meat that's better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere. And while you're making a difference, we'll make sure you're growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They're essential to our future. Because real progress only happens when we go beyond, together. Inclusion, belonging and equal opportunity statement: At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work - and that's exactly the kind of culture we're building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong. We're proud to be an equal opportunity employer, and we're serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we're committed to reflecting the world we serve. We welcome candidates from all backgrounds - no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you. And if you have a disability or need any support through the application process, we're here to help - just let us know what you need, and we'll do everything we can to make it work. Agency statement: We're managing this search directly at dsm-firmenich. If you're applying as an individual, we'd love to hear from you. We're not accepting agency submissions or proposals involving fees or commissions for this role.$23-26 hourly 14d agoAI PhD Discovery Data Science Internship
Eli Lilly and Company
Gas City, IN jobs
At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. AI PhD Discovery Data Science Internship Overview: You will be part of a growing and dynamic Advanced Intelligence (AI) team whose main goal is to develop algorithms and methods for discovery research, or methods to support research goals through advanced AI/ML. Responsibilities: Partner with research teams to identify, scope, and execute analytic efforts that answer scientific questions, solve business needs, and add business value Maintain a broad understanding of drug discovery with scientific teams, bringing an objective voice to the table, and facilitating decisions grounded in data Collaborate with other analytics team members to review and provide feedback on the analytics work being done, and be willing to seek feedback from other team members about your own work Stay current with respect to statistical/mathematical/AI modeling methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected Requirements: Currently enrolled in and attending school. PhD student with at least three years of completed graduate work in Statistics, Computer Science, Electrical and Computer Engineering, Operations Research, Mathematics/Applied Math, or closely related field. Desired Experience: Deep and broad knowledge of statistical modeling, natural language processing, machine learning, deep learning, computer vision, image analysis, and data mining methods and tools Proficiency with analytic tools (R, Python, C++) Interpersonal communication skills for effective customer consultation Teamwork and leadership skills Self-management skills with a focus on results for timely and accurate completion of competing deliverables Make the impossible possible in your quest to make life better Bring Analytics to life by giving it zeal and making it applicable to our business Know, learn, and keep up-to-date on the statistical and scientific advances to maximize your impact Bring an insatiable desire to learn, to innovate, and to challenge yourself for the benefit of patients Additional Benefits: All interns will be considered for full-time positions based on their internship performance and the business need Lilly arranges various intern activities including sporting events, dinners, lunch and learns, etc. to provide opportunities for socializing, professional development, and learning more about Lilly Interns will receive a competitive salary and free parking at their work site, as well as access to Lilly's LIFE fitness center and bike garage If the intern's job position requires a move from another location, Lilly will provide travel arrangements and subsidized housing Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (******************************************************** for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), en Able (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $65.00 / per hour Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly$65 hourly Auto-Apply 60d+ agoSummer 2026 Internship: Data Science - Lexington, MA
DSM
Lexington, MA jobs
Summer 2026 Internship: Data Science Intern If you're looking to grow your network and gain new skills within a global company, an internship with dsm-firmenich could be the program for you. Our summer internships provide students opportunities to work on real business projects and gain invaluable professional experience. As an intern, you'll have exposure to many different areas of a global flavors, fragrances, and ingredients organization that works with some of the biggest brands in the world, along with opportunities to network with your peers and leadership. From engaging events to mentoring opportunities and valuable resume-building experiences, we're committed to preparing you for a fulfilling and enduring career, both at dsm-firmenich and beyond. We are currently looking for a Data Science Intern at our Lexington, MA office. The 2026 dsm-firmenich Summer Internship Program will run from June 1, 2026 to August 14, 2026. Working Hours: Monday - Friday, 8:00am - 5:00pm Join our Data Science and AI team as an intern and gain invaluable professional experience. Enhance your skills and contribute to real projects that have visibility across the business through a Summer internship. Come discover all we have to offer! Your key responsibilities * Preparing AI-ready datasets (e.g. linked molecule data, harmonization of clinical trial related datasets, opportunity to design user-relevant clinical data management processes as part of an expert FAIR data), including feature engineering and data quality checks; conduct analysis, and exploratory research across active projects * Train, evaluate, and fine-tune machine learning models under guidance from senior scientists * Implement and test ML algorithm or small prototypes to support ongoing research * Contribute to model performance reporting, experiment tracking, and clear documentation We bring * Build Your Future Skills: Gain hands-on experience and develop practical skills that prepare you for a successful career. * Expand Your Network: Connect with professionals and peers in a company where sustainability drives every decision and action. * Thrive in an Inclusive Culture: Join a community that values and respects every individual-regardless of background, beliefs, or identity. * Grow Through Curiosity: Work in an environment that encourages open-mindedness, learning, and collaboration to create a better future together. You Bring * Currently working on completion of a Bachelor's or Master's or PhD degree in Data Science, Computer Science, Statistics, Bioinformatics, Physics, Cheminformatics, or a related field * Candidates must be available to work full-time on-site beginning on June 1, 2026 to August 14, 2026. * Strong coding skills in Python and/or R, SAS, with experience using common data science libraries; Familiarity with cloud platform such as AWS, Azure for data processing or model development * Solid understanding of machine learning fundamentals and experience working with real-world datasets is preferred * Excellent communication and interpersonal skills * Versatility, flexibility, and a willingness to work within constantly changing priorities with enthusiasm The hourly rate for this position is $23.00 - $26.00 per hour. Compensation will be dependent on factors that include location, education, training, specific skills, and years of experience. About dsm-firmenich: At dsm-firmenich, we don't just meet expectations - we go beyond them. Join our global team powered by science, creativity, and a shared purpose: to bring progress to life. From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions - every single day. Whether it's fragrance that helps you focus, alternative meat that's better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere. And while you're making a difference, we'll make sure you're growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They're essential to our future. Because real progress only happens when we go beyond, together. Inclusion, belonging and equal opportunity statement: At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work - and that's exactly the kind of culture we're building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong. We're proud to be an equal opportunity employer, and we're serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we're committed to reflecting the world we serve. We welcome candidates from all backgrounds - no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you. And if you have a disability or need any support through the application process, we're here to help - just let us know what you need, and we'll do everything we can to make it work. Agency statement: We're managing this search directly at dsm-firmenich. If you're applying as an individual, we'd love to hear from you. We're not accepting agency submissions or proposals involving fees or commissions for this role.$23-26 hourly 14d agoPatient Safety Science & Pharmacovigilance Intern
Corcept Therapeutics
Redwood City, CA jobs
Corcept is leading the way in the research and development of cortisol modulators, molecules that regulate cortisol activity at the glucocorticoid receptor (GR). To date, we have discovered more than 1,000 selective proprietary cortisol modulators. In 2012, we received FDA approval of Korlym (mifepristone), the first approved treatment for hypercortisolism (Cushing's syndrome). Today, our team and collaborators continue to unlock the possibilities of cortisol modulation as a way to treat serious diseases. With more than 30 ongoing studies across a wide range of disease areas, including endocrinology, oncology, metabolism, and neurology, we remain dedicated to advancing the possibilities of cortisol modulation. What began as a ripple of scientific truth is now poised to unleash a sea change of discovery representing a fundamental shift in the way we understand and treat disease. Come spend your summer working with passionate colleagues and inspirational leaders, all while gaining world-class experience in one of the fast-growing biotechs in the Bay Area. The Patient Safety and Pharmacovigilance (PSPV) organization works collaboratively and strategically with colleagues across the product lifecycle to identify, evaluate, understand, and communicate the safety profile of Corcept products to protect patients worldwide. The PSPV intern will work under the supervision of the Head of Safety Science and learn about core Patient Safety pharmacovigilance activities, including signal detection, benefit-risk evaluation, aggregate safety reports, and the role of Patient Safety in clinical trial-related activities, including study-related documents and regulatory submissions. Responsibilities: Supports authoring or otherwise contributes to the preparation of aggregate safety reports Supports implementation of decisions from the signal evaluation process, including Investigator's Brochure and other key safety documents and deliverables May perform safety reviews of clinical trial protocols, Investigator's Brochures, clinical study reports, informed consent forms and other study related documents Contribute to health authority or other safety related query responses Ensures own work complies with established practices, policies and processes and any regulatory or other requirements Deliver a department presentation at the end of the program Participate as a member of the 2026 intern team group project that includes a company-wide presentation Preferred Skills, Qualifications and Technical Proficiencies: Knowledgeable in Microsoft Word, PowerPoint and Excel preferred Excellent verbal and written communication skills Ability to work in teams and independently Must be able to complete at least 10 consecutive weeks between June and August and it is a full-time internship (40 hours per week) Must be able to work at our Redwood City office for the duration of the internship, no relocation available Preferred Education and Experience: Currently enrolled as a sophomore, junior or senior an accredited university with a major in nursing, pharmacy or other medical/health/life sciences major GPA at least 3.0 The pay range that the Company reasonably expects to pay for this headquarters-based position is $26/hr - $32/hr; the pay ultimately offered may vary based on legitimate considerations, including geographic location, job-related knowledge, skills, experience and education. Applicants must be currently authorized to work in the United States on a full-time basis. For information on how Corcept collects, uses, discloses, protects, and otherwise processes personal information and an explanation of the rights and choices available to you with respect to your personal information, please refer to our Privacy Notice link. Corcept appreciates the commitment and hard work of all our team members as we strive to discover and develop novel treatments for patients with serious unmet medical needs. Please visit our website at: ************************ Corcept is an Equal Opportunity Employer Corcept will not conduct interviews via text message or messaging platforms and will not ask you to download anything as part of your interview. Though we use third-party tools to help with advertising our jobs, please be vigilant in checking that the communication is in fact coming from Corcept.$26 hourly Auto-Apply 2d agoClinical Supplies Data Analyst Intern, Undergraduate Students
Astrazeneca
Gaithersburg, MD jobs
We are looking for undergraduate junior and senior level students majoring in Information Systems & Analytics / Data Analytics Engineering, or a related discipline for a 12-week internship role in Gaithersburg, MD from May 18th to August 7th. Position Duties: Improve the IRT setup process. Data analysis for LCS and provide insight for label generation process. Data enrichment and data harmonization. Position Requirements: Undergraduate junior and senior level students majoring in Information Systems & Analytics / Data Analytics Engineering, or a related discipline. Candidates must have an expected graduation date after August 2026. Proficiency in SQL required. Prior agentic AI knowledge required. Proficiency with an object-oriented programming language, such as Python, Swift, Objective C or Java required. Ability to report onsite to Gaithersburg, MD 3-5 days per week. This role will not provide relocation assistance. US Work Authorization is required at time of application. This role will not be providing CPT support. Compensation: $39 hourly. Date Posted 19-Dec-2025 Closing Date 29-Jan-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.$39 hourly Auto-Apply 34d agoStaff Data Scientist
Recursion Pharmaceuticals
New York, NY jobs
Your work will change lives. Including your own. The Impact You'll Make As a member of Recursion's AI-driven drug discovery initiatives, you will be at the forefront of reimagining how biological knowledge is generated, stored, accessed, and reasoned upon by LLMs. You will play a key role in developing the biological reasoning infrastructure, connecting large-scale data and codebases with dynamic, agent-driven AI systems.You will be responsible for defining the architecture that grounds our agents in biological truth. This involves integrating biomedical resources to enable AI systems to reason effectively and selecting the most appropriate data retrieval strategies to support those insights. This is a highly collaborative role: you will partner with machine learning engineers, biologists, chemists, and platform teams to build the connective tissue that allows our AI agents to reason like a scientist. The ideal candidate possesses deep expertise in both core bioinformatics/cheminformatics libraries and modern GenAI frameworks (including RAG and MCP), a strong architectural vision, and the ability to translate high-potential prototypes into scalable production workflows. In this role, you will: * Architect and maintain robust infrastructure to keep critical internal and external biological resources (e.g., ChEMBL, Ensembl, Reactome, proprietary assays) up-to-date and accessible to reasoning agents. * Design sophisticated context retrieval strategies, choosing the most effective approach for each biological use case, whether working with structured, entity-focused data, unstructured RAG, or graph-based representations. * Integrate established bioinformatics/cheminformatics libraries into a GenAI ecosystem, creating interfaces (such as via MCP) that allow agents to autonomously query and manipulate biological data. * Pilot methods for tool use by LLMs, enabling the system to perform complex tasks like pathway analysis on the fly rather than relying solely on memorized weights. * Develop scalable, production-grade systems that serve as the backbone for Recursion's automated scientific reasoning capabilities. * Collaborate cross-functionally with Recursion's core biology, chemistry, data science and engineering teams to ensure our biological data and the reasoning engines are accurately reflecting the complexity of disease biology and drug discovery. * Present technical trade-offs (e.g., graph vs. vector) to leadership and stakeholders in a clear, compelling way that aligns technical reality with product vision. The Team You'll Join You'll join a bold, agile team of scientists and engineers dedicated to building comprehensive biological maps by integrating Recursion's in-house datasets, patient data, and external knowledge layers to enable sophisticated agent-based reasoning. Within this cross-functional team, you will design and maintain the biological context and data structures that allow agents to reason accurately and efficiently. You'll collaborate closely with wet-lab biologists and core platform engineers to develop systems that are not only technically robust but also scientifically rigorous. The ideal candidate is curious about emerging AI technologies, passionate about making biological data both machine-readable and machine-understandable, and brings a strong foundation in systems biology, biomedical data analysis, and agentic AI systems. The Experience You'll Need * PhD in a relevant field (Bioinformatics, Cheminformatics, Computational Biology, Computer Science, Systems Biology) with 5+ years of industry experience, or MS in a relevant field with 7+ years of experience, focusing on biological data representation and retrieval. * Proficiency in utilizing major public biological databases (NCBI, Ensembl, STRING, GO) and using standard bioinformatics/cheminformatics toolkits (e.g., RDKit, samtools, Biopython). * Strong skills in designing and maintaining automated data pipelines that support continuous ingestion, transformation, and refresh of biological data without manual intervention. * Ability to work with knowledge graph data models and query languages (e.g., RDF, SPARQL, OWL) and translate graph-structured data into relational or other non-graph representations, with a strong judgment in evaluating trade-offs between different approaches. * Competence in building and operating GenAI stacks, including RAG systems, vector databases, and optimization of context windows for large-scale LLM deployments. * Hands-on expertise with agentic AI frameworks (e.g., MCP, Google ADK, LangChain, AutoGPT) and familiarity with leading LLMs (e.g., Google Gemini/Gemma) in agentic workflows, including benchmarking and evaluating agent performance on bioinformatics/cheminformatics tasks such as structure prediction, target identification, and pathway mapping. * Strong Python skills and adherence to software engineering best practices, including CI/CD, Git-based version control, and modular design. * Excellent cross-functional communication skills, ability to clearly explain complex architectural decisions to both scientific domain experts and technical stakeholders. Nice to Have * Strong background in machine learning and deep learning, including hands-on experience with foundation models and modern neural architectures. * Fine-tuning LLMs on scientific corpora for domain-specific reasoning. * Integrating LLMs with experimental or proprietary assay data in live scientific workflows. * Background in drug discovery and target identification. * Meaningful contributions to open-source libraries, research codebases, or community-driven tools. Working Location & Compensation: This is an office-based, hybrid role in either our Salt Lake City, UT or New York City, NY offices. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $200,600 - $238,400. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. #LI-DNI The Values We Hope You Share: * We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. * We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. * We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. * We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. * We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. * We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at ****************** or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.$200.6k-238.4k yearly Auto-Apply 33d agoStaff Data Scientist
Recursion
Saltaire, NY jobs
Your work will change lives. Including your own. The Impact You'll Make As a member of Recursion's AI-driven drug discovery initiatives, you will be at the forefront of reimagining how biological knowledge is generated, stored, accessed, and reasoned upon by LLMs. You will play a key role in developing the biological reasoning infrastructure, connecting large-scale data and codebases with dynamic, agent-driven AI systems.You will be responsible for defining the architecture that grounds our agents in biological truth. This involves integrating biomedical resources to enable AI systems to reason effectively and selecting the most appropriate data retrieval strategies to support those insights. This is a highly collaborative role: you will partner with machine learning engineers, biologists, chemists, and platform teams to build the connective tissue that allows our AI agents to reason like a scientist. The ideal candidate possesses deep expertise in both core bioinformatics/cheminformatics libraries and modern GenAI frameworks (including RAG and MCP), a strong architectural vision, and the ability to translate high-potential prototypes into scalable production workflows. In this role, you will: Architect and maintain robust infrastructure to keep critical internal and external biological resources (e.g., ChEMBL, Ensembl, Reactome, proprietary assays) up-to-date and accessible to reasoning agents. Design sophisticated context retrieval strategies, choosing the most effective approach for each biological use case, whether working with structured, entity-focused data, unstructured RAG, or graph-based representations. Integrate established bioinformatics/cheminformatics libraries into a GenAI ecosystem, creating interfaces (such as via MCP) that allow agents to autonomously query and manipulate biological data. Pilot methods for tool use by LLMs, enabling the system to perform complex tasks like pathway analysis on the fly rather than relying solely on memorized weights. Develop scalable, production-grade systems that serve as the backbone for Recursion's automated scientific reasoning capabilities. Collaborate cross-functionally with Recursion's core biology, chemistry, data science and engineering teams to ensure our biological data and the reasoning engines are accurately reflecting the complexity of disease biology and drug discovery. Present technical trade-offs (e.g., graph vs. vector) to leadership and stakeholders in a clear, compelling way that aligns technical reality with product vision. The Team You'll Join You'll join a bold, agile team of scientists and engineers dedicated to building comprehensive biological maps by integrating Recursion's in-house datasets, patient data, and external knowledge layers to enable sophisticated agent-based reasoning. Within this cross-functional team, you will design and maintain the biological context and data structures that allow agents to reason accurately and efficiently. You'll collaborate closely with wet-lab biologists and core platform engineers to develop systems that are not only technically robust but also scientifically rigorous. The ideal candidate is curious about emerging AI technologies, passionate about making biological data both machine-readable and machine-understandable, and brings a strong foundation in systems biology, biomedical data analysis, and agentic AI systems. The Experience You'll Need PhD in a relevant field (Bioinformatics, Cheminformatics, Computational Biology, Computer Science, Systems Biology) with 5+ years of industry experience, or MS in a relevant field with 7+ years of experience, focusing on biological data representation and retrieval. Proficiency in utilizing major public biological databases (NCBI, Ensembl, STRING, GO) and using standard bioinformatics/cheminformatics toolkits (e.g., RDKit, samtools, Biopython). Strong skills in designing and maintaining automated data pipelines that support continuous ingestion, transformation, and refresh of biological data without manual intervention. Ability to work with knowledge graph data models and query languages (e.g., RDF, SPARQL, OWL) and translate graph-structured data into relational or other non-graph representations, with a strong judgment in evaluating trade-offs between different approaches. Competence in building and operating GenAI stacks, including RAG systems, vector databases, and optimization of context windows for large-scale LLM deployments. Hands-on expertise with agentic AI frameworks (e.g., MCP, Google ADK, LangChain, AutoGPT) and familiarity with leading LLMs (e.g., Google Gemini/Gemma) in agentic workflows, including benchmarking and evaluating agent performance on bioinformatics/cheminformatics tasks such as structure prediction, target identification, and pathway mapping. Strong Python skills and adherence to software engineering best practices, including CI/CD, Git-based version control, and modular design. Excellent cross-functional communication skills, ability to clearly explain complex architectural decisions to both scientific domain experts and technical stakeholders. Nice to Have Strong background in machine learning and deep learning, including hands-on experience with foundation models and modern neural architectures. Fine-tuning LLMs on scientific corpora for domain-specific reasoning. Integrating LLMs with experimental or proprietary assay data in live scientific workflows. Background in drug discovery and target identification. Meaningful contributions to open-source libraries, research codebases, or community-driven tools. Working Location & Compensation: This is an office-based, hybrid role in either our Salt Lake City, UT or New York City, NY offices. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $200,600 - $238,400. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. #LI-DNI The Values We Hope You Share: We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at ****************** or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.$200.6k-238.4k yearly Auto-Apply 31d ago
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