Data Science Internship jobs at Merck

The Future Talent Program features internships that last up to 12 weeks and will include one or more projects. These opportunities in our Research and Development Division can provide you with great development and a chance to see if we are the right company for your long-term goals. Our Company is a global health care leader with a diversified portfolio of prescription medicines, vaccines, and animal health products. Our Company is on the quest for cures and is committed to being the world's premier, most research-intensive biopharmaceutical company. Today we're doubling down on this goal. Our Company Research Laboratories are a true scientific research facility of tomorrow and will take our company leading discovery capabilities and world-class small molecule, biologics, and vaccine Research and Development expertise to create breakthrough science that radically changes the way we approach serious diseases. A summer research internship position is available in the Regulated PK/ADA Bioanalytical group within the Pharmacokinetics, Dynamics, Metabolism, and Bioanalytics (PDMB) function of Our company Research Laboratories in West Point, Pennsylvania. The Regulated Bioanalytical (RegBA) group is a center of excellence for developing, optimizing, and validating assays to support preclinical and clinical testing, contributing to the last mile of drug discovery and development across small molecule, biologics, and vaccine modalities. This research internship will last up to 12 weeks at our West Point, PA site. The intern's project will focus on exploring and evaluating internally available artificial intelligence (AI)/machine learning (ML) tools that can streamline the handling of sample and assay data for visualization and insight generation. The goal of this work is to enhance efficiency in regulated bioanalytical workflows, enabling faster, accurate, and more informed decisions that could impact patient outcomes. In addition, the intern will get exposure to a regulated environment for clinical sample testing and gain valuable industry experience. They will be able to develop technical and communication skills while contributing to real-world projects, preparing them for future roles in pharmaceutical research as bioanalytical scientists or data scientists. The intern will also have opportunities to participate in various special events/programs for summer interns to explore their future career interests and learn about drug discovery and development at our company. Key Responsibilities will Include: Gain familiarity with regulated clinical sample testing workflows. Explore and evaluate AI/ML tools to streamline the handling of sample and assay data for visualization and insight generation. Present findings and conduct informal training sessions to support team adoption of AI-enhanced practices. Collaborate with scientists and data analysts to understand current challenges and co-develop AI-driven solutions. Education Candidates must be currently pursuing a B.A./B.S. in computer science, data science, statistics, or related discipline. Candidates must be enrolled full-time in the Fall Semester at an accredited university/college after the completion of the internship. Candidates must have completed at least 2 years of study toward a Bachelor's degree. Required Experience and Skills: Candidates must be able to complete a 10-12 consecutive week internship between May and August of 2026. Candidates must be able to work independently and in a team environment. Candidates must have strong verbal and written communication skills, presentation skills, and interpersonal skills. Candidates must have proficiency with MS Office Suite. Preferred Experience and Skills: Candidates should have prior experience and knowledge in leveraging or developing AI/ML tools. Candidate should have familiarity with scripting languages (Python, R, or equivalent). Candidates should have experience in visualizing, analyzing, and interpreting large data sets, for example, in .csv/Excel. Candidates should be efficient, organized, and able to handle short timelines in a fast-paced environment. Candidates should have critical thinking, ability to identify issues and seek solutions. Please note that this position may be closed before the posted end date or may remain open longer, at the discretion of the company. Under New York City, Colorado State, Washington State, and California State law, the Company is required to provide a reasonable estimate of the salary range for this job. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate's relevant skills, experience, and education. Salary range: The salary range for this role is $39,600.00-$105,500.00 USD FTP2026 RL2026 Required Skills: Preferred Skills: Current Employees apply HERE Current Contingent Workers apply HERE US and Puerto Rico Residents Only: Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process. As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights EEOC GINA Supplement We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively. Learn more about your rights, including under California, Colorado and other US State Acts U.S. Hybrid Work Model Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”. San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Intern/Co-op (Fixed Term) Relocation: No relocation VISA Sponsorship: No Travel Requirements: No Travel Required Flexible Work Arrangements: Not Applicable Shift: Not Indicated Valid Driving License: No Hazardous Material(s): Yes Job Posting End Date: 11/21/2025 *A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

The Future Talent Program features internships that last up to 12 weeks and will include one or more projects. These opportunities in our Research and Development Division can provide you with great development and a chance to see if we are the right company for your long-term goals. Our company is on a quest for cures and is committed to being the world's premier, most research-intensive biopharmaceutical company. Today, we're doubling down on this goal. Our company Research Laboratories is a true scientific research facility of tomorrow and will take our company leading discovery capabilities and world-class small molecule and biologics R&D expertise to create breakthrough science that radically changes the way we approach serious diseases. Our company Research Lab's Outsourcing group within the Translational Sciences and Outsourcing (TSO) department provides oversight for all discovery and development work supported by external Contract Research Organizations (CROs). We are seeking a summer intern to collaborate with us on a project focused on automating the organization and evaluation of pharmacokinetic and immunogenicity data to facilitate anomaly detection in support of early clinical assessment processes. Learning Opportunities • Gain experience collaborating with bioanalysis, research, statistics, and data sciences teams. • Learn and implement automated tools and statistical evaluations. • Handle large clinical data sets and develop graphical representations for data analysis. • Acquire in-depth knowledge of PK and ADA assays, bioanalysis and drug development processes, including clinical trial support. • Develop soft skills through cross-functional collaboration and potential interaction with CROs. • Opportunity to author a poster for internal presentation and possibly external conferences or papers. Location West Point, PA, Rahway, NJ or Remote Education Candidates must be currently enrolled undergraduate junior or senior students pursuing a Bachelor's degree in life sciences, such as biochemistry, molecular biology, pharmacology, or related discipline. Coursework or minors in data science, bioinformatics, statistics, or computer science are especially beneficial. Required Experience and Skills Candidates must be available to work full-time for up to 12 consecutive weeks beginning in May or June of 2026. Candidates must have working knowledge of data visualization tools. Candidates must have the ability to automate tasks in Excel or other data processing environments. Candidates must have strong analytical thinking, including managing and interpreting large datasets, identifying anomalies, and synthesizing findings into actionable insights. Candidates must have excellent written and verbal communication skills. Candidates must have ability to collaborate cross-functionally with scientists, statisticians, and external partners. Candidates must have initiative and curiosity, with a passion for innovation, problem-solving, and continuous learning. Preferred Experience and Skills Candidates should have technical proficiency in statistical analysis software (e.g., R, Python, SAS) Candidates should have experience with merging large datasets. Candidates should have the ability to learn quickly and collaborate across functions. Candidates should have experience or exposure to bioanalytical techniques, including pharmacokinetics (PK), anti-drug antibody (ADA) assays, or general laboratory methods. Candidates should have practical experience from coursework, research, or internships involving clinical or laboratory data. Candidates should have experience or exposure to bioanalytical techniques, including pharmacokinetics (PK), anti-drug antibody (ADA) assays, or general laboratory methods. Candidates should have a GPA of 3.0 or higher. Please note that this position may be closed before the posted end date or may remain open longer, at the discretion of the company. Under New York City, Colorado State, Washington State, and California State law, the Company is required to provide a reasonable estimate of the salary range for this job. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate's relevant skills, experience, and education. Salary range: The salary range for this role is $39,600.00-$105,500.00 USD FTP2026 RL2026 Required Skills: Assay, Assay, Cell-Based Assays, Clinical Research, Clinical Testing, Cloud Data Catalog, Computer Science, Data Analysis, Database Management, Data Science, Data Security, Data Visualization, Data Wrangling, Detail-Oriented, Drug Development, Event Planning, Key Performance Indicators (KPI), Life Science, Pharmacodynamics, Pharmacokinetics, Pharmacology, Pharmacotherapy, Project Management, Python (Programming Language), SAS System {+ 2 more} Preferred Skills: Current Employees apply HERE Current Contingent Workers apply HERE US and Puerto Rico Residents Only: Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process. As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights EEOC GINA Supplement We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively. Learn more about your rights, including under California, Colorado and other US State Acts U.S. Hybrid Work Model Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”. San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Intern/Co-op (Fixed Term) Relocation: No relocation VISA Sponsorship: No Travel Requirements: No Travel Required Flexible Work Arrangements: Hybrid Shift: Not Indicated Valid Driving License: No Hazardous Material(s): Yes Job Posting End Date: 11/21/2025 *A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

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

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.

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 Takeda is a global, values-based, R&D-driven, top 10 biopharmaceutical leader committed to discover and deliver life-transforming treatments, guided by our commitment to patients, our people and the planet. Our Data and Quantitative Sciences (DQS) is made up of more than 250 quantitative scientists who harness the insight of data and digital to speed the development of highly innovative treatments to patients. These scientists (from statistics, programming, outcomes research and epidemiology, quantitative clinical pharmacology, digital strategy, library sciences and data architecture/governance) bring their expertise to our global program teams and re-imagine our disciplines. They work with novel data streams, including real-world data and digital tools, and apply advanced analytics including artificial intelligence and automation. As part of DQS, the Statistics and Quantitative Sciences (SQS) at Takeda is looking to add individuals to our team that are team oriented, collaborative, strong understanding of the statistics function, exceptional leaders and innovators. SQS aspires to bring safe and effective medications to the patients with our quantitative skills. We design efficient trials, contribute to clinical development strategies, perform high quality statistical analyses, and pursue operational excellence. How You Will Contribute: As an Intern, you will have the opportunity to * Conduct literature reviews and contribute to the prediction model development using various statistical methodologies. * Perform data analysis using SAS, R or python. * Support internal activities like team meetings in preparation of key program activities. * Use of AI enabled tools for efficiency in documents process. * Communicate findings and results effectively with cross-functional teams through written reports and oral presentations. Internship Development Opportunities: * Gain hands-on experience in applying statistical methodologies to drug development and clinical trial analyses * Develop an understanding of regulatory and compliance standards, including how regulatory guidelines influence statistical analyses in clinical trials. * Strengthen project and time management by contributing projects with defined timelines, deliverables and cross-functional collaborations. * Learn to apply machine-learning and predictive modeling techniques to support future study design and planning. * Enhance ability to communicate and justify statistical approaches when addressing questions from cross-functionals. Job Requirements: * This position will be Hybrid and require 2-3 days in the Cambridge office per week. * Must be pursuing a PhD in Biostatistics. * Strong understanding of machine learning concepts and their applications. * Experience in applying machine-learning methods to predict treatment outcome. based on baseline characteristics and selected post baseline biomarkers. * Familiarity with statistical techniques of model development and parameter tuning. * Proficiency in SAS and R programming languages for data manipulation and statistical analysis. Python experience is a plus. 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 20th-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: 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.

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 Takeda is a global, values-based, R&D-driven, top 10 biopharmaceutical leader committed to discover and deliver life-transforming treatments, guided by our commitment to patients, our people and the planet. Our Data and Quantitative Sciences (DQS) is made up of more than 250 quantitative scientists who harness the insight of data and digital to speed the development of highly innovative treatments to patients. These scientists (from statistics, programming, outcomes research and epidemiology, quantitative clinical pharmacology, digital strategy, library sciences and data architecture/governance) bring their expertise to our global program teams and re-imagine our disciplines. They work with novel data streams, including real-world data and digital tools, and apply advanced analytics including artificial intelligence and automation. As part of DQS, the Statistics and Quantitative Sciences (SQS) at Takeda is looking to add individuals to our team that are team oriented, collaborative, strong understanding of the statistics function, exceptional leaders and innovators. SQS aspires to bring safe and effective medications to the patients with our quantitative skills. We design efficient trials, contribute to clinical development strategies, perform high quality statistical analyses, and pursue operational excellence. How You Will Contribute: As an Intern, you will have the opportunity to Conduct literature reviews and contribute to the prediction model development using various statistical methodologies. Perform data analysis using SAS, R or python. Support internal activities like team meetings in preparation of key program activities. Use of AI enabled tools for efficiency in documents process. Communicate findings and results effectively with cross-functional teams through written reports and oral presentations. Internship Development Opportunities: Gain hands-on experience in applying statistical methodologies to drug development and clinical trial analyses Develop an understanding of regulatory and compliance standards, including how regulatory guidelines influence statistical analyses in clinical trials. Strengthen project and time management by contributing projects with defined timelines, deliverables and cross-functional collaborations. Learn to apply machine-learning and predictive modeling techniques to support future study design and planning. Enhance ability to communicate and justify statistical approaches when addressing questions from cross-functionals. Job Requirements: This position will be Hybrid and require 2-3 days in the Cambridge office per week. Must be pursuing a PhD in Biostatistics. Strong understanding of machine learning concepts and their applications. Experience in applying machine-learning methods to predict treatment outcome. based on baseline characteristics and selected post baseline biomarkers. Familiarity with statistical techniques of model development and parameter tuning. Proficiency in SAS and R programming languages for data manipulation and statistical analysis. Python experience is a plus. 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 20th-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: 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. LocationsBoston, MAWorker 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.

**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 (************************************************

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 $43,000 - $110,000 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

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 GenAI Data Science Internship Overview: You will be part of a growing and dynamic Advanced Intelligence (AI) team whose main goal is to develop Generative AI solutions or methods to support business goals through out Lilly. Responsibilities: Partner with business teams to identify, scope, and execute Generative AI efforts that answer business questions, solve business needs, and add business value Maintain a broad understanding of business needs to be fully engaged with business teams, bringing an objective voice to the table, and facilitating decisions grounded in data Collaborate with other GenAI team members to review and provide feedback on the GenAI work being done, and be willing to seek feedback from other team members about your own work Stay current with respect to Generative AI methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected Lilly internships last for 12 continuous weeks beginning in May or June. Each intern will be assigned a project affording the opportunity to actively contribute to the organization and build a comprehensive understanding of the pharmaceutical industry. Professional development and social events will be held throughout the summer. At the conclusion, each intern will present their project highlights, findings, recommendations, and general internship accomplishments to senior leaders and stakeholders. Requirements: Currently enrolled in and attending school. PhD student with at least three years of completed graduate work in Computer Science, Computer Engineering, Information Sciences, or closely related field. Expected graduation by August 2027 Desired Experience: Deep and broad knowledge of Machine Learning and Generative AI methods and tools Deep understanding of NLP techniques and systems Proficiency with Python 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 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 $43,000 - $110,000 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

The Future Talent Program features internships that last up to 12 weeks and will include one or more projects. These opportunities in our Research Division can provide you with great development and a chance to see if we are the right company for your long-term goals. We are seeking an intern to join our Data Rich Experimentation (DRE) organization within Process Research & Developing Enabling Technologies (PR&D ET) located in either Rahway, NJ or West Point, PA. Primary Responsibilities: In this role, the chosen candidate will work with a team of scientists tasked with identifying, developing, and deploying data-rich technologies aimed at improving the manner in which process understanding is gathered. The tools that we develop are as diverse as the team developing them, and in this intern role, the chosen candidate will leverage data-dense scientific approaches to enable our process research and development efforts across our Company's small molecule, biologics, and vaccines portfolio. Our DRE organization is responsible for the invention and application of new data-rich and digital tools to support the scientists across process research and development at our Company. We aspire to embed data-intensive technologies into the fabric of our Company's process development culture. This intern role is a scientific position tasked with helping solve complex process research and development challenges in an interdisciplinary, collaborative environment via invention, development, and application of cutting-edge tools. Our current areas of interest include high-throughput experimentation, bench-top automation, process modeling and simulation, kinetics and mechanism elucidation, process analytical technologies (PAT), machine learning and data science, digital tools, catalyst and ligand screening, and other process enabling technologies. Ultimately, using data-rich and digitally-fluent methodologies, we aim to elucidate a deeper understanding of our processes across diverse medicines and vaccines. In addition to a passion for data-rich experimentation, the chosen candidate should have excellent interpersonal, communication, and collaboration skills. The chosen candidate should embrace and model our core values of diversity and inclusion, including fostering a supportive culture where all can thrive. The chosen candidate should be able to effectively collaborate in a dynamic, integrated, and multidisciplinary team environment. The chosen candidate should demonstrate a clear ability to learn and perform scientific research in a team-oriented manner that builds trusted partnerships across vast stakeholder networks. The chosen candidate should have willingness to learn how to publish and present research, including interacting with the broader academic community. The chosen candidate will join a diverse group of scientific problem solvers who are dedicated to creating the life-changing medicines and vaccines of tomorrow. Education Requirements: Must be currently enrolled in a BS, MS, or PhD program in Chemistry, Biochemistry, Engineering, Data Science, Computer Science, Mathematics, Physics, Biology, Pharmaceutical Sciences, or a closely-related field and will be returning to school after completion of the internship (unless the internship is a requirement for their degree) Must be authorized to work in the United States Must have availability to complete a 10-12 week full-time internship experience at our Company, beginning in June 2026. Required Experience and Skills: Candidate must be highly-motivated and technology-centric scientist. Candidate must be passionate about modernizing our Company's process development practices across biologics, vaccines, and small molecule modalities. Candidate must have the ability to work collaboratively in a multidisciplinary team environment. Candidate must have the ability to learn new skills and technologies under compressed timelines. Candidate must have the ability to work in a team environment with cross-functional interactions. Preferred Experience and Skills: Candidate should be motivated to learn new skills, willingness to take on new challenges, and scientific curiosity. Candidate should have experience demonstrating scientific ability through publications and presentations in scientific conferences. Candidate should have excellent communication skills, demonstrated creativity, and effective interpersonal skills. Candidate should have the ability to deliver complex solutions in a dynamic environment. Candidate should have collaborative research efforts that are praised by the broader scientific community and are exemplary of a multidisciplinary group. Candidate should have evidence of cross-functional collaboration. To learn more about the PRD team, click: Join Our Process Research & Development Team Please note that this position may be closed before the posted end date or may remain open longer, at the discretion of the company. Salary range: The salary range for this role is $39,600.00-$105,500.00 USD FTP2026 RL2026 PRD Required Skills: Preferred Skills: Current Employees apply HERE Current Contingent Workers apply HERE US and Puerto Rico Residents Only: Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process. As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights EEOC GINA Supplement We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively. Learn more about your rights, including under California, Colorado and other US State Acts U.S. Hybrid Work Model Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”. San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Intern/Co-op (Fixed Term) Relocation: No relocation VISA Sponsorship: No Travel Requirements: No Travel Required Flexible Work Arrangements: Not Applicable Shift: 1st - Day Valid Driving License: No Hazardous Material(s): n/a Job Posting End Date: 11/3/2025 *A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Join a Legacy of Innovation 125 Years and Counting! Daiichi Sankyo Group is dedicated to the creation and supply of innovative pharmaceutical therapies to improve standards of care and address diversified, unmet medical needs of people globally by leveraging our world-class science and technology. With more than 125 years of scientific expertise and a presence in more than 20 countries, Daiichi Sankyo and its 18,000 employees around the world draw upon a rich legacy of innovation and a robust pipeline of promising new medicines to help people. In addition to a strong portfolio of medicines for cardiovascular diseases, under the Group's 2025 Vision to become a "Global Pharma Innovator with Competitive Advantage in Oncology," Daiichi Sankyo is primarily focused on providing novel therapies in oncology, as well as other research areas centered around rare diseases and immune disorders. We are currently seeking a Translational Science Intern from June 2026 - May 2027. This part-time position works for approximately 20 hours per week. Responsibilities: Project Title: Multimodal foundation models for integrating diverse biological data The intern will use a multimodal AI framework to integrate and interpret diverse biological data, such as DNA sequencing, bulk RNA sequencing, single-cell multi-omics and imaging. The core objective is to use pretrained vast and diverse biological datasets to generate a holistic understanding of cellular states, gene regulation, and tissue architecture. We will demonstrate the utility of these models by applying them to a complex biomedical challenge, such as identifying novel biomarkers for cancer treatment. The project will address limitations of unimodal approaches, including noise sensitivity and incomplete biological context, by leveraging complementary and supplementary information across modalities. The models will incorporate interpretability methods to provide biological insights, foster new hypothesis generation, and accelerate biomarker discovery. The focus is on technology evaluation and development to explore the latest methods out there and not limited to autoencoder, foundation model/transformer and graph neural network (GNN). In scope is the comparison with other conventional approaches for predictive biomarker discovery and patient subgrouping tasks. Goals and Deliverables The intern will be responsible for the following: 1. Literature Survey and Method Curation * Conduct a structured review of recent ML/AI methods (published within the past 2-3 years) focused on biomarker discovery, subgroup and clinical efficacy prediction. * Categorize methods by approach (e.g., deep learning, ensemble learning, survival analysis, multi-omics integration) and application area. 2. Prototype Implementation and Benchmarking * Implement selected methods using internal or publicly available clinical datasets (e.g., TCGA, CPTAC). * Compare performance using standard metrics (e.g., AUROC, concordance index, time-to-event analysis). 3. Pipeline Development * Wrap up the development as a deployable package with easy-to-use configurable command line interfacing or notebook and provide user documentation. * Ensure compatibility with internal data structures and analysis frameworks. 4. Reporting and Knowledge Transfer * Deliver a final report and presentation summarizing findings, learnings, recommendations, and reproducible code. Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Salary Range: $17.23 - $58.15 Download Our Benefits Summary PDF

Job Description Summer 2026 Internship Opportunity - Data Scientist Intern Are you ready to turn data into decisions? CAPITAL Services is excited to offer a Data Scientist Internship for Summer 2026! This is a fantastic opportunity to gain hands-on experience in a dynamic, data-driven environment where your insights can make a real impact. As a Data Scientist Intern, you'll work closely with our talented Decision Intelligence Analysts and Data Scientists on meaningful projects in the following areas: Risk Analysis Model and Strategy Development Model Validation MIS Reporting Throughout the paid 12-week program (beginning May 2026), you'll receive a variety of training opportunities to strengthen your skills in statistical analysis and business intelligence. This internship is onsite in Sioux Falls, SD, offering you the chance to collaborate directly with our team and experience our company culture firsthand. Qualifications: Junior level or higher in Mathematics, Data Science, Statistics, or a related discipline Minimum 3.0 GPA Strong attention to detail and self-motivation Excellent verbal and written communication skills Authorized to work in the United States on a permanent basis Preferred Skills: Familiarity with tools such as R, SQL, or SAS Interest in pursuing graduate studies in statistics or a related field Successful completion of an analytics or data-focused project Why Join CAPITAL Services? Work on real-world challenges with measurable impact Learn from experienced professionals in a supportive environment Build your resume with meaningful experience in data science Explore future career opportunities within our organization At CAPITAL, we are committed to connecting people with convenient purchasing power for life's needs. We value using data to make strategic decisions that drive our business forward. This unique approach is what sets us apart and enables us to better serve our employees, customers and clients each day. Are you looking for a company who strategically uses data in all aspects of their business? We invite you to apply by clicking on the on the apply button above and using the navigational buttons to complete the application process.

Data Analyst Department: Client Operations Reports to: EVP, HUB Operations FLSA: Exempt The Corporate office operating hours are Monday through Friday 8:30 am - 5:00 pm EST. Primary Function: The incumbent is responsible for the data outreach, data capture/loading, and data reporting per specific program requirements. Job Scope and Major Responsibilities: Reach out to member pharmacies to gather missing data, clarify data inconsistencies, and offer technical assistance/expertise if necessary Identify, investigate, and resolve data anomalies using SQL or other statistical analysis software Ensure that Asembia's data reports meet program requirements and are delivered in a timely manner by making necessary changes to improve data accuracy Process daily/monthly/quarterly master data functions as assigned Provide ad hoc data analysis to internal and external parties as requested Append pharmacy data reports to the Asembia database using applicable data rules to ensure quality of input through various stages of the data-loading process. Communicate findings of data investigations and manage expectations for internal and external stakeholders The timely submission of accurate data to appropriate parties. Maintaining a high level of customer service for Asembia's customers - manufacturers and members' pharmacies. Successful collaboration with other Asembia team members to attain a common goal. Attendance and schedule adherence is critical. Adhering to company policies and procedures. Possess a professional demeanor, focused on respectful communication, a positive and reliable attitude, and responsible behavior. This includes dressing appropriately, being punctual, maintaining composure, and demonstrating accountability for your actions. Working outside of core business hours may be required. Other duties as assigned. Compliance with the provisions of the Health Insurance Portability and Accountability Act of 1996 and its implementing regulations, as amended (“HIPAA”). Qualifications: Bachelor's Degree required. B.A./B.S. Information Systems or similar field preferred. Minimum 2 years of experience working with pharmaceutical data in a team-driven environment Advanced Excel skills (building Macros, pivot tables & pivot charts, writing formulas, etc.). Proven track record with taking ownership of data investigations and seeing them through to resolution, preferably using SQL or other statistical analysis. The candidate must have client-facing experience and be able to articulate themselves clearly and concisely in their verbal and written communications. Excellent presentation and collaboration skills. Reliable and consistent attendance and schedule adherence is required. Asembia is committed to Equal Employment Opportunity (EEO) and to compliance with all Federal, State and local laws that prohibit employment discrimination on the basis of race, color, age, natural origin, ethnicity, religion, gender, pregnancy, marital status, sexual orientation, gender identity and expression, citizenship, genetic disposition, disability or veteran's status or any other classification protected by State/Federal laws .

Red Rock Government Services is a leading software engineering company recognized for its exceptional support to the intelligence community. With a proven track record of delivering innovative and mission-critical solutions, Red Rock specializes in developing secure, scalable, and cutting-edge technologies tailored to meet the complex needs of intelligence operations. The company's expertise in advanced analytics, cloud computing, and artificial intelligence enables it to empower agencies with enhanced decision-making capabilities and operational efficiency. Red Rock's commitment to excellence, agility, and collaboration solidifies its reputation as a trusted partner in safeguarding national security and advancing intelligence objectives. This position requires a current and active TS/SCI with Full Scope Polygraph security clearance. This position does not have the ability to sponsor candidates for clearance processing. RedRock is seeking a Data Scientist to join our team of diverse and qualified professionals. The role focuses on supporting the Sponsor's mission by delivering advanced language training to ensure proficiency across a broad spectrum of languages for the Sponsor's employees. Responsibilities: Works closely with the Sponsor to gather requirements and advise on AWS infrastructure design, development, and deployment of Cloud resources. Designs, tests, and implements log aggregation in support of Cloud and AWS systems. Designs, tests, and implements search and visualization infrastructure in support of AWS systems. Works with vendors to develop and deploy Cloud based solutions to the learning environment in AWS. Acts as a liaison between the Customer and Vendor Contacts to troubleshoot AWS when deploying new resources. Recommends new technologies for use in the cloud environment (AWS). Communicates IT requirements between management and technical entities. Qualifications: Experience in risk management and ability to identify project risks and facilitate the development and implementation of mitigation strategies Experience implementing and integrating AWS solutions. Experience in gathering requirements from vendor contacts and customers. Experience using Linux in the AWS environment. Experience with scripting and web programming technologies required to support web-based learning systems, such as PHP, PERL, Java, Jscript, or PowerShell. Experience deploying third party software products. Experience with Software Configuration Management (SCCM). Experience working with desktop and network hardware. Location: Herndon, VA Pay and Benefits: Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Paid Leave and Retirement. Commitment to Diversity: All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

Job Description Red Rock Government Services is a leading software engineering company recognized for its exceptional support to the intelligence community. With a proven track record of delivering innovative and mission-critical solutions, Red Rock specializes in developing secure, scalable, and cutting-edge technologies tailored to meet the complex needs of intelligence operations. The company's expertise in advanced analytics, cloud computing, and artificial intelligence enables it to empower agencies with enhanced decision-making capabilities and operational efficiency. Red Rock's commitment to excellence, agility, and collaboration solidifies its reputation as a trusted partner in safeguarding national security and advancing intelligence objectives. This position requires a current and active TS/SCI with Full Scope Polygraph security clearance. This position does not have the ability to sponsor candidates for clearance processing. RedRock is seeking a Data Scientist to join our team of diverse and qualified professionals. The role focuses on supporting the Sponsor's mission by delivering advanced language training to ensure proficiency across a broad spectrum of languages for the Sponsor's employees. Responsibilities: Works closely with the Sponsor to gather requirements and advise on AWS infrastructure design, development, and deployment of Cloud resources. Designs, tests, and implements log aggregation in support of Cloud and AWS systems. Designs, tests, and implements search and visualization infrastructure in support of AWS systems. Works with vendors to develop and deploy Cloud based solutions to the learning environment in AWS. Acts as a liaison between the Customer and Vendor Contacts to troubleshoot AWS when deploying new resources. Recommends new technologies for use in the cloud environment (AWS). Communicates IT requirements between management and technical entities. Qualifications: Experience in risk management and ability to identify project risks and facilitate the development and implementation of mitigation strategies Experience implementing and integrating AWS solutions. Experience in gathering requirements from vendor contacts and customers. Experience using Linux in the AWS environment. Experience with scripting and web programming technologies required to support web-based learning systems, such as PHP, PERL, Java, Jscript, or PowerShell. Experience deploying third party software products. Experience with Software Configuration Management (SCCM). Experience working with desktop and network hardware. Location: Herndon, VA Pay and Benefits: Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Paid Leave and Retirement. Commitment to Diversity: All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

Join a Legacy of Innovation 125 Years and Counting! Daiichi Sankyo Group is dedicated to the creation and supply of innovative pharmaceutical therapies to improve standards of care and address diversified, unmet medical needs of people globally by leveraging our world-class science and technology. With more than 125 years of scientific expertise and a presence in more than 20 countries, Daiichi Sankyo and its 18,000 employees around the world draw upon a rich legacy of innovation and a robust pipeline of promising new medicines to help people. In addition to a strong portfolio of medicines for cardiovascular diseases, under the Group's 2025 Vision to become a “Global Pharma Innovator with Competitive Advantage in Oncology,” Daiichi Sankyo is primarily focused on providing novel therapies in oncology, as well as other research areas centered around rare diseases and immune disorders. We are currently seeking a Precision Medicine, Biological Data Intern from June 2026 - May 2027. This part-time position works for approximately 20 hours per week. Responsibilities: Project: Integrated Knowledgebase for Genomics Insights into Topoisomerase I inhibitor-Based Antibody-Drug Conjugates (ADCs) Antibody-drug conjugates (ADCs) using topoisomerase I inhibitor payloads (DXd series) have demonstrated significant clinical success across multiple tumor types. However, diverse and multifaceted mechanisms of resistance contribute to heterogenous patient responses. These resistance mechanisms include (i) antigen loss (ii) reduced internalization (iii) increased clearance of payload (iv) alterations in payload target and (v) upregulation of anti-apoptotic proteins. Understanding of resistance mechanisms that affect each step of ADC MoA is crucial to stratify patient populations with a better clinical outcome and identify rational combination strategies to overcome resistance. We propose to develop an Integrated ADC Genomics Knowledgebase that systematically aggregates, curates, and harmonizes experimental findings from multi-omics studies and CRISPR screens spanning distinct ADC MoA steps. This centralized resource will accelerate hypothesis generation, biomarker discovery, and cross-program learning within the ADC portfolio. Scientific Scope The knowledgebase will focus on topoisomerase I inhibitor payload ADCs and organize findings according to key mechanistic stages of ADC action Data Sources and Integration The resource will integrate data from both public and internal sources using standardized identifiers and metadata fields. Data Sources • Public databases: DepMap, CCLE, GEO, ArrayExpress, PubMed • Internal datasets: preclinical ADC and biomarker studies • Literature-derived results via NLP-based text mining Integration workflow • Data Search: Create comprehensive list of relevant studies and datasets • Data Processing and Curation: Develop processing pipelines for omics data and standardize metadata. • Knowledge Integration: Create relational schema linking genes, pathways, functional assays, resources etc. • Meta analysis: Identify consistent signatures associated with sensitivity or resistance • Data Visualization: Build interactive dashboards (Shiny/Streamlit) for visualization and analytics. Expected Outcomes Centralized resource for ADC mechanism, cross-program learning, biomarker hypothesis identification or validation. Responsibilities • Aggregate and analyze large-scale RNA-seq, CRISPR, and proteomics datasets relevant to ADC MoAs. • Conduct meta-analysis to identify consistent mechanisms across different studies and datatypes. • Collaborate with translational scientists to interpret biological insights and MoA connections. • Contribute to the creation of curated gene and pathway summaries for knowledgebase ingestion. Qualifications: • Enrolled in Ph.D. in Computational Biology, Bioinformatics, Systems Biology, or related field (2nd year onwards preferred). • Strong experience with R/Bioconductor. • Familiarity with public datasets (DepMap, CCLE, GEO, TCGA, MSigDB, Reactome). • Knowledge of multi-omics integration, enrichment analysis, and data harmonization. • Experience with oncology or ADC-related biology preferred. Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Salary Range: $17.23 - $58.15 Download Our Benefits Summary PDF

Join a Legacy of Innovation 125 Years and Counting! Daiichi Sankyo Group is dedicated to the creation and supply of innovative pharmaceutical therapies to improve standards of care and address diversified, unmet medical needs of people globally by leveraging our world-class science and technology. With more than 125 years of scientific expertise and a presence in more than 20 countries, Daiichi Sankyo and its 18,000 employees around the world draw upon a rich legacy of innovation and a robust pipeline of promising new medicines to help people. In addition to a strong portfolio of medicines for cardiovascular diseases, under the Group's 2025 Vision to become a "Global Pharma Innovator with Competitive Advantage in Oncology," Daiichi Sankyo is primarily focused on providing novel therapies in oncology, as well as other research areas centered around rare diseases and immune disorders. We are currently seeking a Precision Medicine, Biological Data Intern from June 2026 - May 2027. This part-time position works for approximately 20 hours per week. Responsibilities: Project: Integrated Knowledgebase for Genomics Insights into Topoisomerase I inhibitor-Based Antibody-Drug Conjugates (ADCs) Antibody-drug conjugates (ADCs) using topoisomerase I inhibitor payloads (DXd series) have demonstrated significant clinical success across multiple tumor types. However, diverse and multifaceted mechanisms of resistance contribute to heterogenous patient responses. These resistance mechanisms include (i) antigen loss (ii) reduced internalization (iii) increased clearance of payload (iv) alterations in payload target and (v) upregulation of anti-apoptotic proteins. Understanding of resistance mechanisms that affect each step of ADC MoA is crucial to stratify patient populations with a better clinical outcome and identify rational combination strategies to overcome resistance. We propose to develop an Integrated ADC Genomics Knowledgebase that systematically aggregates, curates, and harmonizes experimental findings from multi-omics studies and CRISPR screens spanning distinct ADC MoA steps. This centralized resource will accelerate hypothesis generation, biomarker discovery, and cross-program learning within the ADC portfolio. Scientific Scope The knowledgebase will focus on topoisomerase I inhibitor payload ADCs and organize findings according to key mechanistic stages of ADC action Data Sources and Integration The resource will integrate data from both public and internal sources using standardized identifiers and metadata fields. Data Sources * Public databases: DepMap, CCLE, GEO, ArrayExpress, PubMed * Internal datasets: preclinical ADC and biomarker studies * Literature-derived results via NLP-based text mining Integration workflow * Data Search: Create comprehensive list of relevant studies and datasets * Data Processing and Curation: Develop processing pipelines for omics data and standardize metadata. * Knowledge Integration: Create relational schema linking genes, pathways, functional assays, resources etc. * Meta analysis: Identify consistent signatures associated with sensitivity or resistance * Data Visualization: Build interactive dashboards (Shiny/Streamlit) for visualization and analytics. Expected Outcomes Centralized resource for ADC mechanism, cross-program learning, biomarker hypothesis identification or validation. Responsibilities * Aggregate and analyze large-scale RNA-seq, CRISPR, and proteomics datasets relevant to ADC MoAs. * Conduct meta-analysis to identify consistent mechanisms across different studies and datatypes. * Collaborate with translational scientists to interpret biological insights and MoA connections. * Contribute to the creation of curated gene and pathway summaries for knowledgebase ingestion. Qualifications: * Enrolled in Ph.D. in Computational Biology, Bioinformatics, Systems Biology, or related field (2nd year onwards preferred). * Strong experience with R/Bioconductor. * Familiarity with public datasets (DepMap, CCLE, GEO, TCGA, MSigDB, Reactome). * Knowledge of multi-omics integration, enrichment analysis, and data harmonization. * Experience with oncology or ADC-related biology preferred. Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Salary Range: $17.23 - $58.15 Download Our Benefits Summary PDF

The MABI team works directly with management and leadership across the organization to conceptualize, document, and produce impactful solutions to help answer key business questions and communicate insights. This is a highly impactful team which consistently has direct impacts on the bottom line of our business. The Systems Optimization Internship position within this team provides a unique opportunity for students who are currently pursuing a business, business technology, computer information systems, or analytics like degree to get hands on experience working directly with stakeholders to turn business needs into system solutions that impact employees across the company. Responsibilities * Collaborate with stakeholders to understand business needs and deliver meaningful analytics; * Work with stakeholders to document and gather requirements for enhancements and bugs within supported software systems; * Create, review, and carry out functional test script plans for software bugs and enhancements; * Gather, review and input data from a wide variety of sources across the organization; * Assist in the design and documentation of business processes and reporting structures; * Learn core business and operational concepts through hands-on experience in process improvement, development of critical thinking, and presentation skills; * Work under close supervision of other team members and Sr. analysts. Skills & Abilities: * Interest in the design and documentation of business processes and reporting structures; * Aptitude for quickly learning new technology and software, with ability to apply its use; * Familiarity with common programming languages (SQL, Python, Java, C#) preferred; * Interest in Microsoft Power Platform (Power Automate, Power Apps, Power BI) preferred; * Exceptional customer focus (internal business customers); * Solid communication skills, with ability and confidence to present to an audience of varied leadership levels; * Ability to work independently and as a member of a high performing cross-functional team; * Willingness to learn, be mentored, and improve. Qualifications * Ability to work office-based in Cincinnati, OH (part-time or full-time) from January-April 2026 (opportunity to stay on for multiple rotations is determined by performance and team need); * Pursuing a Bachelor's or Master's degree in Business, Life Science, Computer Science, or other related degree with emphasis (minor or experience) in Analytics. Medpace Overview Medpace is a full-service clinical contract research organization (CRO). We provide Phase I-IV clinical development services to the biotechnology, pharmaceutical and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through its scientific and disciplined approach. We leverage local regulatory and therapeutic expertise across all major areas including oncology, cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, employing more than 5,000 people across 40+ countries. Why Medpace? People. Purpose. Passion. Make a Difference Tomorrow. Join Us Today. The work we've done over the past 30+ years has positively impacted the lives of countless patients and families who face hundreds of diseases across all key therapeutic areas. The work we do today will improve the lives of people living with illness and disease in the future. Cincinnati Perks * Cincinnati Campus Overview * Flexible work environment * Competitive PTO packages, starting at 20+ days * Competitive compensation and benefits package * Company-sponsored employee appreciation events * Employee health and wellness initiatives * Community involvement with local nonprofit organizations * Discounts on local sports games, fitness gyms and attractions * Modern, ecofriendly campus with an on-site fitness center * Structured career paths with opportunities for professional growth * Discounted tuition for UC online programs Awards * Named a Top Workplace in 2024 by The Cincinnati Enquirer * Recognized by Forbes as one of America's Most Successful Midsize Companies in 2021, 2022, 2023 and 2024 * Continually recognized with CRO Leadership Awards from Life Science Leader magazine based on expertise, quality, capabilities, reliability, and compatibility What to Expect Next A Medpace team member will review your qualifications and, if interested, you will be contacted with details for next steps.

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. Internship Overview: The Advanced Intelligence (AI) team brings the power of data and advanced analytic capabilities such as artificial intelligence, machine learning, visual analytics, and predictive analytics to identify and solve high-value business questions. The AI team is actively seeking a visual data science research intern who will focus on the development and implementation of novel visual analytics solutions to support exploratory and impactful problems across Lilly's clinical research, commercial, or manufacturing services. This role requires creativity, curiosity, and strong collaboration skills to define and prototype visualization approaches that enhance data-driven decision-making in complex domains. Responsibilities: Conduct applied visualization research to explore new techniques, evaluate design approaches, and contribute to tools that support data exploration, decision-making, and storytelling for business and scientific users Develop custom visualizations using modern data visualization libraries (e.g., D3.js, Plotly, Vega, Observable) to convey complex insights clearly and effectively Build frontend-focused web applications (e.g., using React, Vue, or similar frameworks) that integrate interactive data visualizations and support user-driven exploration of data Design clean, intuitive user interfaces and user experiences that enhance usability and engagement with analytical products Share and present visual products and design rationale with stakeholders and team members, incorporating feedback iteratively Basic Qualifications: Pursuing a PhD or master's degree in computer science, data science, human-computer interaction, information visualization, or a related technical field Demonstrated experience designing and building interactive data visualizations using tools such as D3.js, Vega, Vega-Lite, Plotly, or similar libraries Proficient in web development, particularly frontend technologies such as HTML/CSS, JavaScript, React, or Vue, and able to build responsive, user-friendly interfaces Understanding of UI/UX principles and best practices for designing intuitive user experiences Additional Skills/Preferences: Completed graduate-level coursework or research in data visualization, machine learning, human-centered computing, or visual analytics Strong understanding of advanced visualization techniques, including force-directed layouts, network diagrams, and other graph-based algorithms Publication in a top-tier visualization or HCI conference or journal (e.g., IEEE VIS, ACM CHI, EuroVis) Experience with data science workflows, including data cleaning, transformation, analysis, and visualization in Python or R Proficient in building and integrating RESTful APIs to support interactive visual applications Experience working in cloud environments (e.g., AWS, Azure, GCP) and using version control tools like Git 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 $43,000 - $110,000 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