Senior Data Scientist jobs at Merck - 343 jobs

Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong at Astellas! Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at **************** . This position is based in Northbrook, Illinois. Hybrid work from certain states may be permitted in accordance with Astellas' Responsible Flexibility Guidelines. Candidates interested in hybrid work are encouraged to apply. **Purpose:** We are hiring an experienced real-world data scientist to join our Real-World Data Science (RWDS) team. As an Associate Director of RWDS, you will be an analytic researcher informing and conducting Real World Data (RWD) studies at any time in the drug lifecycle. You will work directly within the RWDS team to execute observational studies for internal and external consumption and partner closely with Development, Medical Affairs, and Pharmacovigilance/Pharmacoepidemiology colleagues in their research. Additionally, you will collaborate closely with others in RWDS, Biostatistics and the broader Quantitative Sciences & Evidence Generation department to enhance our RWD and analytics offerings. RWDS is multidisciplinary and provides RWE strategic input, study design, statistical and programming support to projects. Team members apply their unique knowledge, skills and experience in teams to deliver decision-shaping real-world evidence. **Essential Job Responsibilities:** + Provide best-in-class data science support to Astellas drug development programs & marketed products in relation to RWD + Design of observational studies (primary and/or secondary data) + Execute (program and analyze) observational studies using in-house RWD or oversee vendors or other RWDS staff in executing observational studies + Write, review, or contribute to key study documents to ensure optimal methodological & statistical presentation. These documents include, protocols, analysis plans, tables and figure (TLF) specifications, study reports, publications + Ensure efficient planning, execution and reporting of analyses + Advise as subject matter expert in specific data access partnerships + Represent the company on matters related to RWD analysis at meetings with regulatory authorities, key opinion leaders and similar experts/bodies as needed + Contributes to vendor selection with partner functions + Participate in the creation and upkeep of best practices, tools/macros, and standards related to methods, data and data analysis at Astellas + Collaborate with RWDS and Biostatistics colleagues and cross-functional teams in Development, Medical Affairs and Pharmacovigilance + Mentor and guide junior members of the RWD Analytics team **Qualifications Required:** + A doctorate or master's degree in statistics, data science, pharmacoepidemiology or a similar discipline + More than 6 years of pharmaceutical industry hands-on experience in design and execution of observational studies and analyzing RWD, including major EHR and claims databases from the US, UK, EU, and/or Japan + Experience in analyzing a diverse set of RWD study types (description, association, prediction, causation), including incidence & prevalence, treatment pattern, healthcare resource utilization, cost, outcomes, and effectiveness + Advanced and broad knowledge of statistical methods, along with understanding of industry practices & guidelines related to the analysis of RWD + Proficiency in SQL, and SAS or R required, with working knowledge of Python beneficial + Well-versed in data visualization, statistical analysis, and machine learning methodologies + Proficiency in non-interventional research design for primary data collection (i.e, prospective) as well as secondary use of data + Committed to seeking innovative methodology to generate data-driven insights + Experience working across geographies with globally distributed teams + Self-starting performer with the demonstrated capacity to operate both independently and collaboratively in a fast-paced, team-oriented setting + Excellent communication and collaboration, and experienced working in cross-functional teams. **Salary Range** + $141,400 - $222,200 (Final compensation will be determined based on a variety of factors, including but not limited to skills, experience and organizational equity considerations) **Working Environment:** + At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas' Responsible Flexibility Guidelines. **Benefits:** + Medical, Dental and Vision Insurance + Generous Paid Time Off options, including Vacation and Sick time, plus national holidays including year-end shut down + 401(k) match and annual company contribution + Company paid life insurance + Annual Corporate Bonus and Quarterly Sales Incentive for eligible positions + Long Term Incentive Plan for eligible positions + Company fleet vehicle for eligible positions + Referral bonus program \#LI-SS Category Quantitative Sciences & Evidence Generation Astellas is committed to equality of opportunity in all aspects of employment. EOE including Disability/Protected Veterans

Senior Scientist Data Science We are seeking a highly skilled data scientist specialized in modeling receptor interactions for molecule discovery. The candidate would join dsm-firmenich's Data Science Ingredient Modeling unit and work with a talented team of data scientists, chemists and biologists mapping our sense of taste. Our team is at the forefront of leveraging protein and molecular AI in taste receptor biology to uncover new possibilities in taste and health for our clients and their customers. This role offers the opportunity to drive interdisciplinary science projects that integrate the latest advances in computational biology, data science, AI and receptor science while working in close collaboration with leading domain experts. Your Key Responsibilities: * Use data science and AI to drive a fast-paced ingredient discovery pipeline that generates maximum value for dsm-firmenich's taste, texture and health segments. * Develop and implement accurate Machine Learning and protein AI models of receptor-ligand interactions to drive receptor science using deep structural biology knowledge. * Perform in silico screening, docking analyses and energy calculations. * Contribute to the development and adoption of best practices and common computational tools by our global community of data scientists and scientists. * Stay up to date on the latest advancements in computational biology, protein and molecular AI and modeling approaches. * Apply modern software development and machine learning tools and practices in your daily work, including a high level of proficiency in python. Familiarity with good use of coding agents preferred. * Team-up with other data scientists and life science experts around the globe to drive project success We Bring: * Opportunity to join a dynamic and thriving team applying Machine Learning and other modeling techniques to biology and chemistry. * Highly motivated, professional and committed multicultural and interdisciplinary team. * Opportunity to put your scientific skills into practice with innovations in health, nutrition and beauty. * Grow and develop your skills through our in-house training courses. * Being a part of company shaping a strong legacy heritage through industrial innovations and cutting-edge technology. * A commitment to science-based innovations with 2000 scientists and 700 MM annual S&R investments. You Bring: * Ph.D. or similar experience in Receptor Biology, Structural Biology, Computer Science, AI, or a related field. * 3-7 years of additional academic or industrial work experience in ingredients, or small molecule discovery, ideally in the chemosensory biology field. * Record of accomplishments demonstrating high drive and keen entrepreneurial innovation. * Strong skills in computational structural biology, virtual docking and molecular dynamics simulations, including hands-on experience with modern protein AI tools. * Deep understanding of structural and receptor biology, especially chemosensory receptors, including GPCRs and ion channels. * Proficiency in modern Machine Learning, python, good code management/version control such as Git, and working with CI/CD pipelines. Experience with AWS or Azure cloud computing environments is a plus. * Excellent problem-solving skills and proven ability to work both independently and collaboratively. * Effective communication and collaboration skills with the ability to convey complex concepts to non-experts. The salary or hourly wage scale provided reflects the pay range dsm-firmenich expects to pay the successful candidate for the position. Individual pay offered will be based on the applicant's job-related skills, experience, relevant education, or training, and primary work location. This position is also eligible for bonuses and benefits, which are not included in the pay scale provided. Salary $ 128,00-$183,000. About dsm-firmenich At dsm-firmenich, we don't just meet expectations - we go beyond them. Join our global team powered by science, creativity, and a shared purpose: to bring progress to life. From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions - every single day. Whether it's fragrance that helps you focus, alternative meat that's better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere. And while you're making a difference, we'll make sure you're growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They're essential to our future. Because real progress only happens when we go beyond, together. The application process Interested in this position? Please apply online by uploading your resume in English. Inclusion, belonging and equal opportunity statement At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work - and that's exactly the kind of culture we're building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong. We're proud to be an equal opportunity employer, and we're serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we're committed to reflecting the world we serve. We welcome candidates from all backgrounds - no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you. And if you have a disability or need any support through the application process, we're here to help - just let us know what you need, and we'll do everything we can to make it work. Agency statement We're managing this search directly at dsm-firmenich. If you're applying as an individual, we'd love to hear from you. We're not accepting agency submissions or proposals involving fees or commissions for this role

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 Senior Scientist role, the chosen candidate will leverage fundamental process modeling, machine learning, and other innovative data science approaches to enable our process research and development efforts across our Company's biologics and vaccines portfolio. Our DRE organization is responsible for the invention and application of new data-rich tools to support the scientists across process research and development at our Company. We aspire to embed data-intense technologies into the fabric of our Company's process development culture. This Senior Scientist role is a scientific position tasked with solving complex process research and development challenges in an interdisciplinary, collaborative environment via invention, development, and application of cutting-edge process modeling including novel deep neural network architectures and especially their combination with physics and theory through hybrid methods. Ultimately, through the development, application, and deployment of these capabilities across our multi-modality pipeline, we aim to elucidate a deeper understanding and optimization of our processes and drive enhanced decision making for improving the speed and quality of development for diverse medicines and vaccines. In this Senior Scientist role, the chosen candidate will combine process modeling and deep learning techniques to help advance process-focused scientific research. This includes, but is not limited to, developing mechanistic, hybrid, or data-driven models for chemical synthesis and isolation, cell culture, fermentation, biomolecule separations; working closely alongside pipeline project teams to extract impactful insights from experimental data for manufacturing process design; employing process models to accelerate and enhance laboratory development through ML-assisted optimal experiment design; applying physics-based and hybrid models to guide and de-risk scale-up/scale-down during technology transfer and commercialization; developing new hybrid machine learning frameworks based on customized deep learning architectures and their integration with physics-based models or structures; and collaborating with enterprise IT colleagues for the automated scaling, training, and serving of such models to an extensive process development organization. As such, the chosen candidate should have a robust background in machine learning with an emphasis on the intersection of modeling and manufacturing process development. In addition to a passion for computational process modeling and machine learning, 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 perform impactful scientific innovation in a team-oriented manner that builds trusted partnerships across vast stakeholder networks. The chosen candidate should have a demonstrated ability to publish and present research, including an established track record of interaction 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 Minimum Requirement: A Ph.D. in Engineering, Biology, Chemistry or a closely-related field A M.S. in Engineering, Biology, Chemistry or a closely-related field with at least 2 years of industrial/pharmaceutical experience A B.S. in in Engineering, Biology, Chemistry or a closely-related field with at least 4 years of industrial/pharmaceutical experience Required Experience and Skills: Background and experience in process modeling, scientific machine learning, deep learning, and technology deployment. Expertise in Python with hands-on experience in deep learning frameworks and libraries (PyTorch, JAX, TensorFlow, or similar). High motivation and enthusiasm for novel technology development; passion for modernizing chemical and bioprocess development practices. Excellent communication skills, demonstrated creativity, adaptive problem-solving, and effective interpersonal skills for delivering complex technical solutions in a dynamic cross-functional environment Demonstrated scientific expertise evidenced through impactful journal publications and/or conference presentations. Preferred Experience and Skills: Experience in developing novel process models for dynamical systems, process control, or digital twins for chemical or biological systems through physics-based, mechanistic, or hybrid model frameworks. Background in laboratory chemical or biochemical research, cell culture, or fermentation process design, development, or optimization and experience applying or developing new digital or data-rich technologies to extract insights from complex laboratory data Familiarity with MLOps practices and workflows (automated training, documentation and monitoring, deployment and integration) and ability to collaborate with IT stakeholders for technology deployment at scale. Experience in the new technology development and deployment with an understanding of technology adoption frameworks, including a successful track record of technology change management. 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”. The salary range for this role is $114,700.00 - $180,500.00 This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs. The successful candidate will be eligible for annual bonus and long-term incentive, if applicable. We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at ******************************************************* You can apply for this role through **************************** (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting. 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: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Hybrid Shift: Valid Driving License: Hazardous Material(s): Job Posting End Date: 01/16/2026 *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.

VIDA Diagnostics is a leading player in the field of medical imaging data analytics, dedicated to supporting cutting-edge medical research through advanced data-driven solutions. We are seeking a highly skilled Senior Data Scientist to lead our data discovery and experimentation design efforts in collaboration with internal and external partners. If you are passionate about accelerating scientific discovery through data-driven insights, we want to hear from you. This position can be flexible on location of candidate within the United States. Position Overview: As the Senior Data Scientist, you will play a crucial role in our dynamic team, responsible for designing, developing, and optimizing data platforms and algorithms that drive groundbreaking insights into the field of medical research. You will work in close collaboration with imaging analysts, scientists, data and software engineers to develop and implement data analysis solutions and that advance scientific knowledge and innovation. Key Responsibilities: Research Hypothesis Definition: Formulate and refine research hypotheses to extract meaningful insights from a vast medical imaging and measurements data lake. Data Exploration and Analysis: Conduct in-depth data exploration and analysis using advanced statistical techniques and machine learning algorithms. Model Development and Evaluation: Build, train, and evaluate state-of-the-art machine learning models, including deep learning architectures, to address specific research questions and clinical challenges. AI/ML Solution Development: Contribute to the development and evaluation of AI/ML solutions that have a significant impact on clinical trials with relevant metrics. Cloud Operations: Collaborate with cloud engineers to deploy and manage machine learning models in a scalable and efficient cloud environment. Mentorship and Collaboration: Provide guidance and mentorship to other scientists in the team and collaborate effectively with cross-functional teams. Required Qualifications: Bachelor's in Computer Science, Statistics, Data Science, or a related field. Proven expertise in Python programming, common machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience in conducting independent research and publishing scientific papers. Expertise in big data technologies, including Lakehouse architectures, Trino, Data Bricks Delta, efficient querying and distributed computing. Ability to analyze complex problems, identify solutions, and communicate findings effectively. Excellent interpersonal and communication skills to work effectively in a collaborative team environment. Preferred qualifications: Master's degree or Ph.D. in Computer Science, Statistics, Data Science, or a related field. A solid understanding of medical imaging and measurements data, including relevant clinical concepts and methodologies. Excellent knowledge of main branches of AI (GenAI, DL, ML, RL) Experience with Cloud infrastructures (AWS, GCP, Azure). Experience with Docker, Kubernetes, MLFlow and Argo. All VIDA employees expected to be flexible and have an entrepreneurial mindset. Other duties may be assigned as needed. VIDA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran's status, age or disability.

NJ onsite About Summit Summit Therapeutics Inc is a biopharmaceutical oncology company with a mission focused on improving quality of life increasing potential duration of life and resolving serious unmet medical needs At Summit we believe in building a team of world class professionals who are passionate about this mission and it is our people who drive this mission to reality Summits core values include integrity passion for excellence purposeful urgency collaboration and our commitment to people Our employees are truly the heart and soul of our culture and they are invaluable in shaping our journey toward excellence Summits team is inspired to touch and help change lives through Summits clinical studies in the field of oncology Summit has multiple global Phase 3 clinical studies including Non small Cell Lung Cancer NSCLC HARMONi Phase 3 clinical study which was intended to evaluate ivonescimab combined with chemotherapy compared to placebo plus chemotherapy in patients with EGFR mutated locally advanced or metastatic non squamous NSCLC who were previously treated with a 3rd generation EGFR TKI HARMONi 3 Phase 3 clinical study which is intended to evaluate ivonescimab combined with chemotherapy compared to pembrolizumab combined with chemotherapy in patients with first line metastatic NSCLC HARMONi 7 Phase 3 clinical study which is intended to evaluate ivonescimab monotherapy compared to pembrolizumab monotherapy in patients with first line metastatic NSCLC Colorectal Cancer CRC HARMONi GI3 Phase 3 clinical study intended to evaluate ivonescimab in combination with chemotherapy compared with bevacizumab plus chemotherapy Ivonescimab is an investigational therapy not presently approved by any regulatory authority other than Chinas National Medical Products Administration NMPA Summit is headquartered in Miami Florida and has additional offices in California New Jersey the UK and Ireland Overview of Role The Senior Manager Data Scientist role is part of the Commercial Operations team supporting the US Business Unitwhich includes but is not limited to Sales Marketing and Market Access This team enables key business functions and strategic initiatives through data integration reporting and advanced analytics This position provides a unique opportunity for broad exposure across the US commercial organization by contributing to the development of advanced analytics solutions A core focus of the role will involve executing analytics on a variety of data sourcesincluding patient claims EDI shipment data and unstructured datasetsas well as supporting future machine learning initiatives Role and Responsibilities Design and implement advanced analytical models eg predictive modeling segmentation optimization machine learning using diverse datasets such as claims outlet level sales data EDI hub data real world data RWD specialty pharmacydistributor data EMR and internal commercial datasets Develop and validate algorithms to identify patient journeys adherence patterns and treatment pathways Contribute to an evolving data science practice including problem framing data exploration and preparation data integration machine learning model development and production Create scoring frameworks eg HCP opportunity models payer access risk scores patient conversion likelihood Build statistical and machine learning models for both proof of concept and production environments using Python R and SQLPartner with stakeholders across the US commercial teams to translate business needs into data driven and machine learning solutions Communicate advantages limitations and implications of analytical approaches to non technical audiences Share technical insights and solutions through design reviews pair programming codemodel reviews and team knowledge sharing sessions Conduct exploratory analysis of new datasets generate descriptive statistics identify trends and insights and propose data engineering opportunities for integration Utilize one or more commercial or open source analysis platforms daily eg Jupyter Notebook RStudio Posit Microsoft Azure Neo4jAll other duties as assigned Experience Education and Specialized Knowledge and Skills Experience in biotech pharmaceuticals or life sciences required Bachelors degree in Data Science Computer Science Mathematics or a related field required; advanced degree preferred Minimum 5 years of relevant experience with a bachelors degree or 3 years with a masters degree contributing to or executing data science projects Industry experience in customer behavior prediction customer journey analytics marketing analytics or social network analysis is preferred Demonstrated proficiency in Python andor RStrong SQL skills with hands on experience working with relational databases; experience with graph databases and Cypher is a plus Familiarity with machine learning and statistical modeling techniques Strong communication and cross functional collaboration skills Experience developing solutions using text analytics customer journey analytics marketing analytics or recommendation engines Proven ability to explain statistical and machine learning concepts to business stakeholders in clear and meaningful terms Knowledge of statistical and data mining techniques such as hierarchical clustering network analysis regression random forests text mining NLP and data visualization The pay range for this role is 153000 180000 annually Actual compensation packages are based on several factors that are unique to each candidate including but not limited to skill set depth of experience certifications and specific work location This may be different in other locations due to differences in the cost of labor The total compensation package for this position may also include bonus stock benefits andor other applicable variable compensation Summit does not accept referrals from employment businesses andor employment agencies in respect of the vacancies posted on this site All employment businessesagencies are required to contact Summits Talent Acquisition team at recruitingsmmttxcom to obtain prior written authorization before referring any candidates to Summit

At AstraZeneca, we pride ourselves on crafting a collaborative culture that champions knowledge-sharing, ambitious thinking and innovation - ultimately providing employees with the opportunity to work across teams, functions and even the globe. Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week. Our head office and BlueSky Hub in downtown Toronto are purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects. Our dedication to sustainability is also central to our culture and part of what makes AstraZeneca a great place to work. We know the health of people, the planet and our business are interconnected which is why we're taking ambitious action to tackle some of the biggest challenges of our time, from climate change to access to healthcare and disease prevention. Join AstraZeneca's In vitro Discovery Platforms group within the Biologics Engineering department, where we are pushing the boundaries of science to deliver life-changing medicines. Our passion for discovery drives us to explore novel therapeutic approaches across various diseases, including Oncology, Respiratory, Inflammatory, Cardiovascular, and Infectious diseases. As part of our collaborative network, you will have the opportunity to engage with new and exciting technologies that are transforming patient care. As a key team member, you will plan and execute experiments focused on isolating, engineering, and characterizing antibody and antibody-like therapeutics. Collaborate with scientists to develop research plans, conduct in vitro discovery campaigns, analyze and extract data (NGS and Genedata Biologics entries), and present findings to project teams and the department. Your strong work ethic, organizational skills, and communication abilities will be essential in driving success Key Responsibilities: Complete wet-lab experiments (80%) and data analysis for hit selection and characterization (20%) Independently design and execute discovery campaigns using phage and yeast-display technologies Recover yeast plasmids and prepare samples for NGS data generation Analyze NGS data with appropriate software, e.g. Geneious Biologics/MixCR, and select hit lists for small scale antibody production Contribute to technology platform builds and streamline discovery workflows using phage/yeast display VH, sc Fv and Fab libraries Interpret and present data as a lead scientist/co-lead in the context of multidisciplinary project teams Work within a matrixed environment across multiple groups Education, Experience & Skills: Master's Degree in Biochemistry, Data Science or related fields with 7+ years of proven experience in industry (preferred) or academia Doctoral Degree with 0-2 years of proven experience in industry (preferred) or academia Familiarity with handling large datasets; data science skills including coding and script writing Extensive and current hands-on experience with phage and yeast-display technology for antibody discovery Proven hands-on experience with sample prepping for NGS data generation and sequence analysis Experience in Sanger sequence analysis, protein expression and purification, ELISA, flow cytometry, and tissue culture Ability to work independently and in a team setting Self-motivated, diligent, and flexible in accommodating shifting priorities Strong communication and interpersonal skills, both oral and written, with supervisor, team, and various cross-functional project team members Maintain accurate and well-organized laboratory records, including worksheets, lab notebooks, inventories, and databases Experience working with various antibody formats including VHH, sc Fv and Fab Transfection/electroporation, culturing and expansion of mammalian cells Experience with electronic notebook keeping and data entry using Genedata Biologics Great People want to Work with us! Find out why: GTAA Top Employer Award for 11 years Top 100 Employers Award Canada's Most Admired Corporate Culture Learn more about working with us in Canada View our YouTube channel Are you interested in working at AZ, apply today! AstraZeneca is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailing *********************************. #LI-Hybrid Date Posted 16-Dec-2025 Closing Date 29-Jan-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

Your work will change lives. Including your own. Please note: Our offices will be closed for our annual winter break from December 22, 2025, to January 2, 2026. Our response to your application will be delayed. The Impact You'll Make As a member of Recursion's AI-driven drug discovery initiatives, you will be at the forefront of reimagining how biological knowledge is generated, stored, accessed, and reasoned upon by LLMs. You will play a key role in developing the biological reasoning infrastructure, connecting large-scale data and codebases with dynamic, agent-driven AI systems.You will be responsible for defining the architecture that grounds our agents in biological truth. This involves integrating biomedical resources to enable AI systems to reason effectively and selecting the most appropriate data retrieval strategies to support those insights. This is a highly collaborative role: you will partner with machine learning engineers, biologists, chemists, and platform teams to build the connective tissue that allows our AI agents to reason like a scientist. The ideal candidate possesses deep expertise in both core bioinformatics/cheminformatics libraries and modern GenAI frameworks (including RAG and MCP), a strong architectural vision, and the ability to translate high-potential prototypes into scalable production workflows. In this role, you will: * Architect and maintain robust infrastructure to keep critical internal and external biological resources (e.g., ChEMBL, Ensembl, Reactome, proprietary assays) up-to-date and accessible to reasoning agents. * Design sophisticated context retrieval strategies, choosing the most effective approach for each biological use case, whether working with structured, entity-focused data, unstructured RAG, or graph-based representations. * Integrate established bioinformatics/cheminformatics libraries into a GenAI ecosystem, creating interfaces (such as via MCP) that allow agents to autonomously query and manipulate biological data. * Pilot methods for tool use by LLMs, enabling the system to perform complex tasks like pathway analysis on the fly rather than relying solely on memorized weights. * Develop scalable, production-grade systems that serve as the backbone for Recursion's automated scientific reasoning capabilities. * Collaborate cross-functionally with Recursion's core biology, chemistry, data science and engineering teams to ensure our biological data and the reasoning engines are accurately reflecting the complexity of disease biology and drug discovery. * Present technical trade-offs (e.g., graph vs. vector) to leadership and stakeholders in a clear, compelling way that aligns technical reality with product vision. The Team You'll Join You'll join a bold, agile team of scientists and engineers dedicated to building comprehensive biological maps by integrating Recursion's in-house datasets, patient data, and external knowledge layers to enable sophisticated agent-based reasoning. Within this cross-functional team, you will design and maintain the biological context and data structures that allow agents to reason accurately and efficiently. You'll collaborate closely with wet-lab biologists and core platform engineers to develop systems that are not only technically robust but also scientifically rigorous. The ideal candidate is curious about emerging AI technologies, passionate about making biological data both machine-readable and machine-understandable, and brings a strong foundation in systems biology, biomedical data analysis, and agentic AI systems. The Experience You'll Need * PhD in a relevant field (Bioinformatics, Cheminformatics, Computational Biology, Computer Science, Systems Biology) with 5+ years of industry experience, or MS in a relevant field with 7+ years of experience, focusing on biological data representation and retrieval. * Proficiency in utilizing major public biological databases (NCBI, Ensembl, STRING, GO) and using standard bioinformatics/cheminformatics toolkits (e.g., RDKit, samtools, Biopython). * Strong skills in designing and maintaining automated data pipelines that support continuous ingestion, transformation, and refresh of biological data without manual intervention. * Ability to work with knowledge graph data models and query languages (e.g., RDF, SPARQL, OWL) and translate graph-structured data into relational or other non-graph representations, with a strong judgment in evaluating trade-offs between different approaches. * Competence in building and operating GenAI stacks, including RAG systems, vector databases, and optimization of context windows for large-scale LLM deployments. * Hands-on expertise with agentic AI frameworks (e.g., MCP, Google ADK, LangChain, AutoGPT) and familiarity with leading LLMs (e.g., Google Gemini/Gemma) in agentic workflows, including benchmarking and evaluating agent performance on bioinformatics/cheminformatics tasks such as structure prediction, target identification, and pathway mapping. * Strong Python skills and adherence to software engineering best practices, including CI/CD, Git-based version control, and modular design. * Excellent cross-functional communication skills, ability to clearly explain complex architectural decisions to both scientific domain experts and technical stakeholders. Nice to Have * Strong background in machine learning and deep learning, including hands-on experience with foundation models and modern neural architectures. * Fine-tuning LLMs on scientific corpora for domain-specific reasoning. * Integrating LLMs with experimental or proprietary assay data in live scientific workflows. * Background in drug discovery and target identification. * Meaningful contributions to open-source libraries, research codebases, or community-driven tools. Working Location & Compensation: This is an office-based, hybrid role in either our Salt Lake City, UT or New York City, NY offices. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $200,600 - $238,400. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. #LI-DNI The Values We Hope You Share: * We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. * We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. * We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. * We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. * We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. * We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at ****************** or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

Your work will change lives. Including your own. Please note: Our offices will be closed for our annual winter break from December 22, 2025, to January 2, 2026. Our response to your application will be delayed. The Impact You'll Make As a member of Recursion's AI-driven drug discovery initiatives, you will be at the forefront of reimagining how biological knowledge is generated, stored, accessed, and reasoned upon by LLMs. You will play a key role in developing the biological reasoning infrastructure, connecting large-scale data and codebases with dynamic, agent-driven AI systems.You will be responsible for defining the architecture that grounds our agents in biological truth. This involves integrating biomedical resources to enable AI systems to reason effectively and selecting the most appropriate data retrieval strategies to support those insights. This is a highly collaborative role: you will partner with machine learning engineers, biologists, chemists, and platform teams to build the connective tissue that allows our AI agents to reason like a scientist. The ideal candidate possesses deep expertise in both core bioinformatics/cheminformatics libraries and modern GenAI frameworks (including RAG and MCP), a strong architectural vision, and the ability to translate high-potential prototypes into scalable production workflows. In this role, you will: Architect and maintain robust infrastructure to keep critical internal and external biological resources (e.g., ChEMBL, Ensembl, Reactome, proprietary assays) up-to-date and accessible to reasoning agents. Design sophisticated context retrieval strategies, choosing the most effective approach for each biological use case, whether working with structured, entity-focused data, unstructured RAG, or graph-based representations. Integrate established bioinformatics/cheminformatics libraries into a GenAI ecosystem, creating interfaces (such as via MCP) that allow agents to autonomously query and manipulate biological data. Pilot methods for tool use by LLMs, enabling the system to perform complex tasks like pathway analysis on the fly rather than relying solely on memorized weights. Develop scalable, production-grade systems that serve as the backbone for Recursion's automated scientific reasoning capabilities. Collaborate cross-functionally with Recursion's core biology, chemistry, data science and engineering teams to ensure our biological data and the reasoning engines are accurately reflecting the complexity of disease biology and drug discovery. Present technical trade-offs (e.g., graph vs. vector) to leadership and stakeholders in a clear, compelling way that aligns technical reality with product vision. The Team You'll Join You'll join a bold, agile team of scientists and engineers dedicated to building comprehensive biological maps by integrating Recursion's in-house datasets, patient data, and external knowledge layers to enable sophisticated agent-based reasoning. Within this cross-functional team, you will design and maintain the biological context and data structures that allow agents to reason accurately and efficiently. You'll collaborate closely with wet-lab biologists and core platform engineers to develop systems that are not only technically robust but also scientifically rigorous. The ideal candidate is curious about emerging AI technologies, passionate about making biological data both machine-readable and machine-understandable, and brings a strong foundation in systems biology, biomedical data analysis, and agentic AI systems. The Experience You'll Need PhD in a relevant field (Bioinformatics, Cheminformatics, Computational Biology, Computer Science, Systems Biology) with 5+ years of industry experience, or MS in a relevant field with 7+ years of experience, focusing on biological data representation and retrieval. Proficiency in utilizing major public biological databases (NCBI, Ensembl, STRING, GO) and using standard bioinformatics/cheminformatics toolkits (e.g., RDKit, samtools, Biopython). Strong skills in designing and maintaining automated data pipelines that support continuous ingestion, transformation, and refresh of biological data without manual intervention. Ability to work with knowledge graph data models and query languages (e.g., RDF, SPARQL, OWL) and translate graph-structured data into relational or other non-graph representations, with a strong judgment in evaluating trade-offs between different approaches. Competence in building and operating GenAI stacks, including RAG systems, vector databases, and optimization of context windows for large-scale LLM deployments. Hands-on expertise with agentic AI frameworks (e.g., MCP, Google ADK, LangChain, AutoGPT) and familiarity with leading LLMs (e.g., Google Gemini/Gemma) in agentic workflows, including benchmarking and evaluating agent performance on bioinformatics/cheminformatics tasks such as structure prediction, target identification, and pathway mapping. Strong Python skills and adherence to software engineering best practices, including CI/CD, Git-based version control, and modular design. Excellent cross-functional communication skills, ability to clearly explain complex architectural decisions to both scientific domain experts and technical stakeholders. Nice to Have Strong background in machine learning and deep learning, including hands-on experience with foundation models and modern neural architectures. Fine-tuning LLMs on scientific corpora for domain-specific reasoning. Integrating LLMs with experimental or proprietary assay data in live scientific workflows. Background in drug discovery and target identification. Meaningful contributions to open-source libraries, research codebases, or community-driven tools. Working Location & Compensation: This is an office-based, hybrid role in either our Salt Lake City, UT or New York City, NY offices. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $200,600 - $238,400. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. #LI-DNI The Values We Hope You Share: We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at ****************** or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

The Role Join the Operational Data Strategy (ODS) team to turn clinical operations data into action and help AstraZeneca deliver 20 new medicines by 2030 while reducing ~$300M in waste; you'll develop advanced analyses and machine‑learning models (dashboards in Power BI are for storytelling, not the core output) that power end‑to‑end aggregated planning-one unified view that sharpens prioritization, flags risks earlier, accelerates trade‑offs, and aligns clinical demand and supply; reporting to the Strategic Analytics & Enablement Lead, you'll shape how R&D data is collected, organized, validated, and analyzed, driving portfolio‑wide transparency and evidence‑based decisions while exemplifying critical thinking, a growth mindset, grit, and resilience, and mentoring peers through high‑quality delivery. In this role, you will Deliver scalable, well-governed analytics: translate operational needs into robust analyses and ML models; use dashboards for storytelling. Own the end-to-end workflow: frame hypotheses, source and prep data (DBs/APIs/files), run exploratory/descriptive/predictive analyses, and present clear, actionable insights. Ensure quality and speed: apply reviews and source checks, state assumptions/limits, stay in scope, and respond to ad hoc requests with timely outputs. Partner and enable work with data engineering on ETL, train users, share best practices, and build adoption of ODS analytics. Grow and lead by example: stay current on methods/tools and model integrity, initiative, adaptability, organization, and strategic thinking. Education, Qualifications, Skills and Experience Essential Bachelor's degree in computer science, data/analytics, statistics, engineering, or related field; 3+ years' experience. Advanced hands-on with Python and visualization (Power BI, Spotfire); track record delivering advanced analytics, not just dashboards. Proficient with SQL/NoSQL, ETL, cloud platforms, and software best practices (reproducibility, version control). Proven complex analysis in business/scientific domains, including Clinical Operations. Strong grasp of data science, ML algorithms, statistical inference, and model evaluation. Clear written and verbal English; able to explain assumptions, uncertainties, and limitations. Desired Experience in Agile delivery and exposure to modern MLOps. Evidence of improving processes, documentation, quality standards, and driving stakeholder adoption. Are you interested in working at AZ, apply today! AstraZeneca is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailing *********************************. #LI-Hybrid Date Posted 20-Dec-2025 Closing Date 04-Jan-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

The Role Join the Operational Data Strategy (ODS) team to turn clinical operations data into action and help AstraZeneca deliver 20 new medicines by 2030 while reducing ~$300M in waste; you'll develop advanced analyses and machine‑learning models (dashboards in Power BI are for storytelling, not the core output) that power end‑to‑end aggregated planning-one unified view that sharpens prioritization, flags risks earlier, accelerates trade‑offs, and aligns clinical demand and supply; reporting to the Strategic Analytics & Enablement Lead, you'll shape how R&D data is collected, organized, validated, and analyzed, driving portfolio‑wide transparency and evidence‑based decisions while exemplifying critical thinking, a growth mindset, grit, and resilience, and mentoring peers through high‑quality delivery. In this role, you will * Deliver scalable, well-governed analytics: translate operational needs into robust analyses and ML models; use dashboards for storytelling. * Own the end-to-end workflow: frame hypotheses, source and prep data (DBs/APIs/files), run exploratory/descriptive/predictive analyses, and present clear, actionable insights. * Ensure quality and speed: apply reviews and source checks, state assumptions/limits, stay in scope, and respond to ad hoc requests with timely outputs. * Partner and enable work with data engineering on ETL, train users, share best practices, and build adoption of ODS analytics. * Grow and lead by example: stay current on methods/tools and model integrity, initiative, adaptability, organization, and strategic thinking. Education, Qualifications, Skills and Experience Essential * Bachelor's degree in computer science, data/analytics, statistics, engineering, or related field; 3+ years' experience. * Advanced hands-on with Python and visualization (Power BI, Spotfire); track record delivering advanced analytics, not just dashboards. * Proficient with SQL/NoSQL, ETL, cloud platforms, and software best practices (reproducibility, version control). * Proven complex analysis in business/scientific domains, including Clinical Operations. * Strong grasp of data science, ML algorithms, statistical inference, and model evaluation. * Clear written and verbal English; able to explain assumptions, uncertainties, and limitations. Desired * Experience in Agile delivery and exposure to modern MLOps. * Evidence of improving processes, documentation, quality standards, and driving stakeholder adoption. Are you interested in working at AZ, apply today! AstraZeneca is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailing *********************************. #LI-Hybrid Date Posted 20-Dec-2025 Closing Date 04-Jan-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

At Elanco (NYSE: ELAN) - it all starts with animals! As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose - all to Go Beyond for Animals, Customers, Society and Our People. At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights. Making animals' lives better makes life better - join our team today! Your Role: Senior Data Scientist * This role supports the needs of the Global Analytics & Insights team, part of the Corporate Strategy Team, with a focus on providing Advanced Analytics (to include statistical modeling, regression analyses, market basket, churn modelling methods) to work on program/promotion design and ROI post program. Additional project-based work around price elasticity, mixed market modelling, segmentation, game theory modelling and predictive analytics (e.g., customer lifetime value) will be in scope. The overarching goal of all work will be to find efficiencies in current promotional spend and optimize future business activities * This position is responsible for managing all aspects of project-based analyses including data preparation, analysis design and implementation using appropriate methods. Your Responsibilities: * Collaboration with Strategic Analytics and Descriptive Analytics team members to provide data-driven insights and influence promotional effectiveness to drive optimal business outcomes. * Participation in readout and review with internal customers. * Consistent, constant alignment with all members of team in Greenfield, Indiana. * Maintain an environment open to change and innovation, recognizing improvements in existing tools and anticipating new technologies to deliver world class analytics and maximize effectiveness * undefined What You Need to Succeed (minimum qualifications): * Bachelor's Degree in quantitative or management field. (Master's preferred) * 3+ years of experience in Data Science, Commercial Effectiveness. * Expertise in statistical modelling techniques - A/B testing, regression, clustering, classification, decision trees, forecasting. * Knowledge of probability models, market basket, churn modelling, segmentation and customer analytics. * Advanced skills in Python, R and advanced excel. * Proven analytical/problem solving skills with strong learning agility. What will give you a competitive edge (preferred qualifications): * Experience with Tableau, SQL. * Experience with Azure ML & Model Deployment * Experience with GitHub * Excellent written and verbal communication * Demonstrated excellence in Power Point and storyboarding. * Project management experience across multiple business functions Additional Information: * Travel: 0% * Location: IN, Bangalore - Hybrid Work Environment Don't meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles! Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status

**Who is USP?** The U.S. Pharmacopeial Convention (USP) is an independent scientific organization that collaborates with the world's leading health and science experts to develop rigorous quality standards for medicines, dietary supplements, and food ingredients. At USP, we believe that scientific excellence is driven by a commitment to fairness, integrity, and global collaboration. This belief is embedded in our core value of Passion for Quality and is demonstrated through the contributions of more than 1,300 professionals across twenty global locations, working to strengthen the supply of safe, high-quality medicines worldwide. At USP, we value inclusive scientific collaboration and recognize that attracting diverse expertise strengthens our ability to develop trusted public health standards. We foster an organizational culture that supports equitable access to mentorship, professional development, and leadership opportunities. Our partnerships, standards, and research reflect our belief that ensuring broad participation in scientific leadership results in stronger, more impactful outcomes for global health. USP is proud to be an equal employment opportunity employer (EEOE) and is committed to ensuring fair, merit-based selection processes that enable the best scientific minds-regardless of background-to contribute to advancing public health solutions worldwide. We provide reasonable accommodations to individuals with disabilities and uphold policies that create an inclusive and collaborative work environment. **Brief Job Overview** The USP Advanced Manufacturing Technologies (AMT) team seeks to continuously improve medicines through practical applications and solutions in advanced manufacturing and analytical technologies that increase medicine quality and strengthen supply chain resiliency. The AMT team helps make drugs in new ways, test the quality of drugs in new ways, and build more efficient, sustainable, and competitive industries both in the US and around the globe. To do this work, the AMT team brings together expertise in chemistry, biologics, engineering, data science, economics, business, and regulatory science. The **AMT Data Scientist** is a scientific professional who leverages data science expertise to support scientific, supply chain, and sustainability programs. This will include, but are not limited to, the following program areas: 1) MedSuRe Climate-smart work package building baseline and improvement models of manufacturing, energy, water, waste, and resource utilization; 2) AI/ML models to streamline pharmaceutical supply chain vulnerability and solution analyses; and 3) processing and modeling spectroscopy data generated by process analytical technologies (PAT) research and development solutions. The role emphasizes cross-disciplinary collaboration on time-sensitive externally and internally funded projects and development of proposals for new projects. The workload balance in these areas depends on external funding priorities and projects. **This is a two-year fixed term position** . The term may be extended based on external funding priorities and projects. **How will YOU create impact here at USP?** As part of our mission to advance scientific rigor and public health standards, you will play a vital role in increasing global access to high-quality medicines through public standards and related programs. USP prioritizes scientific integrity, regulatory excellence, and evidence-based decision-making to ensure health systems worldwide can rely on strong, tested, and globally relevant quality standards. Additionally, USP's People and Culture division, in partnership with the Equity Office, invests in leadership and workforce development to equip all employees with the skills to create high-performing, inclusive teams. This includes training in equitable management practices and tools to promote engaged, collaborative, and results-driven work environments. The **AMT Data Scientist** has the following responsibilities: + Create, validate, and continually refine multivariate models using principal component analysis (PCA), partial least squares (PLS), and advanced machine learning (ML) algorithms. + Use of normalization, mean-centering, and cross-validation strategies to ensure model robustness and interpretability while managing high-dimensional data sets. + Employ advanced model-based approaches for scenario simulation, risk prediction, and mitigation optioning. + Apply data science expertise to the development of carbon footprint models of pharmaceutical manufacturing that incorporate energy, process technologies, water, waste, transportation, and packaging. + Build, validate, and implement life-cycle assessment models and tools for current and future applications. + Build, validate, and implement predictive models in both the sustainable manufacturing and supply chain spaces. + Model trade-offs and conduct scenario analysis to optimize yield, reduce waste, and cost of production. + Develop AL/ML tools for internal use within the AMT team to improve efficiency and quality of complex, technical and economic analyses. + Use of AI/ML-driven retrosynthetic tools (e.g., AIZynthFinder, SYNCHEM) and multi-target convergent synthesis frameworks to design efficient, cost-effective pathways for active pharmaceutical ingredients (APIs) and intermediates. + In collaboration with USP science staff, analyze high-dimensional data from analytical platforms such as NIR, Raman, FTIR, and HPLC employing chemometric methods to extract actionable insights. + Author and execute protocols for method design, model building, and validation for advanced manufacturing technologies. + Act as a subject-matter expert on data science on cross-functional projects, including the technical design of proposals + Ensure all work is done on-time, meets client expectations, and exemplifies the trust, quality, and reliability expected from a USP solution. + Other duties as assigned. **Who is USP Looking For?** The successful candidate will have a demonstrated understanding of our mission, commitment to excellence through inclusive and equitable behaviors and practices, ability to quickly build credibility with stakeholders, along with the following competencies and experience: + Bachelor's Degree and seven (7) years of relevant experience; master's degree and five (5) years of relevant experience; or a Ph.D. and (3) years of relevant experience required. + Demonstrated experience applying statistical techniques to complex systems as well as developing or applying techniques such as pre-processing, classification, regression, clustering, dimensionality reduction and model selection. + Programming and computational abilities in data science languages and frameworks (e.g., Python-Pandas, scikit-learn, TensorFlow; R; MATLAB; Pyomo). + Strong analytical reasoning, critical thinking, and troubleshooting ability. + High attention to detail and integrity. + Demonstrates initiative to solve problems and develop solutions on a deadline. + Solid communications skills - both written and oral. + Desire to affect change and drive public health impact. **Additional Desired Preferences** + Preferred degrees in data science, statistics, chemical engineering, or closely related field with significant emphasis in mathematical and statistical methods to extract meaningful information. + Working knowledge of manufacturing in the pharmaceutical industry. + Familiarity with the applying data science to climate risk or other environmental domains. + Experience executing on contract work. **Supervisory Responsibilities** None, this is an individual contributor role. **Benefits** USP provides the benefits to protect yourself and your family today and tomorrow. From company-paid time off and comprehensive healthcare options to retirement savings, you can have peace of mind that your personal and financial well-being is protected. **Compensation** Base Salary Range: USD **$87,200.00 - $113,450.00** annually. Target Annual Bonus: % Varies based on level of role. Individual compensation packages are based on various factors unique to each candidate's skill set, experience, qualifications, equity, and other job-related reasons. Note: USP does not accept unsolicited resumes from 3rd party recruitment agencies and is not responsible for fees from recruiters or other agencies except under specific written agreement with USP. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (**************************** notice from the Department of Labor. **Job Category** Information Technology **Job Type** Full-Time

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.

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.

We are currently seeking an experienced data scientist to join our AI team who will support and lead data flow, advanced analytical needs and AI tools across Medpace. The AI team utilizes analytical principles and techniques to identify, collate and analyze many data sources and works with teams across Medpace to support efficiency and business gains for pharmaceutical development. The AI Data Scientist will support various projects across the company to bring data sources together in a consistent manner, work with the business to identify the value of AI, identify appropriate solutions and work with IT to ensure they are developed and built into the relevant systems. The team is seeking an experienced candidate to contribute new skills to our team, support team growth and foster AI development. The AI Team is a highly collaborative team with members in both the Cincinnati and London offices. This team supports many teams across the business including clinical operations, medical, labs, business development and business operations. The AI Team also works side-by-side with data engineering, business analytics and software engineering to architecture innovative data storage and access solutions for optimal data utilization strategies. If you are an individual with experience in informatics, data science, or computer science, please review the following career opportunity. Responsibilities * Explore and work with different data sources to collate into knowledge; * Work with different business teams across the company with a variety of different business needs to identify potential areas that AI can support; * Manage the process of working through AI potentials from discovery research to PoC to production with the business teams and supporting tasks for IT developers; * Try out different AI tools to substantiate the potential of its use with the business team; * Translate results into compelling visualizations which illustrate the overall benefits of the use of AI and identify with the business team the overall value of its use; * Develop and map database architecture of methodological and clinical data systems; * Convert business tasks into meaningful developer Jira tasks for sprints; * Support departmental process improvement initiatives that can include AI; and * Participate in training and development of more junior team members. Qualifications * Master's degree or higher in informatics, computer science/engineering, health information, statistics, or related field required; * 2 or more years of experience as a Data Scientist or closely related; * Experience applying machine learning to pharmaceutical or clinical data (or translatable artificial intelligence [ai] techniques from other industries); * Advanced computer programming skills (preferred language: Python); * Analytical thinker with great attention to detail; * Ability to prioritize multiple projects and tasks within tight timelines; and * Excellent written and verbal communication skills. 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.

The Medpace Analytics and Business Intelligence team is growing rapidly and is focused on building a data driven culture across the enterprise. The BI team uses data and insights to drive increased strategic and operational efficiencies across the organization. As a Junior Data Scientist, you will hold a highly visible analytical role that requires interaction and partnership with leadership across the Medpace organization. What's in this for you? * Work in a collaborative, fast paced, entrepreneurial, and innovative workplace; * Gain experience and exposure to advanced BI concepts from visualization to data warehousing; * Grow business knowledge by working with leadership across all aspects of Medpace's business. Responsibilities * Data Collection & Cleaning: Gather, clean, and preprocess large, raw datasets; * Analysis & Modeling: Perform statistical analysis, build & validate machine learning models, and test hypotheses (e.g., A/B testing); * Algorithm Development: Create algorithms to manage and interpret information, often automating processes; * Insight Generation: Discover trends, patterns, and insights to inform business strategy; * Visualization & Communication: Present complex findings visually (dashboards, charts) and verbally to technical and non-technical teams; * Collaboration: Work with engineering, product, and business teams to implement solutions; * Model Monitoring: Deploy and maintain models, iterating for continuous improvement. Qualifications * Bachelor's Degree in Business, Life Science, Computer Science, or Related Degree; * 0-3 years of experience in business intelligence or analytics - Python, R, SQL heavily preferred * Strong analytical and communication skills; * Excellent organization skills and the ability to multitask while efficiently completing high quality work. 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.

7,000 Diseases - 500 Treatments - 1 Rare Pharmacy PANTHERx is the nation's largest rare disease pharmacy, and we put the patient experience at the top of everything that we do. If you are looking for a career in the healthcare field that embraces authentic dedication to patient care, you don't need to look beyond PANTHERx. In every line of service, in every position and area of expertise, PANTHERx associates are driven to provide the highest quality outcomes for our patients. We are seeking team members who: Are inspired and compassionate problem solvers; Produce high quality work; Thrive in the excitement of the ever-challenging environment of modern medicine; and Are committed to achieving superior health outcomes for people living with rare and devastating diseases. At PANTHERx, we know our employees are the driving force in what we do. We cultivate talent and encourage growth within PANTHERx so that our associates can continue to explore their interests and expand their careers. Guided by our mission to provide uncompromising quality every day, we continue our strategic growth to further reach those affected by rare diseases. Join the PANTHERx team, and define your own RxARE future in healthcare! Location: Pittsburgh, PA (Hybrid or Remote) Classification: Exempt Status: Full-Time Reports To: Data Scientist Purpose The Data Scientist is responsible for data modeling, model deployment, and model training, focusing on leveraging data to improve patient outcomes, optimize pharmacy operations, and support strategic decision-making. The ideal candidate will have experience in healthcare analytics, a strong foundation in statistical modeling and machine learning, and a passion for using data to drive innovation in specialty pharmacy services. Responsibilities Develops predictive models to support business needs. Identify patient adherence risks, optimize medication therapy management, etc. Applies machine learning techniques to uncover patterns in patient behavior, treatment efficacy, and operational efficiency. Translates complex data into actionable insights for pharmacy leadership and clinical teams. Participates in the end-to-end lifecycle of AI projects, from ideation to model deployment and monitoring. Supports strategic initiatives such as value-based care programs, payer reporting, and clinical trial analytics. Works with data engineers to ensure data integrity, accessibility, and security across pharmacy systems. Cleans, transforms, and validates large datasets from EMRs, claims, dispensing systems, and patient engagement platforms. Works with Data Architect to evaluate and implement new tools, technologies, and methodologies to advance the organization's AI capabilities. Communicates complex technical concepts and project outcomes to non-technical stakeholders, including executive leadership. Champions data governance, quality, and security best practices across the organization. Required Qualifications Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Minimum of one (1) year of professional experience in data science. Proficiency in Python, R, SQL, and data visualization tools (e.g., Tableau, Power BI). Strong understanding of data privacy, security, and compliance requirements (e.g., HIPAA, GDPR). Excellent communication and stakeholder management skills. Preferred Qualifications Master's in Computer Science, Data Science, Statistics, Mathematics, or a related field. Experience with healthcare data standards (HL7, FHIR, NCPDP) and familiarity with HIPAA compliance. Experience with NLP for clinical text analysis. Knowledge of payer-provider dynamics and specialty pharmacy reimbursement models. Familiarity with the Azure cloud platform and Azure Databricks. Work Environment This position operates in a home or professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. Physical Demands While performing the duties of this job, the employee is regularly required to sit, see, talk, or hear. The employee frequently is required to stand; walk; use hands and fingers, handle or feel; and reach with hands and arms. Visual acuity is necessary for tasks such as reading or working with various forms of data for extended periods on a computer screen. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the job. Benefits: Hybrid, remote and flexible on-site work schedules are available, based on the position. PANTHERx Rare Pharmacy also affords an excellent benefit package, including but not limited to medical, dental, vision, health savings and flexible spending accounts, 401K with employer matching, employer-paid life insurance and short/long term disability coverage, and an Employee Assistance Program! Generous paid time off is also available to all full-time employees, as well as limited paid time off for part-time employees. Of course we offer paid holidays too! Equal Opportunity: PANTHERx Rare Pharmacy is an equal opportunity employer, and does not discriminate in recruiting, hiring, promotions or any term or condition of employment based on race, age, religion, gender, ethnicity, sexual orientation, gender identity, disability, protected veteran's status, or any other characteristic protected by federal, state or local laws.

Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong at Astellas! Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at ***************** This position is based in Northbrook, Illinois. Hybrid work from certain states may be permitted in accordance with Astellas' Responsible Flexibility Guidelines. Candidates interested in hybrid work are encouraged to apply. Purpose: We are hiring an experienced real-world data scientist to join our Real-World Data Science (RWDS) team. As an Associate Director of RWDS, you will be an analytic researcher informing and conducting Real World Data (RWD) studies at any time in the drug lifecycle. You will work directly within the RWDS team to execute observational studies for internal and external consumption and partner closely with Development, Medical Affairs, and Pharmacovigilance/Pharmacoepidemiology colleagues in their research. Additionally, you will collaborate closely with others in RWDS, Biostatistics and the broader Quantitative Sciences & Evidence Generation department to enhance our RWD and analytics offerings. RWDS is multidisciplinary and provides RWE strategic input, study design, statistical and programming support to projects. Team members apply their unique knowledge, skills and experience in teams to deliver decision-shaping real-world evidence. Essential Job Responsibilities: * Provide best-in-class data science support to Astellas drug development programs & marketed products in relation to RWD * Design of observational studies (primary and/or secondary data) * Execute (program and analyze) observational studies using in-house RWD or oversee vendors or other RWDS staff in executing observational studies * Write, review, or contribute to key study documents to ensure optimal methodological & statistical presentation. These documents include, protocols, analysis plans, tables and figure (TLF) specifications, study reports, publications * Ensure efficient planning, execution and reporting of analyses * Advise as subject matter expert in specific data access partnerships * Represent the company on matters related to RWD analysis at meetings with regulatory authorities, key opinion leaders and similar experts/bodies as needed * Contributes to vendor selection with partner functions * Participate in the creation and upkeep of best practices, tools/macros, and standards related to methods, data and data analysis at Astellas * Collaborate with RWDS and Biostatistics colleagues and cross-functional teams in Development, Medical Affairs and Pharmacovigilance * Mentor and guide junior members of the RWD Analytics team

Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong at Astellas! Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at ***************** This position is based in Northbrook, Illinois. Hybrid work from certain states may be permitted in accordance with Astellas' Responsible Flexibility Guidelines. Candidates interested in hybrid work are encouraged to apply. Purpose: We are hiring an experienced real-world data scientist to join our Real-World Data Science (RWDS) team. As an Associate Director of RWDS, you will be an analytic researcher informing and conducting Real World Data (RWD) studies at any time in the drug lifecycle. You will work directly within the RWDS team to execute observational studies for internal and external consumption and partner closely with Development, Medical Affairs, and Pharmacovigilance/Pharmacoepidemiology colleagues in their research. Additionally, you will collaborate closely with others in RWDS, Biostatistics and the broader Quantitative Sciences & Evidence Generation department to enhance our RWD and analytics offerings. RWDS is multidisciplinary and provides RWE strategic input, study design, statistical and programming support to projects. Team members apply their unique knowledge, skills and experience in teams to deliver decision-shaping real-world evidence. Essential Job Responsibilities: Provide best-in-class data science support to Astellas drug development programs & marketed products in relation to RWD Design of observational studies (primary and/or secondary data) Execute (program and analyze) observational studies using in-house RWD or oversee vendors or other RWDS staff in executing observational studies Write, review, or contribute to key study documents to ensure optimal methodological & statistical presentation. These documents include, protocols, analysis plans, tables and figure (TLF) specifications, study reports, publications Ensure efficient planning, execution and reporting of analyses Advise as subject matter expert in specific data access partnerships Represent the company on matters related to RWD analysis at meetings with regulatory authorities, key opinion leaders and similar experts/bodies as needed Contributes to vendor selection with partner functions Participate in the creation and upkeep of best practices, tools/macros, and standards related to methods, data and data analysis at Astellas Collaborate with RWDS and Biostatistics colleagues and cross-functional teams in Development, Medical Affairs and Pharmacovigilance Mentor and guide junior members of the RWD Analytics team