Senior Scientist, Data Science - R&D DDSAI - Therapeutics Development & Supply (TDS)
About The Position
The R&D Data, Data Science & AI (DDSAI) organization is seeking a hands-on technical individual contributor to build, test, validate, and refine applied AI/ML and statistical models that support Therapeutics Development & Supply (TDS). The role partners with Process Development, CMC, Clinical Supply, Manufacturing, Quality, Regulatory, and Digital/Data Science teams to deliver practical data science and machine learning models for CMC development, pharmaceutical product development, dossier preparation, technical development, and clinical supply. The successful candidate brings quantitative depth, data science tooling fluency, and a record of delivering analytical solutions with real-world impact. Working under the guidance of senior data scientists and the AI Solutions Director, this person translates scientific and business questions into modeling problems, develops and evaluates models, and contributes to reliable, maintainable analytical software. The role also supports concurrent projects and participates in technical reviews, cross-functional capability groups, and capability-building activities.
Requirements
- Advanced degree in Data Science, Statistics, Computer Science, Engineering, Chemistry, Physics, or a related quantitative discipline.
- 1–3 years of relevant experience in applied data science, machine learning, or statistical modeling, including graduate research.
- Proficiency in Python and common data science libraries, including scikit-learn, pandas, numpy, PyTorch, and TensorFlow.
- Strong analytical and problem-solving skills.
- Good communication skills and ability to work collaboratively in cross-functional teams.
Nice To Haves
- Ph.D. in Mathematics, Statistics, Engineering, Chemical Engineering, Computer Science, Data Science, Operations Research, Chemistry, Physics, Pharmaceutical Sciences, or another related quantitative or scientific discipline.
- Experience with pharmaceutical, bioprocess, manufacturing, or healthcare data.
- Familiarity with experimental design, Bayesian methods, or scientific computing.
- Exposure to developing and/or deploying agent-based AI solutions.
- Exposure to cloud-based data science environments such as AWS and Snowflake.
Responsibilities
- Build, test, validate, and iterate on AI/ML models for TDS use cases under the guidance of senior data scientists and the AI Solutions Director.
- Translate complex scientific and business questions into tractable modeling problems, selecting fit-for-purpose methods based on data, decision context, assumptions, and expected business impact.
- Conduct exploratory data analysis, feature engineering, model selection, hyperparameter tuning, and performance evaluation.
- Develop clean, well-documented analytical code using Python and modern data science tooling, including cloud-based services.
- Follow software engineering best practices, including version control, testing, documentation, reproducibility, and code review.
- Use modern development environments, including AI-assisted coding tools where appropriate, while maintaining quality, transparency, and maintainability.
- Work with TDS domain experts to understand data, context, and requirements and design ML/AI solutions accordingly.
- Support multiple concurrent projects, manage tasks, and communicate progress to the team lead.
- Participate in team technical reviews, cross-functional capability groups, and capability-building activities.
Benefits
- Company consolidated retirement plan (pension) and savings plan (401(k)), subject to the terms of the plans.
- Eligibility to participate in the company’s long-term incentive program.
- Vacation: 120 hours per calendar year, subject to applicable policies and date of hire.
- Sick time: 40 hours per calendar year, with different amounts for employees residing in Colorado or Washington, subject to applicable policies and date of hire.
- Holiday pay, including floating holidays: 13 days per calendar year.
- Work, Personal and Family Time: up to 40 hours per calendar year.
- Parental Leave: 480 hours within one year of the birth, adoption, or foster care of a child.
- Bereavement Leave: 240 hours for an immediate family member and 40 hours for an extended family member per calendar year.
- Caregiver Leave: 80 hours in a 52-week rolling period.
- Volunteer Leave: 32 hours per calendar year.
- Military Spouse Time-Off: 80 hours per calendar year.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
