Follow best practices for documentation, version control, and reproducibility
Collaborate with cross-functional teams and participate in stakeholder discussions alongside L5 leads
Continuously learn and apply methods such as predictive modeling, experimentation, and causal inference
Thrive | What you can expect
As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.
Exposure to end-to-end data science delivery in a commercial pharma setting
Opportunity to work on rare disease patient finding and patient journey analytics
Mentorship from experienced data scientists and exposure to advanced modeling techniques
A collaborative environment focused on learning, impact, and growth
Basic Qualifications
Bachelor’s or Master’s in Data Science, Engineering, Statistics, or a related quantitative field
3–5 years of experience in analytics, modeling, or data science delivery
Working knowledge of Python and SQL; experience with modern data platforms
Experience with data analysis, visualization, and performance tracking
Strong attention to detail and focus on high-quality, reproducible work
Preferred Qualifications
Exposure to predictive modeling, machine learning, or experimentation frameworks
Basic understanding of healthcare data or patient journey analytics
Familiarity with patient finding concepts (e.g., early signals, triggers, segmentation) is a plus
Interest in rare disease analytics and low-signal data environments
Experience with tools such as MLflow, Git, or notebook-based development environments
Strong problem-solving skills and ability to work with ambiguous requirements
Demonstrated ability to collaborate effectively with technical and business teams
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