About this role
What you will do
- Support the execution of analytics and modeling projects across therapeutic area (TA) delivery and/or investment analytics teams.
- Assist in data preparation, exploratory analysis, metric tracking, and performance reporting with high accuracy.
- Help maintain and operationalize dashboards or reusable code assets in Databricks or Python/SQL environments.
- Contribute to project delivery by partnering with senior data scientists and leads on model building, testing, and result summaries.
- Support documentation, version control, and deployment practices using standardized platforms and tools.
- Stay curious — continuously learn about methods such as marketing mix modeling, predictive modeling, A/B testing, 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.
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; comfort working in Databricks or similar environments.
- Experience with data visualization and performance metric tracking.
- Strong attention to detail and a focus on delivering high-quality, reproducible work.
Preferred Qualifications
- Exposure to marketing mix modeling, predictive modeling, or experiment-based analytics.
- Interest in life sciences, healthcare, or pharma analytics environments.
- Familiarity with tools such as MLflow, Git, or Jupyter notebooks.
- Demonstrated ability to collaborate with analysts, engineers, or business partners to get things done.