Measurement Science Lead
Posted Updated
HOW MIGHT YOU DEFY IMAGINATION
Live | What you will do
- Lead causal inference and impact measurement initiatives to evaluate the effectiveness of commercial and customer engagement strategies.
- Apply advanced statistical methods and experimentation to quantify incremental business impact and inform decision-making.
- Develop attribution frameworks across field and digital customer engagement channels.
- Partner with business teams to translate commercial questions into actionable insights.
- Mentor data scientists and champion best practices in causal analytics and measurement.
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.
You will be part of a collaborative analytics environment where data science is used to improve commercial decision-making, strengthen customer engagement, and help teams better understand patient and HCP needs.
Basic Qualifications
- 57 years of experience in causal inference, experimentation, marketing science, or data science.
- Strong expertise in causal inference, statistical modeling, experimental design (A/B testing), and quantifying business impact.
- Experience applying quasi-experimental methods (e.g., propensity score matching, difference-in-differences, synthetic controls, uplift modeling) to evaluate commercial initiatives .
- Proficiency in Python, SQL, and large-scale data environments for experimental analysis and causal measurement.
- Ability to translate complex statistical findings and causal insights into actionable recommendations for business stakeholders.
Preferred Qualifications
- Experience in life sciences, healthcare, or pharmaceutical analytics.
- Experience in commercial analytics