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Tier-1 biotech, metro location, and mid-level generalist ML/data role drive high candidate competition.
Requires pharmaceutical payer, claims, and market datasets, limiting cross-industry transferability.
Explicit 3–5 year band plus required ML, claims-domain expertise, SQL and Python makes shortlisting high.
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Develop and deploy advanced machine learning, operational research, semantic analysis, and statistical methods to analyze large datasets.
Create analytics solutions and models using SQL, Python, and Excel to generate actionable business insights supporting payer and managed markets decisions.
Produce and present regular performance dashboards and reports tracking product and portfolio performance against business objectives using complex pharmaceutical data sources.
Master’s degree with 1 to 3 years in computer science, statistics, or STEM majors plus at least 1 year of Information Systems experience OR Bachelor’s degree with 3 to 5 years in relevant STEM majors plus minimum 2 years of Information Systems experience.
Experience with pharmaceutical data sets including Fingertip, Clarivate, IQVIA LAAD, Symphony Claims, IQVIA NPA, IQVIA DDD, and payer claims data.
Proficiency in SQL, Python, and Microsoft Excel for data analytics, with experience in visualization tools like Tableau or Power-BI.
Work Experience Required: 1 to 5 years according to education and experience levels stated; Notice period: Not explicitly mentioned in the JD.
Strong understanding of the US pharmaceutical ecosystem and managed markets analytics including product formulary positioning and utilization controls.
Experienced in handling unstructured problem statements and performing advanced analytics such as longitudinal patient analysis, time series modeling, and customer segmentation.
Able to develop strategic, data-driven insights to support key business decisions in a collaborative, team-based environment using diverse pharmaceutical datasets.