As a Quantitative Scientist working on feasibilities in Analytic Solutions , you play a key role in generating initial feasibility assessments for life science companies that want to utilize data for clinical development and commercial impact.
The Data & Science teams work directly improves quality of care for patients, and your contributions will help us explore the data to ensure fit-for-purpose alignment with the use cases from our clients to effectively harness the data. Ensuring clinical insights translate into better health outcomes.
What You Get to Do
Lead execution of initial queries and feasibility requests surfaced by customers
Be at the forefront of understanding what life science companies are engaging in leveraging real-world data for
Inform in a data-driven manner whether questions are a good match and well aligned with customer solutions
Present and communicate findings to internal partners, supporting decision-making and innovation
Contribute to a culture of learning and scientific rigor, continuously improving methodological standards




Skills and Experience that Will Help You Succeed?
Proven expertise coding and analyzing healthcare datasets to generate metrics based on real-world data
Demonstrated ability to execute implementation requirements that include subsetting a large clinical database to a select set of patients that meet a number of criteria
Ability to collaborate cross-functionally with teams (e.g., Commercial, Product, Medical, Engineering, etc.) to translate clinical investigation questions into programming logic
Essential Requirements - Overall experience 5+ years
Masters or Doctorate in Engineering, Computer Science, Math, Statistics, or related
quantitative field, or equivalent hands-on experience
3+ years of direct experience with healthcare datasets (EHR, outcomes, messy/complex
data)
Experience querying large-scale relational databases
Expertise in Python, PySpark, cloud environments (AWS), Databricks, and Git-based workflows
Ex

📌 MODULE LEAD (Pune)
🏢 Happiest Minds Technologies
📍 Pune