Data Scientist – Real World Evidence (RWE)
Neotechie Private Limited | Noida, India | Working Hours: EST
About Neotechie
Neotechie is a forward-thinking IT consulting and digital transformation company helping organizations harness the power of AI/ML, data science, and intelligent automation to solve complex business problems. We partner with clients across healthcare, pharma, and life sciences to deliver analytical solutions that drive real, measurable outcomes. Join us and work at the intersection of cutting-edge technology and meaningful impact.
About the Role
We are looking for an experienced Data Scientist with a strong Real-World Evidence (RWE) background to join our growing data science practice. In this role, you will work directly with pharma, biotech, and healthcare clients to design and execute observational studies, generate actionable insights from large administrative datasets, and translate complex statistical findings into evidence that informs medical affairs, regulatory, and commercial decisions.
This is a high-impact, client-facing role for someone who is analytically rigorous, collaborative, and comfortable working across the full RWE lifecycle — from study design through delivery.
What You'll Do
- Design and execute end-to-end observational studies using real-world data, including study protocol development, feasibility assessments, statistical analysis plans (SAPs), and final deliverables.
- Build analysis-ready patient cohorts, features, and clinical outcomes from raw administrative claims data (e.g., Optum Claims, MarketScan, Medicare/Medicaid).
- Apply advanced statistical methods for observational data including regression modeling, survival analysis, longitudinal analyses, propensity score methods, and covariate adjustment.
- Develop and maintain scalable, reproducible analytical pipelines in Python and/or R, leveraging cloud or distributed environments (Spark, SQL-based analytics, BigQuery, Databricks, etc.).
- Partner with cross-functional stakeholders — medical affairs, HEOR, market access, regulatory teams — to align RWE strategy with clinical and commercial objectives.
- Translate complex methodological findings into clear, compelling narratives for non-technical audiences, including executive presentations and client readouts.
- Contribute to or lead the authorship of study reports, conference abstracts, and peer-reviewed publications where applicable.
- Stay current on evolving RWE methodologies, regulatory guidance (FDA, EMA), and data source capabilities.
What You Bring
Required
- 5+ years of hands-on experience in data science, biostatistics, or analytics with a dedicated focus on real-world data / real-world evidence in pharma, biotech, CRO, or healthcare consulting.
- Direct experience working with large patient-level longitudinal claims datasets — Optum Claims, IBM MarketScan, Medicare/Medicaid, or equivalent.
- Strong command of statistical methods for observational research: regression modeling, survival analysis, time-to-event analyses, longitudinal methods, and confounding control.
- Proficiency in Python and/or R; SQL expertise for large-scale data querying and manipulation.
- Experience in distributed or cloud-based data environments (e.g., Spark, Databricks, Snowflake, or equivalent).
- Demonstrated ability to independently manage analytical workstreams from raw data to client-ready outputs.
- Excellent written and verbal communication skills — able to clearly explain methodology, assumptions, and limitations to both technical and non-technical stakeholders.
- Strong collaborative instincts with a track record of building trusted partnerships across functions and seniority levels.
Preferred
- Experience producing RWE to support medical affairs, HEOR, market access, or regulatory submissions/interactions.
- Working knowledge of causal inference frameworks and methods (e.g., instrumental variables, difference-in-differences, target trial emulation) applied to observational data.
- Therapeutic area experience in oncology, dermatology, haematology, immunology, or other complex disease areas.
- Prior authorship or contribution to peer-reviewed RWE publications or scientific conference abstracts.
- Familiarity with regulatory guidance on RWE from FDA (e.g., PFDD framework) or EMA.
Education
Bachelor's degree in Statistics, Data Science, Computer Science, Mathematics, Public Health, or a related quantitative field. A Master's degree or relevant certifications (e.g., in Epidemiology, Biostatistics, or Health Informatics) are a plus — but demonstrated hands-on experience with RWE datasets and observational methods matters more than credentials.
Why Neotechie
- Work on high-visibility projects with leading pharma and healthcare clients.
- Collaborative, fast-paced environment at the cutting edge of AI-driven digital transformation.
- Exposure to diverse data assets, therapeutic areas, and analytical challenges.
- Growth opportunities within a rapidly expanding data science practice.
Pay: ₹2,500,000.00 per year
Work Location: Hybrid remote in Noida, Uttar Pradesh (Noida)
