Headline

Computational Biologist: RNA-seq, Network Biology, ML/DL Diagnostics → Commercial Life Sciences

About

My academic background is biomedical engineering — IIT Bombay M.Tech (9.5 CPI) with a thesis in RNA-seq processing and autoimmune disease prediction using DESeq2, WGCNA, and Seurat, and coursework spanning Biostatistics, Epidemiology, Genomics, Computational Biology, Clinical Data Management, and Economics for Public Policy. NIT Rourkela B.Tech with specialisation in Biomedical Signal Processing, Medical Imaging, QSAR Modelling, and Computer-Aided Drug Design. In industry, I have spent 4+ years delivering end-to-end analytics for global US-based pharma programs in solid tumour oncology — NSCLC, RCC, PDAC, CRC, and KRAS-mutant biology. My work spans RWE observational study design, survival analysis, propensity score methods, causal inference, patient journey analytics, HCP segmentation, field force strategy, revenue forecasting, and clinical trial intelligence. I have designed observational study framework across 8 study designs on Optum EHR, built Snowflake SQL pipelines for audit-ready cohort validation, and developed a 5-dashboard clinical analytics platform used across client engagements. Primary datasets: IQVIA LaaD, Veeva Claims, Optum EHR/Claims, McKesson Compile and Komodo. I work at the intersection of clinical science and data — comfortable writing statistical frameworks and SQL pipelines in the same week I present to a pharma executive team. My direction is toward roles in RWE, pharmacoepidemiology, biostatistical programming, HEOR, clinical data science, and healthcare AI product — anywhere the biology and the data both matter. Open to opportunities across pharma, biotech, CROs, and health tech. Relocating globally.

Location

Bengaluru

AI stack

anthropic apis

claude code

claude

codex

gemini

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Work experience

Associate Lead - Data, Analytics & AI Strategy at Novo Nordisk, Jul 2026 - Present · 4 mos, Bengaluru, Drive commercial and clinical insights analytics for Novo's cardiovascular and cardiorenal pipeline, partnering with market access, payer evidence, medical affairs, commercial strategy, and medical communications teams.

Associate Consultant at Blue Matter, Sep 2024 - Jul 2026 · 1 yr 11 mos, Hybrid, Lead two global oncology client engagements across NSCLC, RCC, PDAC, and CRC pre-launch programs — defining analytical approach, methodology, and delivering end-to-end from data to executive presentation. ▸ Designed registry-style RWE study (Optum EHR): 11-sheet observational framework across 8 study designs — cohort construction, covariate definitions, time-to-event endpoints, missing data strategy, and longitudinal outcome specifications aligned with FDA RWE Framework and EMA guidance. ▸ Executed survival analyses (Kaplan-Meier, Cox PH, competing risks), propensity score matching, IPTW, causal inference, and longitudinal modelling in R across claims and EHR datasets. ▸ Built Snowflake SQL reporting pipelines for cohort validation and cross-source data linkage; resolved production-level discrepancies between query outputs and Power BI dashboards — audit-ready, reproducible workflows. ▸ Conceptualised and delivered a 5-dashboard clinical analytics platform (Burden of Illness, Endpoint Optimisation, Longitudinal Analysis, Patient Landscape, HCP Recruitment) — defined requirements, led development, validated with senior leadership. ▸ Built AI-enabled automation tools reducing analytics delivery time ~30%; led capability-building across 10-member team. ▸ Firm-wide SME for oncology RWE across IQVIA LaaD, Veeva Claims, McKesson Compile, and Optum EHR/Claims.

Associate at Blue Matter, Jul 2023 - Sep 2024 · 1 yr 3 mos, Gurugram, ▸ Designed end-to-end patient treatment journey analytics solution from inception using US open claims data (300M patients) — cohort definition, treatment sequence modelling, survival analysis, HCP segmentation, and market opportunity sizing at 85% real-time precision. ▸ Built 100+ parameter integrated revenue forecast model for a 6-molecule oncology pipeline — incorporating epidemiological trends, payer access scenarios, and competitive dynamics; validated against external benchmarks. ▸ Developed multi-modal field force alignment model across all US regions for a targeted therapy pre-launch — integrating patient density analytics, prescriber network analysis, and payer access overlays. ▸ Prepared HEOR analytical frameworks: burden of illness evidence, budget impact concepts, and unmet need quantification for payer and regulatory value demonstration.

Operations Analyst at TCS Life Sciences, Mar 2022 - May 2023 · 1 yr 3 mos, ▸ Delivered production-grade statistical analytics for a global life sciences client across 7 cross-functional teams — maintained data quality, reproducibility, and audit-readiness across large-scale healthcare datasets. ▸ Resolved ETL pipeline failures (~80% of daily tickets); gained expertise in distributed data processing, cloud migration, and production workflow management.

Business Analyst at D Cube Analytics, Jun 2021 - Dec 2021 · 7 mos, Bengaluru, ▸ Built prescriber classification models (Growers / Loyalists / Decliners) using longitudinal claims data in SQL, Alteryx, and PySpark — enabling differentiated HCP targeting strategies. ▸ Developed automated single-click BI dashboards with zero-maintenance pipeline architecture for sales, brand, and commercial leadership teams. ▸ Full data pipeline development; converted codebase to PEP8 standard; supported DevOps team with database field enhancements.

Innovation Think Tank Finalist at Siemens Healthineers, Nov 2020 - Apr 2021 · 6 mos

ITTCP Siemens Healthineers at Siemens Healthineers, Sep 2020 - May 2021 · 9 mos, Bengaluru, ▸ Selected into national Top 50; designed 3D MRI reconstruction prototype and integrated public health data repository. ▸ Early exposure to medical imaging AI, healthcare data infrastructure, and digital health product thinking.

Education

M.Tech, Biomedical/Medical Engineering, Indian Institute of Technology, Bombay

Bachelor of Technology, Bioengineering and Biomedical Engineering, National Institute of Technology Rourkela

Public links

sanatan-portfolio.site: https://www.sanatan-portfolio.site/