Headline

Science@Ultrahuman | Healthcare Data Analyst & Health Research Analyst | Clinical Data Harmonisation | OMOP CDM · LOINC · SNOMED | R · Python · SQL

About

I work at the intersection of rigorous health research and production-grade clinical data engineering. At the Centre for Brain Research (IISc), I led the data harmonization and statistical analysis for the health data arm of India's largest population genomics cohort, the GenomeIndia Project, so far: 17,000+ subjects across 13 collection sites and 80+ population groups. I designed automated ETL pipelines in R, which processed heterogeneous multi-site data (CSV, PDF, Excel), enforced validation rules, and produced analysis-ready datasets spanning health, sociodemographic and anthropometric measurement verticals. The resulting study characterizes metabolic disorder prevalence and health-seeking disparities across demographic and geographic strata, which I co-first authored. This was India's first study to look at the population-group scale across the country. The phenotypic visualisation dashboard I built in R Shiny is publicly hosted on India's national biological data infrastructure (IBDC/DBT). On the data standards side, I am currently implementing an OMOP CDM pipeline on NHANES 2017–20 data: mapping clinical variables to LOINC and SNOMED vocabularies via Athena, defining ICD-10-aligned phenotypes for hypertension and cardio-metabolic risk stratification, and documenting every Concept ID mapping decision for full auditability. Core competencies: health data harmonization, multi-site ETL pipeline development, cohort analysis, biostatistics (regression, hypothesis testing, survival analysis), observational study design, and reproducible analytical workflows in R. Background in population genomics: GenomeIndia cohort, co-author in Nature Genetics (2025) and the GenomeIndia flagship manuscript (preprint on medrXiv), informs my approach to multi-ethnic cohort design and phenotype-driven research at scale. Open to: healthcare data analyst, population health analyst, health research analyst, and clinical data analyst roles in Bengaluru (hybrid or in-office) or fully remote within India. Also open to health research positions with analytical components at research institutions, public health organisations, and global health bodies.

Location

Bengaluru

AI stack

claude code

claude

codex

gemini

notion

Work experience

Associate - Research Operations, Partnerships and Analytics at Ultrahuman, Jul 2026 - Present · 3 mos

Research And Development Intern at Ultrahuman, Apr 2026 - Jul 2026 · 4 mos

Project Assistant/Health Data Analyst at Centre for Brain Research (CBR) IISc, Sep 2023 - Mar 2026 · 2 yrs 7 mos, Bengaluru, Karnataka, India, PI: Dr Shweta Ramdas, Centre for Brain Research, IISc - Designed and maintained automated ETL pipelines in R to clean and harmonize multi-site clinical data (13 sites, 17,000+ subjects; heterogeneous inputs: CSV, PDF, Excel), standardizing variables, resolving cross-site inconsistencies, and enforcing data validation rules to produce an analysis-ready dataset which is India's largest ethno-linguistic community based health dataset. - Led the statistical analysis of this dataset: applied regression modelling, hypothesis testing, and cohort analytics to characterize metabolic syndrome prevalence, cardio-metabolic risk, and health-seeking disparities across demographic and geographic strata; co-first author on the resulting manuscript (medRxiv preprint) - Applied systematic phenotype classification frameworks to standardise metabolic condition definitions (hypertension, dyslipidaemia, type 2 diabetes) across a diverse multi-ethnic cohort — analogous to ICD-10-based clinical coding in observational research pipelines - Designed and deployed a production phenotypic data visualization dashboard in R Shiny, publicly hosted by India's national biological data infrastructure (IBDC/DBT): ibdc.dbt.gov.in/gipheno - Conducted end-to-end variant curation and genomic analysis for a long-read whole-genome sequencing study of non-syndromic childhood autism in India; co-author on resulting publication (BMC Medical Genomics, in collaboration with FRIGE, Ahmedabad)

Academic Content Creation Intern at Xpress Minds, Mar 2023 - Sep 2023 · 7 mos, Remote, I created content for one of India's premier spelling bee events hosted by Zee Media.

Academic content creation at Xpress Minds, Apr 2022 - Mar 2023 · 1 yr, I created content in the form of questions and answers, from textbooks of various classes (4-12), for all subjects.

BS-MS Masters research project at Indian association for the cultivation of science, Sep 2021 - May 2023 · 1 yr 9 mos, Kolkata, West Bengal, India, Masters research project supervised by Prof. Deepak Kumar Sinha, IACS. Standardized lipid extraction and quantification protocols for the zebrafish embryo across early developmental stages. Through quantitative analysis (in R and Origin) of the lipid datasets obtained for these developmental stages, that pharmacological inhibition of lipase activity significantly impairs embryonic survival and growth.

Content Writer at Xpress Minds, Jul 2021 - Dec 2021 · 6 mos, Work from home

Education

BS-MS, Biology, Indian association for the Cultivation of Science

Higher secondary, General, St. Agnes school

Public links

github: https://github.com/mdebasrija