Post Doctoral Scientist – Human Genomics, Translational Data Science

This is a fully remote position, open to applicants in India.

📋 Description

• Employ **statistical and computational techniques** to evaluate WGS/WES, proteomics, metabolomics, and clinical data for the purpose of biomarker identification.

• Perform comprehensive analyses of **large-scale population cohorts and biobank datasets** to uncover genetic variants and causal genes linked to disease outcomes.

• Create and execute **machine learning and bioinformatics workflows** to amalgamate multi-omics data.

• Collaborate with multidisciplinary teams, including **geneticists, epidemiologists, and clinicians**, to interpret results and inform therapeutic advancements.

• Draft **scientific reports, presentations, and publications** that detail research findings.

• Assist in the innovation of **new statistical techniques** for the analysis of high-dimensional biological data.

⛳️ Requirements

• PhD in statistical genetics, bioinformatics, computational biology, biostatistics, or a related quantitative discipline.

• Applicants must be eligible to work in the United States on a full-time basis.

• **Additional Skills/Preferences**

• Proficiency in **whole genome and whole exome sequencing analysis, proteomics, metabolomics, and other molecular data analysis, as well as research on clinical outcomes**.

• Strong capabilities in **statistical modeling, machine learning, and analysis of high-dimensional data**.

• Experience with **large biobank and cohort datasets** (e.g., UK Biobank, All of Us, FinnGen).

• Proficiency in **programming languages such as R, Python, and SQL** for data analysis.

• Familiarity with **genetic association studies, GWAS, and polygenic risk scores**.

• Excellent **communication and interpersonal skills** to effectively collaborate within cross-functional teams.

• Experience in **pharmaceutical or biotech industry environments**.

• Knowledge of **functional genomics and multi-omics data integration**.

• Strong **publication record** showcasing contributions to statistical genetics and biomarker discovery and analysis.

• Prior experience in cardiometabolic research.

• Prior experience with polygenic risk score models.

🏝️ Benefits

• **Attractive, market-leading salary package.**

• **Clear career advancement path with professional development opportunities.**