Senior Data Scientist

UVA Health System • Newcomb Hall, VA

232d • $93,156 - $186,311

About The Position

The Sheynkman Laboratory seeks a senior-level data scientist to drive integrative analytics at the interface of alternative splicing biology, long-read RNA sequencing, splicing-QTL discovery and proteoform characterization. You will collaborate closely with faculty, post-docs and students to convert complex multi-omics data into actionable insights and predictive models that illuminate isoform-specific disease mechanisms.

Requirements

• Master's degree required; PhD preferred.
• 5-10 years relevant experience.

Responsibilities

• Act as analytics thought-leader from scope definition through deployment: data acquisition, preparation, modelling, evaluation and reporting.
• Build and maintain statistical / machine-learning pipelines (Python / R; Snakemake/Nextflow) for long-read transcriptome assembly, sQTL fine-mapping (SuSiE, Leafcutter) and proteogenomic isoform detection.
• Integrate disparate datasets (PacBio/ONT, Illumina, Orbitrap MS, CRISPR screens) to uncover novel correlations and develop predictive models of isoform function.
• Visualize findings in dashboards and bespoke figures for faculty and external stakeholders; deliver routine and ad-hoc reports that guide experimental design and resource allocation.
• Provide methodological guidance and informal training to junior analysts and wet-lab scientists; champion reproducible research and FAIR data principles.
• Contribute to grant proposals, manuscripts, and open-source software released by the lab.

Benefits

• Salary range: 93,156.00 - 186,311.00 USD Annual

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Hospitals
• Education Level: Master's degree