Senior Data Scientist

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.

Core duties
* 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.

MINIMUM REQUIREMENTS

Education: Master's degree required. PhD preferred.
Experience: 5-10 years relevant experience.
Licensure: None required

TO APPLY

PROCESS FOR INTERNAL UVA APPLICANTS: Please apply through your Workday Home page, search "Find Jobs", and search for "R0072449"

PROCESS FOR EXTERNAL APPLICANTS: Please APPLY HERE

Complete an application online and attach:

* CV/Resume

* Cover Letter detailing your interest in this position

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

Please note that you MUST upload ALL required documents. Applications that do not contain ALL of the required documents will not receive full consideration.

For questions about the application process, please contact Eric Allen, Academic Recruiter, at uth9qh@virginia.edu. For Questions regarding the position, please contact Dr. Gloria Sheynkman at gs9yr@virginia.edu

PHYSICAL DEMANDS

This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.

The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Click here to read more about UVA's commitment to non-discrimination and equal opportunity employment.