Research Scientist
University of Virginia · Charlottesville, VA · 3 wk ago
OTHRFull-time
Position Summary
The Laboratory of Proteoform Medicine in the Department of Molecular Physiology and Biological Physics and the UVA Comprehensive Cancer Center is seeking a research scientist to lead a functional genomics program at the intersection of genetic screening, molecular biology, and multi-omics. The successful candidate will be a strong, versatile experimentalist and analyst who can design and run genetic perturbation screens, drive molecular biology and cell-based work, and generate and interpret omics data, particularly long-read RNA sequencing and mass spectrometry-based proteomics, alongside single-cell sequencing.
Key Responsibilities
- Design and execute pooled and arrayed CRISPR screens (Cas9, Cas13, CRISPRi/a as appropriate) including library design and cloning, lentiviral production, transduction, selection, and NGS readout.
- Develop and optimize gene perturbation approaches (knockout, knockdown, CRISPRi/a, and RNA-targeting Cas13 where isoform-level resolution is needed) in mammalian cell systems, including cancer cell lines and iPSC-derived models where applicable.
- Generate, process, and integrate multi-omics data — long-read RNA sequencing, mass spectrometry-based proteomics, and single-cell sequencing — and connect these readouts with screen and perturbation outputs through robust experimental and computational pipelines.
- Contribute to and lead molecular cloning workflows: guide library construction, vector design, plasmid prep, and verification by NGS.
- Mentor graduate students, postdocs, and research staff on functional genomics methods; help establish and document lab SOPs.
- Lead writing of methods, manuscripts, and contribute to grant applications (NIH, foundation); present at lab meetings, departmental seminars, and external conferences.
- Coordinate with collaborators across UVA and external partners on shared screening efforts.
Required Qualifications
- Ph.D. in molecular biology, genetics, biochemistry, biomedical engineering, computational biology, or a related field, with 3+ years of postdoctoral or equivalent independent research experience for the senior level (adjust per UVA classification).
- Demonstrated, hands-on experience with genetic screening in mammalian cells — designing and executing pooled and/or arrayed CRISPR screens, or comparable functional-genomics screens — ideally evidenced by a first- or co-first-author publication or preprint.
- Strong, hands-on molecular biology and cloning skills: vector design, Gibson/Golden Gate assembly, library construction (including sgRNA libraries), and plasmid validation.
- Expertise in mammalian cell culture, including lentiviral packaging, titration, transduction, and stable line generation.
- Strong NGS skills: sample prep (amplicon, RNA-seq, scRNA-seq library prep), QC, and familiarity with Illumina platforms.
- Experience generating and/or analyzing omics data — for example bulk or single-cell RNA-seq — together with the aptitude and interest to work fluently with long-read RNA sequencing and mass spectrometry-based proteomics data.
- Solid bioinformatics ability — comfortable on an HPC, scripting in Python and/or R, running standard analysis pipelines (CRISPR screens, RNA-seq, and related omics workflows), and analyzing results independently rather than waiting on a bioinformatics collaborator.
- Strong written and verbal scientific communication; record of published peer-reviewed work.
- Ability to plan independently, manage parallel projects, and mentor more junior team members.
Preferred Qualifications
- Direct experience with Cas13 (Cas13d, RfxCas13d, Cas13bt, etc.), including guide design for RNA targeting, knockdown validation, and trans-cleavage considerations.
- Hands-on experience with single-cell genomics and perturbation platforms (e.g., 10x Genomics scRNA-seq, Perturb-seq, CROP-seq, ECCITE-seq) — including sample prep, library construction, and downstream demultiplexing/analysis using established frameworks. Single-cell is the primary readout for our screens, so prior experience here will accelerate ramp-up significantly.
- Familiarity with iPSC culture and differentiation, or with primary patient-derived models.
- A strong plus: knowledge of alternative splicing and genetics, and a background or active interest in isoform biology, proteogenomics, or protein/proteoform-level biology — including any experience with mass spectrometry-based proteomics, long-read RNA sequencing (PacBio Iso-Seq/Kinnex, Oxford Nanopore), or top-down proteomics.
- Experience with high-content imaging, flow cytometry-based screen readouts, or FACS sorting for screens.
- Track record of mentorship, training, or formal teaching.
- Experience contributing to grant applications, technical reports, or consortium-level deliverables.