Staff Scientist; Computational - Genomics - Genetics

Staff Scientist (Computational - Genomics) - Genetics

Join the Cremins lab at Washington University in St. Louis to investigate chromatin‑to‑synapse communication in neural circuits. The role focuses on computational analysis of multi‑omics data, algorithm development, and manuscript preparation.

We study how chromatin folding and epigenetic mechanisms govern neuronal specification and synaptic plasticity. The lab integrates chromosome‑conformation capture, single‑cell imaging, and genome engineering to understand healthy and diseased brains.

• Design research protocols and write methods and results for publications.
• Implement and refine computational pipelines to identify TADs, sub‑TADs, loops, compartments, and peaks in Hi‑C, Micro‑C, ChIP‑seq, Cut&Run, Cut&Tag, and single‑cell genomics data.
• Develop new algorithms to analyze single‑cell genomics and imaging data.
• Collaborate with lab members to prepare figures, write methods sections, and submit manuscripts.
• Manage and curate large data sets on the cluster, tracking sequencing runs and sample metadata.
• Run established read‑mapping and peak‑calling pipelines and oversee GEO portal submissions.
• Maintain lab software in Git Hub, perform code reviews, and document changes.
• Lead data migration from base space to the cluster and ensure accurate record keeping.
• Perform other duties as assigned.

• Laboratory environment with potential exposure to biological and chemical hazards.
• Requires wearing protective equipment and basic animal care skills.

Required Qualifications: Master’s degree (or equivalent experience) in computational biology, genomics, or related field. Laboratory operations experience (3 years) preferred.

Preferred Qualifications: Ph.D. in computational biology, genomics, or a related discipline.

Certifications: None required.

• Python programming, command‑line bioinformatics, data analysis, and algorithm development.
• Experience with Hi‑C/Micro‑C data, TAD/loop calling, and 3D genome analyses.
• Knowledge of ChIP‑seq, Cut&Run, Cut&Tag, and single‑cell sequencing platforms.

$48,000 – $86,900 annually (Grade R10)

• Up to 22 days vacation, 10 holidays, and sick time.
• Competitive health insurance with priority appointments.
• Metro U‑Pass, 403(b) retirement plan with 7% university match.
• Wellness programs, mental health resources, and employee assistance program.
• Family leave up to 4 weeks and tuition assistance for family members.

Washington University is committed to equal employment opportunity and encourages applicants from underrepresented groups. All qualified individuals are considered irrespective of race, ethnicity, gender, disability, veteran status, or genetic information.