Lead applied and translational omics analyses that turn complex biological data into clear decisions.
Work with experimental scientists, data engineers, and clinical teams to design analyses and integrate multi-omic and clinical data.
Design and run reproducible analyses of genomic, transcriptomic, proteomic and other omics datasets.
Integrate multi-omic and clinical data to prioritize targets, nominate biomarkers, and define patient subgroups.
Build, validate and productionize analysis pipelines and tools that support cross-functional teams.
Communicate results clearly and make practical recommendations to project teams and decision-makers.
Collaborate with laboratory and clinical colleagues to design analyses that guide experiments and studies.

Requirements

Advanced degree (Master's with relevant experience or PhD preferred) in computational biology, bioinformatics, genetics, biostatistics, or related field.
Programming experience in R and/or Python for data analysis and scripting.
Experience processing and analyzing large omics datasets, including quality control and normalization.
Experience with common genomics file formats and tools (for example VCF, BAM/FASTQ, single-cell data structures).
Experience reproducible analyses and use of version control (for example Git).
1+ years of experience with single-cell and spatial omics analysis workflows.

Benefits

health care and other insurance benefits (for employee and family)
retirement benefits
paid holidays
vacation
paid caregiver/parental and medical leave

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysisscriptinggenomic analysistranscriptomic analysisproteomic analysisquality controlnormalizationsingle-cell analysisspatial omics analysisversion control

Soft Skills

communicationcollaborationdecision-makingrecommendation

Certifications

Master's degreePhD