Senior Computational Biologist – Epigenomics & Diagnostics

Precede; Boston (MA); On-site; USD 125,000 - 175,000; Full time

Benefits offered by this job

Performance bonuses

Equity participation

Comprehensive health benefits

Job summary

Precede Biosciences in Boston seeks a computational biology scientist to formulate methods and perform interpretative analyses across biopharma R&D and diagnostics, in a fast-paced, early-stage environment. You will blend biological insights with computational techniques to develop predictive models with clinical applications and lead projects bridging biology and computation to drive diagnostics.

You will analyze epigenomic data with a team of computational biologists to refine clinical impact.

Qualifications

• Experience in computational analyses of the epigenome to weave a compelling biological narrative.
• Strong presentation skills for group settings.
• Role will be set commensurate with experience; all levels invited.
• Thrives in fast-paced startup culture with adaptive feedback.
• Comfortable with multidisciplinary, cross-functional teams.

Responsibilities

• Blend biological insights with computational techniques to develop predictive models with clinical applications.
• Lead projects that bridge biology with computational analyses to drive diagnostics.
• Analyze novel epigenomic data with a team of computational biologists and assess clinical impact.
• Explore disease areas to produce biologically informed analyses with significant endpoints.
• Create novel classifiers with diagnostic relevance for clinical use.
• Collaborate with clinical, translational, computational, and product teams to enable diagnostics.

Skills

R (Bioconductor)

Python

Job description

Precede Biosciences in Boston seeks a computational biology scientist to formulate methods and perform interpretative analyses across biopharma R&D and diagnostics, in a fast-paced, early-stage environment. You will blend biological insights with computational techniques to develop predictive models with clinical applications and lead projects bridging biology and computation to drive diagnostics.

You will analyze epigenomic data with a team of computational biologists to refine clinical impact.