Computational Scientist: Multiomics & Epigenetics

Switchpoint Bio; Boston (MA); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

401k with matching

Generous paid time off

Disability insurance

Job summary

Switchpoint Bio is building computational pipelines to integrate genomics, epigenomics, transcriptomics, and proteomics with biobank cohorts and exposure data to uncover disease mechanisms and guide drug discovery. You will lead biological interpretation, design robust analyses, and work closely with ML scientists to turn molecular signals into actionable evidence.

You will collaborate with wet-lab and clinical teams, shape study design, and drive the translation of high-dimensional data into

Qualifications

• PhD in genomics, epigenomics, or a related field with a strong publication record.
• Hands-on multiomics data experience including single-cell or biobank-scale data.
• Ability to design and interpret integrative analyses across data modalities.
• Strong quantitative skills and proficiency in Python or R.
• Excellent cross-disciplinary communication in English.

Responsibilities

• Design and lead multimodal data integration analyses combining genomics, epigenomics, transcriptomics, and proteomics with cohorts and exposure data.
• Provide biological interpretation and validation to connect signals to mechanisms and disease pathways.
• Collaborate with ML scientists to translate scientific questions into models and evaluative metrics.
• Shape study design, ground truth, and validation to ensure biologically meaningful results.
• Partner with wet-lab and clinical collaborators to ensure data is analyzable and relevant to questions.

Skills

Multiomics

Data integration

Independent scientific judgment

Python or R

Clear communication

English fluency

Collaborative work

Education

PhD in relevant field

Tools

Python

R

Bioconductor

Job description

Switchpoint Bio is building computational pipelines to integrate genomics, epigenomics, transcriptomics, and proteomics with biobank cohorts and exposure data to uncover disease mechanisms and guide drug discovery. You will lead biological interpretation, design robust analyses, and work closely with ML scientists to turn molecular signals into actionable evidence.

You will collaborate with wet-lab and clinical teams, shape study design, and drive the translation of high-dimensional data into