Strand Life Sciences Bioinformatics Engineer Recruitment

Join Strand Life Sciences as a Bioinformatics Engineer in Boston

Ph.D. + 3 yrs industry. Work on scRNA-seq, proteomics, AI/ML, & precision medicine. Apply now!

Are you passionate about leveraging machine learning, AI, and multi-omics to decode the complexities of human biology? Strand Life Sciences is seeking a highly skilled Bioinformatics Engineer to join our translational research team in Boston.

This role sits at the critical intersection of data science, biology, and precision medicine. You won't just run pipelines—you will design predictive molecular signatures, integrate diverse omics layers, and directly influence therapeutic discovery.

What You’ll Work On

  • Multi-Omics Data Integration: Analyze and integrate complex datasets including bulk RNA-seq, single-cell RNA-seq (scRNA-seq), NanoString, microarrays, and proteomics.
  • Biomarker Discovery: Develop robust predictive molecular signatures and novel biomarkers for translational research.
  • Advanced AI/ML Implementation: Apply cutting-edge machine learning, embeddings, and emerging foundation models to biological data.
  • Systems Biology: Perform pathway analysis, cell-type deconvolution, regulatory network inference, and cross-modal data integration.
  • Biological Translation: Translate complex computational outputs into actionable biological and translational insights.
  • Cross-Functional Collaboration: Partner closely with wet-lab biologists, computational scientists, and translational research teams to drive projects forward.

Who We Are Looking For

Requirement Boston-based only (On-site/Hybrid flexibility available).
Education Ph.D. in Bioinformatics, Computational Biology, Genetics, or a related quantitative discipline.
Industry Experience 3+ years of industry experience is a strong plus (post-PhD).
Technical Expertise Proven experience with bulk RNA-seq, scRNA-seq, proteomics, and microarray analysis.
Programming Strong proficiency in R and Python for statistical modeling and pipeline development.
ML/AI Skills Hands-on experience with machine learning models, embeddings, and AI frameworks applied to biological data.
Biological Acumen Deep understanding of pathway analysis, regulatory networks, and cell-type deconvolution.
Mindset Strong curiosity, biological interpretation skills, and the ability to work across emerging technologies and data modalities.

Why Join Strand Life Sciences?

  • Translational Impact: Your work will directly contribute to genomic and precision medicine advancements that impact patients.
  • Cutting-Edge Tech: Work with multi-omics, foundation models, and the latest AI tools in a supportive, intellectually stimulating environment.
  • Collaborative Culture: Join a team that values the synergy between dry-lab (computational) and wet-lab researchers.
  • Boston Biotech Hub: Be based in the heart of the world’s leading biotech ecosystem.

How to Apply

Ready to take your bioinformatics career to the next level? We want to hear from you!

  1. Prepare Your Resume: Update your CV to highlight your multi-omics experience, ML/AI projects, and biological impact.
  2. Compose an Email: Send your resume directly to the hiring team.
  3. Subject Line: Must include: Bioinformatics Engineer (Boston) – Multi-Omics & Computational Biology

📩 Send Your Resume to: sanjana.nayak@strandls.com

Shortlisted candidates will be contacted directly for a technical discussion.