Senior Computational Biologist – Single-Cell Genomics & Machine Learning

Senior Computational Biologist — Single-Cell Genomics & Machine Learning

Location:

New York City, NY (Hybrid)

Compensation: $145,000–$175,000 Base Equity

Employment:
Full-Time

Industry: Biotechnology | AI-Driven Drug Discovery

Recruits Lab is partnering with an innovative, AI-driven biotechnology company transforming drug discovery through single-cell biology, multi-omics, and machine learning.

We’re seeking a Senior Computational Biologist to lead cutting-edge research initiatives, analyze complex biological datasets, and collaborate with pharmaceutical, biotechnology, and academic partners to advance discoveries in immuno-oncology and autoimmune diseases.

• Lead computational biology projects involving single-cell and multi-omics datasets.
• Develop and implement advanced bioinformatics and machine learning approaches.
• Analyze transcriptomic datasets to identify meaningful biological insights.
• Collaborate with multidisciplinary scientific and technical teams.
• Lead research projects involving external pharmaceutical and academic collaborators.
• Present complex scientific findings through reports, visualizations, and presentations.
• Apply emerging AI technologies, including LLM-based tools, to accelerate research workflows.

• PhD in Computational Biology, Bioinformatics, Systems Biology, or a related discipline with 2 years of postdoctoral experience; or MSc with 6 years of relevant experience.
• Strong expertise in single-cell RNA sequencing (scRNA-seq), transcriptomics, and multi-omics analysis.
• Advanced programming skills in Python and/or R.
• Experience applying machine learning to biological datasets.
• Research experience in immunology, immuno-oncology, or autoimmune diseases.
• Demonstrated ability to lead complex computational research projects.
• Strong scientific communication and stakeholder collaboration skills.
• First-author scientific publications and/or demonstrated industry project leadership.

• Experience with CAR-T biology or cancer immunotherapy.
• Experience collaborating with pharmaceutical or biotechnology partners.
• Familiarity with AI/LLM applications in computational biology.
• Experience working with large-scale biological datasets.

• Competitive base salary: $145,000–$175,000, with flexibility based on experience.
• Equity participation.
• Medical, dental, and vision insurance.
• 401(k) and additional retirement benefits.
• Paid parental leave.
• Professional growth in a research-driven biotechnology environment.