Senior Computational Biologist – Single-Cell Genomics & Machine Learning

Recruits Lab; New York (NY); Hybrid; USD 145,000 - 175,000; Full time

Benefits offered by this job

Equity participation

Medical, dental, and vision insurance

401(k) and retirement benefits

Paid parental leave

Job summary

Recruits Lab is partnering with an innovative, AI-driven biotechnology company transforming drug discovery through single-cell biology, multi-omics, and machine learning. A Senior Computational Biologist will lead cutting-edge research, analyze complex datasets, and collaborate with pharmaceutical, biotechnology, and academic partners to advance discoveries.

The role emphasizes leadership in computational projects, strong bioinformatics and ML skills, and effective communication of findings to

Qualifications

• PhD in Computational Biology, Bioinformatics, Systems Biology or related field with 2 years postdoc, or MSc with 6 years 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 publications and/or demonstrated industry project leadership.

Responsibilities

• 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.

Skills

Python

R

scRNA-seq

Multi-omics

Machine learning

Immunology

Leadership

Scientific communication

Publications

Education

PhD + 2y postdoc

MSc + 6y experience

Job description

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

About the Opportunity

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.

Key Responsibilities

• 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.

Compensation & Benefits

• 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.