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

Professional growth in biotech

Job summary

Recruits Lab in New York City, NY, is seeking a Senior Computational Biologist specializing in single-cell genomics and machine learning. You will lead analyses of complex datasets, drive cross-disciplinary collaborations, and guide immunology/immuno-oncology projects in an AI-driven biotech setting.

The role requires a PhD or MSc with extensive postdoctoral/industry experience, expertise in scRNA-seq and multi-omics, and strong Python/R programming with ML applications.

Qualifications

• PhD in Computational Biology, Bioinformatics, Systems Biology, or a related discipline with 2+ years of postdoctoral experience
• Strong expertise in scRNA-seq and multi-omics analysis
• Advanced programming in Python and/or R
• Experience applying ML to biological datasets
• Research experience in immunology or immuno-oncology
• Lead complex computational research projects
• First-author publications or demonstrated industry 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 with external pharmaceutical and academic collaborators
• Present complex scientific findings through reports and visualizations
• Apply AI technologies, including LLM-based tools, to accelerate workflows

Skills

scRNA-seq

Transcriptomics

Multi-omics

Python

R

Machine learning

Publications

Project leadership

Communication

Education

PhD in Computational Biology, Bioinformatics, Systems Biology, or related

MSc with 6+ years of relevant experience

Job description

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

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.
• 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.