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Senior Computational Biologist - Single-Cell Genomics & Machine Learning

  • Senior Computational Biologist - Single-Cell Genomics & Machine Learning job type Posted on: Nov 09, 2026
  • Senior Computational Biologist - Single-Cell Genomics & Machine Learning experience level Recruits Lab
  • Senior Computational Biologist - Single-Cell Genomics & Machine Learning employment type New York, New York
  • Senior Computational Biologist - Single-Cell Genomics & Machine Learning salary Salary: $175,000 per year
  • Senior Computational Biologist - Single-Cell Genomics & Machine Learning employment type Onsite
  • Senior Computational Biologist - Single-Cell Genomics & Machine Learning salary Full-time

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Job Title :

Senior Computational Biologist - Single-Cell Genomics & Machine Learning

Job Type :

Full-Time

Job Location :

New York New York United States

Remote :

No

Jobcon Logo Job Description :

Senior Computational Biologist – Single-Cell Genomics & Machine LearningLocation: New York City, NY (Hybrid)Compensation: $145,000–$175,000 Base + EquityEmployment: Full-TimeIndustry: Biotechnology | AI-Driven Drug DiscoveryAbout the OpportunityRecruits 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 3-6 years of postdoctoral or industry 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. ApplyInterested candidates should submit their resume through Recruits Lab for confidential consideration.Qualified applicants will receive additional details about the opportunity during the screening process.#LI-DN1

Jobcon Logo Position Details

Posted:

Nov 09, 2026

Reference Number:

20969_360120-151-41395

Employment:

Full-time

Salary:

$175,000 per year

City:

New York

Job Origin:

APPCAST_CPA

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Senior Computational Biologist – Single-Cell Genomics & Machine LearningLocation: New York City, NY (Hybrid)Compensation: $145,000–$175,000 Base + EquityEmployment: Full-TimeIndustry: Biotechnology | AI-Driven Drug DiscoveryAbout the OpportunityRecruits 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 3-6 years of postdoctoral or industry 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. ApplyInterested candidates should submit their resume through Recruits Lab for confidential consideration.Qualified applicants will receive additional details about the opportunity during the screening process.#LI-DN1

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