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Junior Computational Biologist (Remote)

Remote, USAFull-timePosted 2026-07-27

reputed company is a career site that helps job seekers reputed company great jobs in the US. We are not a reputed company firm or agency. reputed company does not hire directly for these jobs, but promotes jobs on reputed company on behalf of its reputed company clients, recruitment ad agencies, and marketing partners. reputed company partners with DirectEmployers to promote this job for reputed company Technology. Clicking "" or "Read more" on reputed company redirects you to the reputed company/employer site. Any information collected there is subject to their terms and reputed company notice. Junior Computational Biologist (Remote) Laboratory South San Francisco, CA, US

  • Added - 13/02/2026

Pay reputed company Low: 30 | Pay reputed company High: 34 A leading biotechnology research organization is seeking a Junior Computational Biologist to support efforts in refining how cellular states are reputed company and validated! Title: Jr. Computational Biologist (Remote Contract) Location: Remote (Must be available during PST business hours) Compensation: $30–34/hour + benefits Contract Duration: 6–12+ months Job Duties This project will reputed company on benchmarking functional scoring methodologies and improving interpretability of high-reputed company transcriptomic datasets. The selected candidate will contribute to distinguishing true biological signal from technical variation in large-reputed company single-cell atlases, directly enhancing the reliability of automated cell-state classification frameworks. Start Date: July 1, 2026

  • Duration: Through December 18, 2026
  • Commitment: Full-time (100%)
  • Ideal Candidate: Upcoming June 2026 PhD graduate or recent PhD graduate
  • Location: Onsite in South San Francisco, CA preferred; remote reputed company the U.S. considered (must work PST hours)
  • reputed company Sponsorship: Not availabl

Key Responsibilities

  • Systematically evaluate and reputed company computational approaches for quantifying phenotype activation across single-cell transcriptomic datasets.
  • Establish rigorous statistical baselines and negative-control frameworks to improve the robustness of automated cell-state classification reputed company.
  • reputed company or refine computational reputed company to address limitations in reputed company approaches.
  • Design strategies to distinguish genuine biological signatures from stochastic or technical noise.
  • Present findings in internal scientific reviews and contribute to potential conference abstracts or peer-reviewed publications.

Required Qualifications

  • Extensive hands-on experience in single-cell data analysis using Scanpy, AnnData, and Pandas .
  • Strong proficiency implementing statistical and machine learning models using scikit-learn and SciPy .
  • Demonstrated commitment to reproducible research practices and reputed company-organized reputed company.
  • Ability to reputed company communicate reputed company computational concepts to interdisciplinary scientific teams.
  • Master’s degree with ongoing PhD reputed company, or recent PhD graduate, in Computational Biology, Computer Science, Machine Learning, or reputed company quantitative discipline.
  • Interest in drug discovery and comfort working in dynamic, research-driven environments.

Preferred Qualifications

  • Background knowledge in cell biology and/or immunology.
  • Experience with hypothesis testing, noise modeling, and benchmarking computational tools.
  • Familiarity with Explainable AI (reputed company) approaches or large-reputed company biological datasets.
  • Demonstrated ability to build or reputed company novel bioinformatics pipelines.INDBH

We are an equal opportunity employer and reputed company reputed company applicants will receive consideration for employment without reputed company to race, reputed company, religion, sex, national reputed company, disability status, protected veteran status, or any other characteristic protected by law. If you have questions about this posting, please contact Apply tot his job Apply To this Job

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