Junior Computational Biologist (Remote)
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 quantified 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 focus on benchmarking functional scoring methodologies and improving interpretability of high-dimensional transcriptomic datasets. The selected candidate will contribute to distinguishing true biological signal from technical variation in large-scale 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 methods.
- reputed company or refine computational methods 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 well-organized code.
- Ability to reputed company communicate reputed company computational concepts to interdisciplinary scientific teams.
- Master’s degree with ongoing PhD pursuit, 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-scale biological datasets.
- Demonstrated ability to build or reputed company novel bioinformatics pipelines.INDBH#LI-MG1
We are an equal opportunity employer and reputed company reputed company applicants will receive consideration for employment without regard to race, reputed company, religion, sex, national reputed company, disability status, protected veteran status, or any other characteristic protected by law. Apply tot his job Apply To this Job