Computational Scientist
South San Francisco, CAContract / Full-timeSeen todaySeen in employer's feed today
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Job overview
The Computational Scientist will train and evaluate models using a large multimodal perturbation dataset generated by the Regev lab. The work will characterize how dataset portions contribute to model learning and compare model performance and outputs against experimental data. This full-time, 12-month contract includes a defined workstream, collaboration with the project lead, and access to an established analysis codebase and cluster compute.
Skills & qualifications
Skills
Qualifications
Full job description
Job Title: Computational Scientist
Job Location: South San Francisco, California, 94080 (Onsite)
Contract Duration: 12 months with possible extension
Key Responsibilities:
Multimodal perturbation datasets are becoming increasingly large and available, and understanding which data contribute most to model performance is an increasingly important question.
The Regev lab has generated a large multimodal perturbation dataset.
The contractor will train and evaluate models on this data to characterize how different portions of the dataset contribute to model learning, and will evaluate model performance and model outputs against experimental data.
Contract Highlights:
Full time, 40 hours per week, for an initial term of 12-months.
Ownership of a clearly scoped, business-critical workstream with defined deliverables.
Direct collaboration with the project lead and access to an established, documented analysis codebase and cluster compute.
Work with some of the most talented people in the biotechnology industry.
Required Education:
PhD in a computational discipline, or equivalent research experience
Preferred majors: Computational Biology, Computational Sciences, Statistics or Machine Learning
Required skills:
Training and evaluating deep learning models in PyTorch, including designing and executing controlled train/test split experiments on a SLURM cluster.
Strong applied statistics
Proficient scientific Python (numpy, pandas, scanpy/anndata) and reproducible, documented analysis practice.
Preferred Qualifications:
Experience with single-cell transcriptomics
Experience with analysis of CRISPR perturbation screens (perturb-seq or similar).
Familiarity with representation learning
Familiarity with image analysis
Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.
How this job compares
Set against the 2,174 open Machine Learning jobs on Olive Jobs, counted November 3, 2026.
- Pay
- This postingNot listed
- California median$193–286K/yr348 salary ranges
- California median$60–70/hr33 hourly ranges
- Openings
- Olive Jobs lists 493 open Machine Learning jobs in California and 2,174 across the US. 7% of them nationwide are listed as remote or flexible.
- Experience
- Machine Learning postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 8 years (1,632 postings).
- Education
- 787 of the 2,174 open Machine Learning jobs (36%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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