Home › Companies › NewLimit › Computational Biologist
Computational Biologist
NewLimit · South San Francisco, CA · On Site · Active · $150,000–$200,000 / year · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | NewLimit |
| Title | Computational Biologist |
| Normalized title | - |
| Department / team | Predictive Modeling |
| Location | South San Francisco, CA, United States |
| Work model | On Site |
| Employment type | - |
| Salary | $150,000–$200,000 / year |
| Status | active |
| ATS provider | Greenhouse |
| Posted / first seen | 2026-03-04 / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from NewLimit. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Greenhouse. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in South San Francisco. | Open |
| Department jobs | Active postings in Predictive Modeling. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | NewLimit |
| Source | 6337aa4d-1491-4c2f-aec8-fde152115456 |
| ATS provider | Greenhouse |
Description
About NewLimit
NewLimit is a biotechnology company working to radically extend human healthspan. We’re developing medicines to treat age-related diseases by reprogramming the epigenome, a new therapeutic mechanism to restore regenerative potential in aged and diseased cells. We leverage functional genomics, pooled perturbation screening, and machine learning models to unravel the biology of epigenetic aging and disease using experiments of unprecedented scale.
Description
NewLimit is seeking a Computational Biologist to join our Predict team. In this role, you will develop, improve, and operate bioinformatics pipelines supporting large-scale single-cell perturbation screens. Success in this position requires a deep attention to methodological detail at every stage of the analysis, as well as careful measurement and evaluation of pipeline performance.
You will work closely with experimentalists and computational scientists to maintain core infrastructure, assess emerging analysis tools, and build robust software solutions that improve efficiency, scalability, and reliability.
As a member of our team, you will:
Collaborate with Write, Read, and Predict teams to support the design, execution, and interpretation of experiments using single-cell and multi-omics data
Contribute to the development and implementation of primary and secondary analysis software.
Improve and run production pipelines for large-scale single-cell perturbation screens to ensure timely and reliable data delivery
Contribute to the development of reproducible, well-documented computational workflows and internal best practices
Develop microservice web applications and integrations that reduce wet lab manual effort and improve data flow between teams
Requirements
Bachelor’s, Master's, or PhD in Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related technical field
Experience analyzing and interpreting single-cell or multi-omics datasets (e.g., scRNA-seq, multiome, scATAC-seq), with hands-on exposure to perturbation screens preferred
Familiarity with core single-cell bioinformatics workflows, including demultiplexing, alignment, and quality control
Strong software engineering fundamentals and experience working with bioinformatics tools and pipelines
Working knowledge of statistical and machine learning methods applied to biological data (e.g. regression analysis, supervised learning) sufficient to critically evaluate analytical choices and interpret results conceptually
Nice to haves
Proficiency with Python-based data science tools (NumPy, SciPy, Pandas)
Experience with cloud computing environments (AWS, GCP, or Azure)
Strong Python programming skills and comfort working in Unix-based environments
Experience with containerized workflows (Docker, Singularity)
Familiarity with molecular biology workflows and experimental genomics
Benefits
Health, dental, and vision insurance
401(k) with company match
Industry-leading paid time off (PTO) -- 20 days/year for all employees + holidays
Paid parental leave
Meals and snacks on-site
Salary Range: $150,000 to $200,000+. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. NewLimit offers a competitive benefits package, which includes a 401k, healthcare coverage, and 20 days of PTO. Learn more at: https://www.newlimit.com/careers *This compensation and benefits information is based on Company's good faith estimate as of the date of publication and may be modified in the future.
Full job record
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| Org ID | e1f8f50d-880a-429a-83dc-4cc7ab9ae986 |
| Source ID | 6337aa4d-1491-4c2f-aec8-fde152115456 |
| Board ID | 6337aa4d-1491-4c2f-aec8-fde152115456 |
| Provider | greenhouse |
| Provider Job Key | 5819398004 |
| Title | Computational Biologist |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | South San Francisco, CA |
| Department | Predictive Modeling |
| Team | — |
| Employment Type | — |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | CA |
| City | South San Francisco |
| Salary Raw | Salary Range: $150,000 to $200,000+ |
| Salary Min | 150,000 |
| Salary Max | 200,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://job-boards.greenhouse.io/newlimit/jobs/5819398004 |
| Apply URL | https://job-boards.greenhouse.io/newlimit/jobs/5819398004 |
| First Seen At | 2026-05-29 22:59:24Z |
| Last Seen At | 2026-06-06 20:32:54Z |
| Last Checked At | 2026-06-06 20:32:54Z |
| Last Changed At | 2026-05-29 22:59:24Z |
| Inactive At | — |
| Source Posted At | 2026-03-04 20:51:01Z |
| Source Updated At | 2026-05-26 21:30:32Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=newlimit/date=2026-06-06/2026-06-06T20-32-54-007Z-6c1866b4f7feeb97b0e14321f80c60e4656659f0474f47749fd209597a2eb68a.json |
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