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HomeCompaniesNewLimitComputational Biologist

Computational Biologist

NewLimit · South San Francisco, CA · On Site · Active · $150,000–$200,000 / year · Greenhouse

Job facts

FieldValue
CompanyNewLimit
TitleComputational Biologist
Normalized title-
Department / teamPredictive Modeling
LocationSouth San Francisco, CA, United States
Work modelOn Site
Employment type-
Salary$150,000–$200,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-03-04 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from NewLimit.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in South San Francisco.Open
Department jobsActive postings in Predictive Modeling.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyNewLimit
Source6337aa4d-1491-4c2f-aec8-fde152115456
ATS providerGreenhouse

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

Job ID12d4d97cef2abaa52784f10aa44b6996c41492db
Org IDe1f8f50d-880a-429a-83dc-4cc7ab9ae986
Source ID6337aa4d-1491-4c2f-aec8-fde152115456
Board ID6337aa4d-1491-4c2f-aec8-fde152115456
Providergreenhouse
Provider Job Key5819398004
TitleComputational Biologist
Normalized Title
Statusactive
Activeyes
Location TextSouth San Francisco, CA
DepartmentPredictive Modeling
Team
Employment Type
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionCA
CitySouth San Francisco
Salary RawSalary Range: $150,000 to $200,000+
Salary Min150,000
Salary Max200,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/newlimit/jobs/5819398004
Apply URLhttps://job-boards.greenhouse.io/newlimit/jobs/5819398004
First Seen At2026-05-29 22:59:24Z
Last Seen At2026-06-06 20:32:54Z
Last Checked At2026-06-06 20:32:54Z
Last Changed At2026-05-29 22:59:24Z
Inactive At
Source Posted At2026-03-04 20:51:01Z
Source Updated At2026-05-26 21:30:32Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=newlimit/date=2026-06-06/2026-06-06T20-32-54-007Z-6c1866b4f7feeb97b0e14321f80c60e4656659f0474f47749fd209597a2eb68a.json
Event Fields
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  "last_changed_at": "2026-05-29T22:59:24.057Z",
  "active_status": "active"
}
Parsed Structured
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  "salary_period": "year",
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  "salary_currency": "USD"
}
Extensions
{}
Native Structured
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