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Bioinformatics Software Engineer​/Analyst

Job in South San Francisco, San Mateo County, California, 94083, USA
Listing for: NewLimit
Full Time position
Listed on 2026-01-16
Job specializations:
  • Software Development
    Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 175000 USD Yearly USD 125000.00 175000.00 YEAR
Job Description & How to Apply Below
Position: Bioinformatics Software Engineer / Analyst

Bioinformatics Software Engineer / Analyst

Join to apply for the Bioinformatics Software Engineer / Analyst role at New Limit

About New Limit

New Limit 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

New Limit is seeking a Bioinformatics Software Engineer / Analyst 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 in Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related technical field, or equivalent industry experience
  • Experience analyzing and interpreting single-cell or multi-omics datasets (e.g., scRNA-seq, multiome, scATAC-seq)
  • 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
Nice to haves
  • Proficiency with Python-based data science tools (Num Py, Sci Py, 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: $125,000 to $175,000. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. New Limit offers a competitive benefits package, which includes a 401k, healthcare coverage, and 20 days of PTO. Learn more at:  
* 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.

Seniority level

Entry level

Employment type

Full-time

Job function

Engineering and Information Technology

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