Scientist, Computational Biology
Confirmed live in the last 24 hours
Altos Labs
Job Description
Our Mission
Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.
For more information, see our website at altoslabs.com.
Our Value
Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission.
Diversity at Altos
Altos Labs has been named one of the Top 3 Biotech Companies and ranked for the second year on the Forbes 2026 Best Startups in America list. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment.
What You Will Contribute To Altos
The ideal candidate will contribute to innovative aging and rejuvenation research efforts using large-scale omics data, collaborate across disciplines, and help develop tools that drive our scientific goals forward.
Responsibilities:
- Design and execute computational strategies to analyze multi-omics data, including bulk and single-cell transcriptomics, chromatin accessibilityATACseq, ChipSeq, Cut&Run/Cut&Tag, DNA methylation, and spatial transcriptomics, in support of studies in aging and rejuvenation.
Apply and develop bioinformatics tools, statistical models, and machine learning approaches to uncover biological insights.
Evaluate and synthesize recent scientific literature to inform the design of computational pipelines and improve research strategies.
Maintain clear, complete, and organized records of all analyses and workflows in reproducible formats (e.g., notebooks, scripts, documentation). - Present findings in internal lab meetings and cross-functional seminars.
- Contribute to the writing of progress reports.
- Provide guidance and mentorship to students, technicians, and junior scientists, when applicable.
Who You Are
You are an intellectually curious scientist with strong analytical skills, a passion for computational biology, and a collaborative spirit. You’re excited to explore the biology of aging and help develop approaches to understand and potentially reverse its effects.
Minimum Qualifications
- PhD in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field.
- Proven experience in the analysis of genomic and transcriptomic datasets, particularly from high-throughput sequencing technologies.
- Proficiency in programming (e.g., Python, R) and experience working with standard bioinformatics tools and data repositories.
- Strong foundation in statistical analysis, machine learning, or probabilistic modeling.
- Demonstrated ability to work independently and collaboratively in an interdisciplinary research environment.
- Track record of scientific publications in peer-reviewed journals.
Preferred Qualifications
- Experience in single-cell or spatial omics
- Familiarity with methods for multi-omics data integration.
- Working knowledge of deep learning, variational inference, or generative modeling techniques is a plus.
- Experience contributing to open-source software or the development of reproducible pipelines.
The salary range for San Diego, CA:
- Scientist I, Computational Biology: $137,400 - $176,200
Exact compensation may vary based on skills, experience, and location.
For UK applicants, before submitting your application:
- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implie
