Scientist, Computational Biology

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 implied and it does not set terms or conditions of employment.

Equal Opportunity Employment

We value collaboration and scientific excellence.

We believe that a culture of belonging are foundational to scientific innovation and inquiry. At Altos Labs, 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 an inclusive environment.

Altos Labs provides equal employment opportunities to all employees and applicants for employment, without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Altos prohibits unlawful discrimination and harassment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging.

Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/