Scientist, In Vivo Biology

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 Single Altos Value: Everyone Owns Achieving Our Inspiring Mission.

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.

We are seeking an exceptional and versatile Scientist to join Discovery Science at Altos Labs. This role is ideal for a creative experimental scientist with deep expertise in in vivo and ex vivo disease biology who is excited to characterize and validate novel interventions for improving cell resilience and rejuvenating tissue functions.

The successful candidate will help develop and apply animal disease models for characterizing novel interventions, with opportunities to contribute across areas such as target discovery and validation, in vivo screening, and tissue-level functional assessment. 

We are looking for broadly capable scientists with strong technical depth, scientific creativity, and the curiosity to pursue new biological frontiers in a highly collaborative environment.

• →Design and execute innovative research strategies to identify causal regulators of cell state, aging, regeneration, and disease biology.
• →Develop and apply robust experimental workflows connecting genetic perturbation to molecular and phenotypic readouts across cellular and animal models.
• →Support genomic and molecular profiling methods, including transcriptome, proteome and single-cell readouts, to uncover novel biological mechanisms.
• →Translate in vitro discoveries into in vivo systems through the design and execution of hands-on mouse studies in relevant disease models.
• →Collaborate closely with computational scientists and cross-functional teams to integrate multidimensional datasets and generate actionable biological insight.
• →Lead project strategy, experimental design, execution, troubleshooting, and data interpretation.
• →Contribute to publications, patents, and broader scientific strategy.

• PhD in Biology, Stem cell, Aging, Physiology, or related field, with relevant postdoctoral and/or industry experience preferred.
• Strong track record of scientific accomplishment through publications, patents, or impactful platform development.
• Demonstrated expertise in the following areas:
• Hands-on in vivo experience with disease mouse models.
• Disease cell and mechanistic biology
• Ability to independently lead complex research projects from concept to execution.
• Strong analytical skills and ability to derive biological insight from multidimensional datasets.
• Excellent written and verbal communication skills.
• Demonstrated ability to work effectively in highly collaborative, interdisciplinary environments.
• Scientific rigor, creativity, and comfort operating in rapidly evolving areas.

• Experience in small rodent handling, with an ability to independently design and coordinate the execution of complex in vivo studies, including drug administration, tissue harvest and processing.
• Expertise in physiologically relevant mouse models for chronic diseases.
• Hands-on experience with in vivo delivery modalities such as AAV, LNP, or related delivery systems.
• Experience or interest in studying novel biological mechanisms and emerging areas of biology.

• Background in aging biology, regeneration, fibrosis, inflammation, metabolic disease, neurodegeneration, or related therapeutic areas.
• Direct experience with in vivo lung, kidney, or liver disease models.
• Hands-on experience generating and maintaining ex vivo precision-cut tissue slices.
• Experience with tissue-level genomics assays and analyses

The salary range for San Diego:

• Scientist I $127,100 - $162,900
• Scientist II $143,800- $184,300

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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.

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/