Scientist, In Vivo Genomics

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 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 functional genomics, in vivo biology, and/or next-generation genomics technologies who is excited to uncover new regulators of cell state, tissue resilience, and rejuvenation biology. The successful candidate will help build and apply next-generation discovery platforms spanning in vitro and in vivo systems, with opportunities to contribute across areas such as genome-scale perturbation screening, in vivo genomics technology development, target discovery, and tissue-level functional genomics. Depending on background and interests, the successful candidate may contribute more heavily toward platform and technology development or toward mechanistic and translational biology. 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. Key Responsibilities Design and execute innovative research strategies to identify causal regulators of cell state, aging, regeneration, and disease biology. Develop and apply functional genomics approaches, including pooled perturbation screens, CRISPR-based technologies, and other scalable discovery tools. Build and apply in vivo genomics approaches to enable target discovery and mechanistic studies in physiologically relevant systems. Develop robust experimental workflows connecting genetic perturbation to molecular and phenotypic readouts across cellular and animal models. Apply genomic and molecular profiling methods, including transcriptome, translatome, proteome, single-cell, and spatial readouts, to uncover novel biological mechanisms. Generate mechanistic hypotheses and drive validation studies using appropriate in vitro and in vivo systems. Translate in vitro discoveries into in vivo systems through the design and execution of hands-on mouse studies in relevant disease models. Develop, optimize, and apply in vivo delivery approaches, including viral and nucleic acid-based delivery systems such as AAV and LNP platforms. 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. Who You Are PhD in Molecular Biology, Genetics, Genomics, Biochemistry, Bioengineering, Systems Biology, 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 two or more of the following areas: Functional genomics, perturbation screening, single-cell, spatial, or other next-generation genomics technologies Hands-on in vivo experience with disease mouse models. Disease cell and mechanistic biology Bioinformatics and multi-omic data analysis 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. Preferred Qualifications Experience with in vivo functional genomics or pooled screening approaches. Expertise in single-cell sequencing, spatial genomics, ribosome profiling, lineage tracing, or other next-generation genomics methods. 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. Hands-on experience with in vivo delivery modalities including AAV, LNP, or related delivery systems. Expertise in physiologically relevant model systems, including stem cell-derived systems, primary human cells, organoids, ex vivo tissue systems, or disease mouse models. Experience linking large-scale discovery platforms to mechanistic follow-up and target validation. Strong computational biology and bioinformatics expertise integrating transcriptomic, proteomic, translatomic, imaging, phenotypic screening, and other multi-omic datasets. Background in aging biology, regeneration, fibrosis, inflammation, metabolic disease, neurodegeneration, or related therapeutic areas. Experience or interest in studying novel biological mechanisms and emerging areas of biology. The salary range for Redwood City : Scientist I, Genomics: $148,700 - $190,700 Scientist II, Genomics: $162,700 - $208,600 Senior Scientist I, Genomics: $197,000 - $252,600 Exact compensation may vary based on skills, experience, and location. #LI-NN1 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/

{
  "content_hash": "515c27eaa6c415c272fcfe927d1afee2ad5b8d943929ab9bb7acb7cd37454239",
  "source_hash": "87279c8cca5d25e6ece5fae3246a8a6d9ba92b1f14d49360533bac39c996deb9",
  "last_changed_at": "2026-06-04T11:10:53.693Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "San Francisco Bay Area, CA",
    "city": "San Francisco Bay Area",
    "region": "CA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.9
  },
  "salary_max": 190700,
  "salary_min": 148700,
  "inferred_at": "2026-06-06T19:18:29.919Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "San Francisco Bay Area, CA",
      "city": "San Francisco Bay Area",
      "region": "CA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": "year",
  "workplace_type": null,
  "salary_currency": "USD"
}

{}

{
  "title": "Scientist, In Vivo Genomics",
  "offices": [
    {
      "id": 4024933004,
      "name": "Bay Area, California",
      "location": "Redwood City, California, United States",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "language": "en",
  "location": {
    "name": "San Francisco Bay Area, CA"
  },
  "metadata": [],
  "updated_at": "2026-06-03T19:54:04-04:00",
  "departments": [
    {
      "id": 4116550004,
      "name": "Discovery Science",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "company_name": "Altos Labs",
  "requisition_id": 5152077004,
  "first_published": "2026-05-14T17:22:56-04:00",
  "application_deadline": null
}