Scientist / Senior Scientist, Human Genetics

Our Mission

To restore cell health and resilience through cellular rejuvenation programming 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

We believe that diverse perspectives are foundational to scientific innovation and inquiry. 

We are building a company where exceptional scientists and industry leaders from around the world work side by side to advance a shared mission. 

Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. 

At Altos, we are all accountable for sustaining a diverse and inclusive environment.

What You Will Contribute To Altos

An exciting opportunity is available for an exceptional, highly motivated Statistical Geneticist to join the Institute of Medicine (IoM) at Altos Labs. The Scientist / Sr. Scientist will report to the Director of Human Genetics and play a pivotal role in developing and conducting research at the interface of discovery and translation.The candidate will work in a highly dynamic and cross-functional environment, collaborating with  the Institutes of Science and the Institute of Medicine, and spanning multiple therapeutic areas. The successful candidate will have strong scientific training and a demonstrated track record of leading and conducting Human Genetics research in academia, biotechnology or the pharmaceutical industry.

Responsibilities

• Harvest and analyze genetic and genomic variation to dissect the molecular and cellular basis of disease. Use those insights to enable and facilitate the development of transformative medicines
• Create and foster strong partnerships with groups at the Altos Institutes of Science
• Plan and conduct genetics research related to areas such as chronic disease risk and modifiers thereof, cellular resilience, stress response, and energy metabolism
• Collaborate with information technology, computational biology, and machine learning specialists to enable and streamline genetic data analysis.
• Contribute to a team culture that promotes continuous improvement, ownership, professional growth, and inclusion

Who You Are 

We are open to candidates with a range of experience, as the position can be filled at the Scientist I, Scientist II, or Senior Scientist level. The level of the position will depend on the qualifications of the selected candidate.

Minimum Qualifications

• PhD in Statistical Genetics or a related discipline, with experience in an academic or industry research setting
• Track record of publications in peer-reviewed journals, and/or impactful contributions in the biotech / pharmaceutical industry
• Excellent collaboration skills and eagerness to thrive in the highly collaborative environment across Altos
• Strong knowledge of quantitative human genetics (GWAS, QTL mapping, etc.) and statistical modeling
• Expertise in genetic association analyses, summary statistics-based meta-analysis, fine-mapping, colocalization, Mendelian Randomization
• Experience with large-scale biobank data (e.g. UK Biobank)
• Proficiency in relevant programming languages (R, Python, etc.)
• Team player and effective communicator, able to bridge the gaps between computational disciplines and wet-lab science

Preferred Qualifications

• • Knowledge of cloud computing and machine learning principles
  • Experience with analyses using functional genomics data, especially in conjunction with genetic associations (e.g., scRNA-Seq, ATAC-Seq, etc.)

 

The salary range for San Francisco, Bay Area

• Scientist I: $141,950-$192,050
• Scientist II: $$167,000- $$288,000
• Senior Scientist: $190,000 - $252,000
• Senior Scientist II: $210,000 - $279,600

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 (https://bit.ly/3fHGl98)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

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