Data Scientist (Senior Data Scientist)

BioAge is finding new ways to treat disease by targeting the mechanisms of aging, with the ultimate goal of increasing healthy human lifespan. https://bioagelabs.com

We are seeking a Senior Data Scientist to play a key role in our Data Science team as we leverage data science and machine learning to expand our drug pipeline.

The job: This role is responsible for the discovery and investigation of biomarker signatures, biological mechanisms, and drug targets related to biological aging, healthspan, and lifespan using ML/network-based approaches. The key focus for this position will be research and development work on our proprietary AI Platform to identify drug targets using proprietary data on human cohorts capturing decades of aging.

You: Deeply experienced in machine learning and statistics, as well as an interest in the biological processes that drive aging.

Us: A well-funded company with an important mission; competitive compensation and generous benefits; and a flexible, work-from-anywhere culture that emphasizes creativity, autonomy, and growth potential for all team members.

Responsibilities

• Develop and apply techniques in machine learning to elucidate fundamental drivers of human aging
• Perform statistical analysis to identify markers associated with aging phenotypes and mortality
• Apply network-based ML/DL algorithms to identify and prioritize drug targets for healthspan indications
• Automate computational pipelines for target ID and asset prioritization
• Ingest and analyze external data sets such as UK BioBank
• Regularly communicate/present research findings within the data science team and wider BioAge teams
• Create content and present work at various academic/industry conferences

Qualifications

• PhD in computational biology or a related discipline (required)
• Minimum of 2+ years of experience in academia or industry after PhD
• Strong background in machine learning and statistics, as well as an interest in the biological processes that drive aging.
• Experience with big data, including omics and EHR/phenotypes, from large cohorts such as UK BioBank is a must.
• Fluent programmer in R/Python
• Additional publications and knowledge in ML methods development, aging biology, molecular biology, medicine, and/or drug discovery will be highly valuable.
• Experience in integrative analysis of proteomic, metabolomic, transcriptomic, and/or genomic data is highly desirable

Our company

BioAge is a platform-driven, clinical-stage biotechnology company that is mapping human longevity to change the nature of aging and extend healthy lifespan. Our growing portfolio of therapeutics for immune, muscle, and brain aging includes four drug programs, two first-in-class and two first-in-indication. Our vision is “growing older without aging” - a future in which aging allows us to pursue our goals, accumulate new experiences and accomplishments, and actively contribute to society without disease, physical disability, or loss of independence and connection.

A leading company in the emerging longevity biotech sector, BioAge has raised $127M from Andreessen Horowitz, Kaiser Foundation Hospitals, and others. For additional information about BioAge, visit the company’s website at https://bioagelabs.com.

Our workplace

BioAge offers competitive salary, a comprehensive compensation package, and generous paid time off in addition to company-observed holidays. We provide comprehensive health and wellness benefits (medical, dental, and vision insurance) and a 401(k) retirement savings plan with matching employer contributions, and we support families through childcare and fertility benefits. We also pride ourselves in giving employees many opportunities for career development, including a generous annual budget for continued learning and a dedication to training and skill development. Many positions (including this one) are remote, allowing our team members to work from anywhere. The salary for this role is expected to be $120,000 for someone who meets the minimum qualifications as listed for the role, and may be adjusted accordingly for someone with more or less experience. We are open to the concept that different experience levels add value to the team in different ways, and therefore will consider a variety of experience and offer commensurate pay.

At BioAge, we embrace diversity and differences while we learn from each other, and we believe that every team member has an important role to play. We are an equal opportunity employer. BioAge prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. BioAge conforms to the spirit as well as to the letter of all applicable laws and regulations.