Data Analyst/Research Associate
4 weeks ago
The Buck Institute for Research on Aging is seeking a highly skilled Data Analyst/Research Associate to join our team in developing a Large Language Model (LLM) focused on analyzing biomarkers of aging and disease. The successful candidate will have a strong background in data analysis, machine learning, and programming, with experience in working with large datasets and developing predictive models.
Key Responsibilities
Analyze and curate data related to senescence and develop models of senescence burden
Coordinate with the team to curate available data and identify additional public data repositories of interest
Develop deep learning and machine learning models to predict senescence burden
Requirements
Bachelor of Science in Computer Science, Bioinformatics, Biology, or related field
2+ years of professional experience in data analysis and machine learning
Proficiency in programming languages such as R, Python, and C
Experience in deep learning and machine learning
Excellent analytical, mathematical, and creative problem-solving skills
What We Offer
Competitive salary ($50,000 - $67,000) commensurate with experience
Exciting, collaborative work environment at the forefront of science using state-of-the-art techniques
Generous benefits package including health insurance, paid parental leave, generous PTO, and 401(k) with a 5% employer match
Work visa sponsorship available for qualified candidates
About Us
The Buck Institute for Research on Aging is a non-profit institution located in Marin County, CA, with the goal of increasing human healthspan, or the healthy years of life. We are an equal opportunity employer and strive to create an atmosphere where diversity of identity, experience, and background are welcomed, valued, and supported.
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