Data Analyst/Research Associate - Furman lab - Buck Institute
NOVATO, CA 94945
About the Job
POSITION SUMMARY
The Buck Institute for Research on Aging seeks a full-time Data Analyst/Research Associate (RA) to join our team in building a Large Language Model (LLM) focused on analyzing biomarkers of aging and disease, specifically those implicated in celiac conversion. Additionally, the RA will assist in accessing, curating, analyzing, and visualizing data from the Gene-Tissue Expression portal (GTEx) and other public databases to develop machine learning and artificial intelligence algorithms to predict senescence burden.
KEY RESPONSIBILITIES
Required Education & Experience
Our success will ultimately change healthcare. At the Buck, we aim to end the threat of age-related diseases for this and future generations by bringing together the most capable and passionate scientists from a broad range of disciplines to identify and impede the ways in which we age. We are an independent, non-profit institution located in Marin County, CA, with the goal of increasing human healthspan, or the healthy years of life. Globally recognized as the pioneer and leader in efforts to target aging—the number one risk factor for diseases including Alzheimer’s, Parkinson’s, cancer, macular degeneration, heart disease, and diabetes—the Buck seeks to help people live better longer. We are an equal opportunity employer and strive to create an atmosphere where diversity of identity, experience, and background are welcomed, valued, and supported. Candidates who contribute to this diversity are strongly encouraged to apply.
TO APPLY
Interested candidates should click the Apply button to complete the online application. Please upload both your CV and a document that includes a brief statement of your interests plus the names/contact information of 3 references.
The Buck Institute for Research on Aging seeks a full-time Data Analyst/Research Associate (RA) to join our team in building a Large Language Model (LLM) focused on analyzing biomarkers of aging and disease, specifically those implicated in celiac conversion. Additionally, the RA will assist in accessing, curating, analyzing, and visualizing data from the Gene-Tissue Expression portal (GTEx) and other public databases to develop machine learning and artificial intelligence algorithms to predict senescence burden.
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
- Perform data analysis as part of the Bioinformatics Core including:
- Omics analysis (transcriptomics (single-cell and bulk), proteomics, metabolomics)
- Simple/Multiple linear regression
- Parametric and non-parametric statistics
- Classification methods (random forest, SVM)
- Neural networks
- Computer vision (Feature extraction)
- Biological aging calculations (Omics Clocks)
- Candidate gene studies and GWAS
- Enrichment analysis
- Dimensionality reduction
- Drug repurposing
- Integrative multi-omics
- Collaborate with staff members, research scientists, and principal investigators.
- Journal Article Writing
- Figure Creation
- Conference participation
Required Education & Experience
- Bachelor of Science in Computer Science, Bioinformatics, Biology, or related field
- 2 years of professional experience
- Comfortable and proficient on the Linux command line
- Experienced in one or more programming languages, preferably R, Python, C
- Experience in Deep Learning and Machine Learning
- Outstanding analytical, mathematical, and creative problem-solving skills
- Excellent listening, interpersonal, written, and oral communication skills
- Logical and efficient, with keen attention to detail
- Highly self-motivated and directed; works well independently and as a team
- Ability to effectively prioritize and execute tasks
- Experience with biological data sets
- Experience implementing machine learning algorithms
- 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
Our success will ultimately change healthcare. At the Buck, we aim to end the threat of age-related diseases for this and future generations by bringing together the most capable and passionate scientists from a broad range of disciplines to identify and impede the ways in which we age. We are an independent, non-profit institution located in Marin County, CA, with the goal of increasing human healthspan, or the healthy years of life. Globally recognized as the pioneer and leader in efforts to target aging—the number one risk factor for diseases including Alzheimer’s, Parkinson’s, cancer, macular degeneration, heart disease, and diabetes—the Buck seeks to help people live better longer. We are an equal opportunity employer and strive to create an atmosphere where diversity of identity, experience, and background are welcomed, valued, and supported. Candidates who contribute to this diversity are strongly encouraged to apply.
TO APPLY
Interested candidates should click the Apply button to complete the online application. Please upload both your CV and a document that includes a brief statement of your interests plus the names/contact information of 3 references.
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