Buck Institute for Research on Aging · 5 days ago
Senior Computational Scientist – Furman Lab
Novato, CA
Full-time
Hybrid
Mid, Senior Level
$120K/yr - $130K/yrBuck Institute for Research on Aging is a leading research organization focused on understanding aging and resilience through advanced scientific methods. The Senior Computational Scientist will lead a funded research project on causal drivers of aging and resilience, utilizing complex data integration and modeling techniques. This role also includes mentoring trainees and collaborating with cross-functional teams to enhance research outcomes.
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Responsibilities
Lead development of causal inference frameworks (DAG-based modeling, debiased ML, identifiability assessments) to characterize mechanistic drivers of resilience and physiological decline
Build and optimize state-space, Bayesian, and Kalman filter models for longitudinal, irregularly sampled, and multiscale physiological and digital phenotype data
Develop interpretable multimodal models that integrate omics datasets, biomarker panels, wearable data, and clinical outcomes
Address confounding, selection bias, missingness, and temporal heterogeneity using principled statistical and computational approaches, generating translational insights to inform intervention prioritization and hypothesis testing
Co-lead the Buck Bioinformatics and Data Science Core, helping define analytical standards, workflows, reproducibility practices, and strategic priorities
Mentor 2–3 trainees (postdocs, analysts, graduate students) in computational modeling, systems biology, and statistical methodology
Promote best practices in documentation, reproducibility, and causal reasoning across collaborating teams
Collaborate closely with experimental scientists, clinicians, AI/ML researchers, and external partners to align modeling approaches with biological and translational objectives
Communicate findings through presentations, manuscripts, data-sharing deliverables, and reporting associated with the federally funded research program
Qualification
Required
PhD in Biostatistics, Statistics, Epidemiology (methods track), Computational Biology, Systems Biology, or a related quantitative field
Strong experience in causal inference, including DAG construction, confounding structures, selection bias, and identifiability conditions; familiarity with instrumental variables and debiased/orthogonal ML frameworks
Experience with longitudinal and time-series modeling, including state-space or Bayesian approaches, irregular sampling, and missing data; experience modeling circadian or physiological rhythms is highly desirable
Experience working with high-dimensional biological data (e.g., multi-omics, biomarker discovery) and interpretable biological modeling approaches
Judicious application of machine learning methods, including latent variable models, embeddings, and dimensionality reduction, with demonstrated judgment around when deep learning is appropriate
Proficiency in R as a primary programming language, with experience using packages such as DoubleML, dagitty, grf, KFAS, bssm, lavaan, mgcv, survival, ranger, and torch
Experience with reproducible analytical workflows and version control
Preferred
Experience with wearables, digital health, or physiological sensor data
Background in survival analysis, health-outcome modeling, or time-to-event frameworks
Experience with single-cell or pseudotime trajectory analysis
Knowledge of aging biology, geroscience, systems physiology, or resilience science
Publication record in high-impact biomedical journals
Benefits
Comprehensive benefits package (medical, dental, vision, retirement)
Visa sponsorship and immigration support, if needed
Access to world-class analytical infrastructure, Buck core facilities, and multi-omics platforms
Opportunity to contribute to pioneering research in aging, immunology, and space biosciences
$5000 relocation support
Company
Buck Institute for Research on Aging
Novato’s Buck Institute is the largest independent scientific institute in the Bay Area.
Founded in 1999
51-200 employees
H1B Sponsorship
Buck Institute for Research on Aging has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (7)
2023 (8)
2022 (10)
Funding
Current Stage
Growth StageTotal Funding
$3.5MKey Investors
National Institutes of Health
2023-09-11Grant· $3.5M
Leadership Team
Simon Melov
Professor
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