Summary
Jill Lundell is a Research Data Scientist with 8+ years blending academic rigor and applied statistics, currently at MIT Lincoln Laboratory after a postdoc in cancer research at Harvard T.H. Chan School of Public Health and Dana-Farber. She holds a Ph.D. in Statistics from Utah State University and brings deep expertise in machine learning, genomics/epigenomics, environmental statistics, and big-data visualization using R and Python. Jill has a strong track record translating complex omics and genetic data into practical analytic solutions for researchers and policy stakeholders, informed by prior roles as a senior statistician in industry and as a statistics instructor. Known for pairing advanced modeling with clear report writing, she excels at turning noisy biomedical data into actionable insight — a skill honed across academic, government-adjacent, and private-sector projects. An understated strength is her ability to bridge technical teams and nontechnical decision-makers, ensuring analyses drive real-world impact.
8 years of coding experience
19 years of employment as a software developer
Bachelor of Science (BS), Mathematics, Bachelor of Science (BS), Mathematics at Utah State University
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