Jineta Banerjee
Associate Director, Advanced Data Analytics
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolJineta Banerjee is an Associate Director of Advanced Data Analytics with 10 years of cross-disciplinary experience at the intersection of AI/ML and life sciences, currently leading large-scale genomic and data management initiatives at Sage Bionetworks. She blends deep wet-lab neuroscience and molecular biology expertise with practical computational skills (R, Python, AWS, Nextflow) to harmonize and analyze complex datasets like RNA-seq, EHR, and electrophysiology. Jineta has driven ML applications to characterize tumor heterogeneity in rare disease and built prototypes using retrieval-augmented generation to extract biological metadata from literature. She has a track record of translating scientific questions into product vision and managing multi-million-dollar projects while coordinating scientists, data managers, and engineers. Based in Seattle, she brings an entrepreneurial mindset informed by academic training (PhD, Carnegie Mellon) and hands-on lab experience, making her adept at bridging research and production. An interesting, less obvious strength is her ability to move between single-neuron electrophysiology and large-scale genomics, giving her unique perspective on multi-modal biological data integration.
10 years of coding experience
7 years of employment as a software developer
Bachelors, Zoology, First Class Honors, Bachelors, Zoology, First Class Honors at Bethune College, University of CalcuttaPhD, Neuroscience, PhD, Neuroscience at Carnegie Mellon UniversityMasters, Biotechnology, Masters, Biotechnology at University of Calcutta
English, Bengali, Hindi
Github Skills (114)
next-generation-sequencing10
location10
doi9
rna-seq9
variants9
metadata9
immunology9
genomics9
seccomp9
reproducible-research9
bioinformatics9
vcenter9
sandbox9
genome9
sequencing9
Programming languages (12)
Github contributions (5)
Sage-Bionetworks/NF_LandscapePaper_2019
Sep 2019 - Jan 2020
This repository hosts all the code used to generate analyses and figures for the landscape paper
Contributions:49 commits, 29 PRs, 10 pushes in 3 months
hostsfigureslandscapeanalyses
jaybee84/ml-in-rd
Mar 2020 - Dec 2022
Manuscript for perspective on machine learning in rare disease
Contributions:136 reviews, 713 commits, 195 PRs in 2 years 9 months
perspectiverare-diseasemachine-learningdiseaserare
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