Senior Data Scientist
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Design and implement computational approaches to advance bioinformatics and machine learning research, analyzing large-scale genomic and protein datasets. You'll collaborate with scientists and engineers while documenting findings for potential publication. Requires enrollment in a BS, MS, or PhD program in Bioinformatics, Computational Biology, Computer Science, Statistics, or related field, with strong Python skills and experience in machine learning, data analysis, genomics, or protein bioinformatics. Twelve-week hybrid internship based in Emeryville, CA, with two to three on-site days weekly.
Written from this posting by Neural Jobs AI. The full description is below.
Profluent is the frontier AI lab for biology. Profluent builds powerful foundation models for all of life's molecules, unlocking solutions that transform medicine, agriculture, and beyond. Founded in 2022 and headquartered in Emeryville, CA, Profluent is backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures and has raised over $150M to date.
Our generative models learn the blueprint of life by modeling large-scale evolutionary data, enabling us to engineer and write biology in unprecedented ways. We are seeking a passionate Computational Research Intern to join moonshot projects at the intersection of bioinformatics and machine learning.
This is a rare opportunity to tackle open-ended scientific and engineering challenges with direct potential for high-impact publications and real-world applications in synthetic biology and protein engineering.
NOTICE TO STAFFING AND SEARCH FIRMS: Profluent does not accept unsolicited candidate submissions. We ask that agencies refrain from sending resumes to our careers inbox, hiring managers, or any Profluent employee. Any resume submitted without a signed agreement and an active search request from our Talent team will be treated as the property of Profluent, and no placement fee will be owed.
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The next frontier is authoring new biology, and with AI, we have the power to write the future—creating solutions that transform medicine, agriculture, and beyond.
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