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Northwestern University

Data Scientist (Research Associate) - 1-year Term

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What they do

A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.

$101,074 / year median in Illinois

+16% projected growth

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Job Description

at Northwestern University in
Evanston, Illinois, United States Job Description Job Opening Id:
54280
Department:
CSB - Ctr for
Syn Bio Salary/Grade:
RES/ Job Summary:
The AI-Driven, Rapid, Experimental Automation Machine (DREAM) Cloud Lab for Protein Engineering aims to be a national user facility that will accelerate the engineering of proteins for a range of important biotechnology applications spanning manufacturing, materials, medicine, waste recycling, agriculture, food, mining and more. Through creating and operating an automated cell-free protein synthesis and characterization wet-lab, connected through an AI-directed protein design-build-test-learn framework, DREAM will enable users from across the U.S. to engineer custom proteins in rapid, automated, accessible and reliable steps instead of the months to years required with current practices. DREAM will be housed in the Northwestern Center for Synthetic Biology (NU CSB), a world-renowned center for engineering impactful biotechnologies. Dream is seeking to hire a Research Associate who will serve as an AI Research Scientist. The AI Research Scientist will develop and maintain AI-driven protein engineering workflows that enable automated application of a suite of AI protein design algorithms, analysis of experimental data, and active learning workflows. This position will also lead the creation and maintenance of agentic AI, data warehousing, and user interface layers that will underpin DREAM operations and user interfaces. In addition, the AI Research Scientist will work closely with internal NU CSB users, external users and DREAM wet lab staff to understand specific protein engineering projects and design and implement AI algorithms to execute them. This role will manage a portfolio spanning machine learning, data engineering, and scientific computing to accelerate protein engineering efforts. The AI Research Scientist will work closely alongside with the Node Director, Professor Julius Lucks, the Data and AI lead, Professor Han Liu, as well as other DREAM staff and NU CSB faculty and trainees. This is a one-year term position with an opportunity for renewal based on performance and available funding.
Specific Responsibilities :
Develop and deploy machine learning models for protein design and optimization, including active learning approaches to implement protein design-build-test-learn cycles Build and maintain automated pipelines for data intake, processing, and analysis Integrate laboratory data streams with cloud-based infrastructure Ensure data reproducibility, versioning, and quality control Troubleshoot and optimize AI/ML workflows and pipelines Collaborate with wet lab teams to refine modeling strategies and experimental design To view full details and how to apply, please login or create a Job Seeker account