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Data Analyst 2, SRS

Job

McGovern Institute for Brain Research

Remote

$79,150 Salary, Full-Time

Posted 3 days ago (Updated 16 hours ago) • Actively hiring

Expires 7/24/2026

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Job Description

Data Analyst 2,
SRS Job Number:
25817
Functional Area:
Data Analysis Department:
Comp Sci & Artificial Intelligence Lab School Area:
Schwarzman College of Computing Pay Range Minimum:
$67,200
Pay Range Maximum:
$91,100
Employment Type:
Full-time (Hybrid)
Employment Category:
Exempt Visa Sponsorship Available:
No Schedule:
Pay Grade:
7 Email a Friend Save Save Apply Now Posting Description
DATA ANALYST, SRS, COMPUTATIONAL
BIOLOGIST, Computer Science and Artificial Intelligence Laboratory (CSAIL) -Computational Biology Group, to work at the interface of computational and experimental work to develop new computational methods, integrate large-scale genomic and single-cell datasets to understand disease circuitry, predict new therapeutic target genes and control elements, guide experimental dissection, refine biological hypotheses, and interpret biological results through computational analyses. The full job description is available, here: https://www.dropbox.com/scl/fi/fn79e661b06q95plzezjm/Data-Analyst-2-SRS-JD-Kellis.pdf?rlkey=sglwsfv8jc87icn6c9mkvf8dy&st=1n3lpn38&dl=0 Job Requirements
REQUIRED
Bachelor's degree in computer science/computer engineering or a related field; a minumum of two years of relevant experience; a track record of computational biology research; experience working with high-dimensional genomic and statistical genetics data; clear understanding of state-of-the-art machine learning and artificial intelligence methods; comfort with a variety of programming languages and data science pipeline; excellent communication and presentation skills; and ability to work as part of a diverse, creative team of scientists.
PREFERRED
: Extensive software engineering experience; familiarity and willingness to engage with Agentic AI workflows, deploy software, and integrate with large code bases with agentic LLM capabilities; and Master's in computer science/computer engineering or related engineering field. This position is a 1-year funded position with potential to renew. 6/22/2026