Research Professional

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This range is provided by Biological Sciences Division at the University of Chicago. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$70,000.00/yr - $90,000.00/yr

BSD HGD - Unassigned Lab

We bring together faculty and students with diverse perspectives and expertise who are united by a shared passion for understanding genetic variation and drawing out the insights it can provide on gene regulatory mechanisms, evolutionary history, and health outcomes, across developmental stages and environmental contexts.

We foster collaborative research that integrates experimental discoveries with statistical modeling and bridges the gap between basic and translational research to ultimately inform strategies for precision medicine.

The newly established Chen Lab ((Use the "Apply for this Job" box below).) is based in the Department of Human Genetics at the University of Chicago. Our research strives to catalyze repeated traversal of the 'genomic medicine cycle,' driving the discovery, biological understanding, and clinical translation of the genetic underpinnings of human disease. Our lab plays a leading role in multiple international consortia, including Epi
25, the International League Against Epilepsy (ILAE), and the Genome Aggregation Database (gnom

AD). Leveraging advances in genomics technologies, we have made seminal discoveries that elucidate the genetic basis underlying conditions ranging from severe neurodevelopmental disease to population-level phenotypic variation. Our work has been published in high-profile journals including Nature, Nature Genetics, Nature Neuroscience, and others. We are currently expanding efforts to build large-scale data commons for human complex disorders and to integrate emerging technologies such as AI to drive the next wave of genomic and biomedical discovery.

We are seeking outstanding researchers to contribute to the development and application of advanced statistical and AI/ML methods for analyzing large-scale genomics data as part of a large NIH-funded international consortium that brings together multiple institutions to analyze genomics data from human cohorts diagnosed with epilepsy.

• Discuss, plan, and carry out research in a stimulating and collaborative environment.
• Develop and apply rigorous methods to investigate associations between genetic and phenotypic variables.
• Independently explore, learn, and evaluate state-of-the-art statistical/AI/ML approaches.
• Summarize findings in reports, manuscripts, and presentations; publish results in peer-reviewed journals.
• Conduct reproducible analyses within an open science framework, including producing open-source pipelines and tools for use by the broader scientific community.
• Contribute to the supervision and mentoring of junior researchers.
• Collaborate with consortium partners, with excellent opportunities to expand academic networks.
• Serves as a resource for collecting data and performing analysis. Contributes to facilitating and promoting a research project by providing scientific or intellectual information.
• Trains new laboratory personnel.
• Performs other related work as needed.

Minimum requirements include a PhD in a related field.

Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.

• Ph.D. in computational biology, bioinformatics, statistics, computer science, AI/ML, or a related quantitative field.
• Experience in either:
  Large-scale genomics data analysis OR Statistical/AI/ML method development applied to biological data.
• Proficiency in programming languages and working with high-performance or cloud computing environments.
• Practical experience with sequencing or SNP-array data analysis.
• Experience with genomics data analysis tools and frameworks (e.g., PLINK, Hail, GATK).
• Strong…