Biological Sciences Division at the University of Chicago
Data Analyst
Biological Sciences Division at the University of Chicago, Chicago, Illinois, United States, 60290
Data Analyst - Biological Sciences Division
Join to apply for the Data Analyst role at Biological Sciences Division at the University of Chicago.
Pay Range $24.04 – $31.25 per year
About the Department The newly established Chen Lab 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. We play a leading role in multiple international consortia, including Epi25, the International League Against Epilepsy (ILAE), and the Genome Aggregation Database (gnomAD). 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.
Job Summary We are seeking a highly motivated and detail-oriented Data Analyst to join our team in advancing large-scale genomic studies. Projects include genetic association analysis, multi-omics analysis, statistical and AI/ML method development, and software and web platform development to support the dissemination of findings.
Responsibilities
Discusses, plans, and carries out research in a stimulating and collaborative environment.
Processes and analyzes large-scale genomics datasets for disease association studies.
Develops and/or applies statistical and AI/ML models for biologically informed gene discovery and variant interpretation.
Builds and implements computational workflows for data quality control, annotation, and downstream analyses.
Summarizes findings in reports, manuscripts, and presentations for internal and external dissemination.
Maintains well-documented, reproducible code and workflows.
Performs other related work as needed.
Qualifications
Minimum qualifications: college degree in related field.
Preferred Bachelor's or higher in computational biology, bioinformatics, statistics, computer science, AI/ML, or related quantitative field.
Basic knowledge of genetics principles.
Proficiency in programming languages and working with high-performance or cloud computing environments.
Practical experience in large-scale genomics data analysis or statistical/AI/ML method application to biological data.
Strong organizational skills, attention to detail, and ability to work independently and in a team.
Proactive mindset and strong communication skills for interdisciplinary teamwork.
Application Documents
Resume/CV (required)
Cover Letter (required)
Benefits Benefits eligible? Yes. The University offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off.
Equal Opportunity Statement University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
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Pay Range $24.04 – $31.25 per year
About the Department The newly established Chen Lab 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. We play a leading role in multiple international consortia, including Epi25, the International League Against Epilepsy (ILAE), and the Genome Aggregation Database (gnomAD). 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.
Job Summary We are seeking a highly motivated and detail-oriented Data Analyst to join our team in advancing large-scale genomic studies. Projects include genetic association analysis, multi-omics analysis, statistical and AI/ML method development, and software and web platform development to support the dissemination of findings.
Responsibilities
Discusses, plans, and carries out research in a stimulating and collaborative environment.
Processes and analyzes large-scale genomics datasets for disease association studies.
Develops and/or applies statistical and AI/ML models for biologically informed gene discovery and variant interpretation.
Builds and implements computational workflows for data quality control, annotation, and downstream analyses.
Summarizes findings in reports, manuscripts, and presentations for internal and external dissemination.
Maintains well-documented, reproducible code and workflows.
Performs other related work as needed.
Qualifications
Minimum qualifications: college degree in related field.
Preferred Bachelor's or higher in computational biology, bioinformatics, statistics, computer science, AI/ML, or related quantitative field.
Basic knowledge of genetics principles.
Proficiency in programming languages and working with high-performance or cloud computing environments.
Practical experience in large-scale genomics data analysis or statistical/AI/ML method application to biological data.
Strong organizational skills, attention to detail, and ability to work independently and in a team.
Proactive mindset and strong communication skills for interdisciplinary teamwork.
Application Documents
Resume/CV (required)
Cover Letter (required)
Benefits Benefits eligible? Yes. The University offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off.
Equal Opportunity Statement University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
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