The Chen Lab in the Department of Human Genetics at the University of Chicago is hiring a Data Analyst to advance large-scale genomic studies. You will gain hands-on experience with genomic and phenotypic data from hundreds of thousands of individuals, collaborating with international consortia to understand the genetic basis of human diseases and translate discoveries into novel therapeutic strategies.
What You'll Do
- Discuss, plan, and carry out research in a collaborative environment.
- Process and analyze large-scale genomics datasets for disease association studies.
- Develop and/or apply statistical and AI/ML models for biologically informed gene discovery and variant interpretation.
- Build and implement computational workflows for data quality control, annotation, and downstream analyses.
- Summarize findings in reports, manuscripts, and presentations for internal and external dissemination.
- Maintain well-documented, reproducible code and workflows.
- Assist in analyzing data to extract applicable information and perform research projects.
- May assist staff or faculty with data manipulation, statistical applications, programming, analysis, and modeling.
- Collect, organize, and may analyze information from internal and external data systems.
- Maintain and analyze statistical models using knowledge of machine learning and statistical inference; perform maintenance on large and complex research datasets.
What We're Looking For
- A college or university degree in a related field.
- Knowledge and skills developed through less than 2 years of work experience in a related job discipline.
Nice to Have
- A Bachelor’s degree or higher in computational biology, bioinformatics, statistics, computer science, AI/ML, or a related quantitative field.
- Basic knowledge of genetics principles.
- Proficiency in programming languages and working with high-performance or cloud computing environments.
- Practical experience in either large-scale genomics data analysis or statistical/AI/ML method application to biological data.
- Familiarity with omics datasets and modern statistical/AI/ML methodologies in biology.
- Strong organizational skills, attention to detail, and ability to work independently and in a team setting.
- A proactive mindset with strong communication skills to work effectively in an interdisciplinary team.
- Enthusiasm for initiating innovative secondary analyses, such as integration with multimodal functional and clinical data.
Technical Stack
- Programming languages
- High-performance or cloud computing environments
- Statistical and AI/ML models
- Omics datasets
Team & Environment
You will be a member of the Chen Lab within the Department of Human Genetics, operating in a stimulating, collaborative research environment as part of an international, interdisciplinary network of leading researchers and clinicians focused on results with direct clinical and public health implications.
Benefits & Compensation
- Compensation range: $24.04 - $31.25 per hour
- Health, retirement, and paid time off benefits
Work Mode
This is an onsite position located in Chicago, IL.
The 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.
