Computational Biologist

Department

BSD MED
- Genetic Medicine
- Im Research Staff

The Section of Genetic Medicine shape the future of personalized medicine with successful research programs focused on the quantitative genetic and genomic science. The Section provides extremely valuable collaborations with investigators in the Department of Medicine who are seeking to develop new and more powerful ways to identify genetic risk factors for common, complex disorders with almost immediate clinical application.

The Section of Genetic Medicine conducts impactful investigations focused on quantitative genetics, systems biology and genomics, bioinformatics and computational biology as well as through extensive collaborations of the faculty throughout the Department of Medicine, Biological Sciences Division and the University of Chicago.

We are seeking a lifelong learner interested in developing statistical and computational tools to sift through large amounts of data to make discoveries that can improve human health. The Computational Biologist will contribute to the development and application of statistical and computational tools across NIH-funded projects, integrating large-scale GWAS with metabolomics data to uncover mechanisms underlying complex diseases and developing polygenic risk scores that transfer genetic signals across human populations and model organisms to study addiction-related, COPD, type 2 diabetes and other common diseases.

• Analyze large-scale genomic datasets including RNA-seq, whole genome sequence, and single-cell data.
• Develop and apply statistical and computational methods to extract biological insights from high-dimensional data.
• Develop and train deep learning models to improve upon traditional statistical methods in genomics.
• Collaborate with disease and genomics experts to address pressing biomedical research questions.
• Write and contribute to scientific publications and present findings at lab and consortium meetings.
• Help train and mentor students in the lab.
• Apply research principles and relevant subject matter knowledge to administer a research project, managing lab and/or research-related duties and tasks with moderate direction.
• Takes responsibility for recognizing abnormal results, varying conditions or procedures to correct problems, setting up and performing experiments, and analyzing results.
• Performs other related work as needed.

• Education: Minimum requirements include a college or university degree in related field.
• Work Experience: Minimum requirements include 2-5 years of knowledge and skills developed through work experience in a related job discipline.
• Certifications: None specified.

• Education: Master’s or doctoral degree in computational biology, bioinformatics, statistics, physics, or other quantitative disciplines with an interest in applying skills to biomedical research.
• Experience: Experience with deep learning in genomics and large language models, experience with large datasets, distributed computing, and databases, reproducible research tools and workflows (Git Hub, Snakemake, Nextflow), proficiency in R and/or Python.
• Preferred
  
  Competencies:
  
  Strong analytical skills, problem-solving skills, organizational skills, verbal and written communication skills, ability to work independently and as part of a team, willingness to explore and adopt new ideas and technologies, analytical, statistical, quantitative, and computational/programming skills.

Research

Individual Contributor

40

No

No

No

Salary

Exempt

$60,000.00 - $80,000.00

Yes. The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.

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…