Biological Sciences Division at the University of Chicago · 1 month ago
Research Professional
Chicago, IL
Full-time
Onsite
Entry, Mid Level
$70K/yr - $90K/yr
2+ years expThe Biological Sciences Division at the University of Chicago is seeking a Research Professional to join the newly established Chen Lab. The role involves developing and applying advanced statistical and AI/ML methods for analyzing large-scale genomics data as part of an international consortium focused on epilepsy research.
Higher Education
Responsibilities
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
Qualification
Required
Minimum requirements include a PhD in related field
Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline
CV (required)
Preferred
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 knowledge of modern statistical/AI/ML methodologies in biology
Solid understanding of genetics principles and genetic association studies
Demonstrated scientific writing skills in English, evident from first-author journal articles
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 from external resources
Cover Letter (preferred)
Benefits
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off.
Company
Biological Sciences Division at the University of Chicago
As part of the University of Chicago, the Biological Sciences Division (BSD) pursues globally impactful solutions to seemingly unsolvable challenges.
1001-5000 employees
Funding
Current Stage
Late StageCompany data provided by crunchbase