POSTDOCTORAL RESEARCHER-Biomedical Data Science & AI-Epidemiology-Ruan Lab

The University of Texas Southwestern Medical Center; Dallas (TX); On-site; USD 55,000 - 65,000; Full time

Benefits offered by this job

PPO plan

Preventive care coverage

Paid time off

TRS retirement

Parental leave

Wellness programs

Tuition reimbursement

PSLF eligible

Employee benefits overview

Job summary

UT Southwestern Medical Center's Quantitative Biomedical Research Center invites applications for a Postdoctoral Researcher. The position centers on applying advanced AI methods to biomedical datasets, with collaboration across clinical investigators and industry partners.

Responsibilities include data management, curation, and analysis of large-scale omics and clinical data; development of novel statistics and ML approaches; integration of multi-modal data; interpretation of results; and

Qualifications

• PhD in computer science, bioinformatics, data science, ML or related quantitative field.
• Experience with single-cell or spatial transcriptomics is desirable.
• Background in handling large biomedical datasets and ML methods.

Responsibilities

• Manage, curate and analyze large-scale biomedical datasets.
• Develop and apply statistics, ML and AI approaches.
• Integrate molecular, cellular, spatial and clinical data.
• Interpret results and write manuscripts; present findings.

Skills

Problem solving

Research skills

Collaboration

Education

PhD in computer science or related field

Quantitative background

Tools

Machine learning

Bioinformatics

Job description

POSTDOCTORAL RESEARCHER

A postdoctoral fellow position is now available in the laboratories of Dr. Peifeng Ruan (https://qbrc.swmed.edu/labs/ruanlab/) at the Quantitative Biomedical Research Center (QBRC) in the Peter O’Donnell Jr. School of Public Health at UT Southwestern Medical Center, Dallas. The labs’ research focuses on developing and applying advanced computational and AI methods to address critical challenges in biomedical research and clinical practice.

The training activities of this position will include data management, curation, and analysis of large-scale biomedical and clinical datasets, including proteomics, metabolomics, single-cell transcriptomics and spatial transcriptomics data; development and/or implementation of novel statistics, machine learning and AI approaches; integration of molecular, cellular, spatial, imaging, and clinical data; interpretation and presentation of analysis results; and writing manuscripts. We are actively seeking exceptionally motivated individuals with outstanding problem-solving abilities. In this role, you will conduct cutting-edge research at the intersection of artificial intelligence and biomedical sciences, with opportunities to collaborate with clinical investigators and industry partners.

Information on our postdoctoral training program, benefits, and a virtual tour can be found at https://www.utsouthwestern.edu/research/postdoctoral-scholars/.

Candidates with a Ph.D. in computer science, bioinformatics, data science, machine learning, or a related quantitative field are encouraged to apply. Experience with one or more of the following areas is desirable: single-cell transcriptomics and spatial transcriptomics, knowledge graphs, large language models, or analysis of real-world clinical data (e.g., electronic health records, claims databases, or pharmacovigilance databases).

UTSouthwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. Asan equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status.

This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.

Appointment rank will be commensurate with academic accomplishment and experience. Consideration may be given to applicants seeking less than a full-time schedule.

To learn more about the benefits UT Southwestern offers, visit https://www.utsouthwestern.edu/employees/hr-resources/

Benefits

• PPO medical plan, available day one at no cost for full-time employee-only coverage


• 100% coverage for preventive healthcare – no copay


• Paid Time Off, available day one


• Retirement Programs through the Teacher Retirement System of Texas (TRS)


• Paid Parental Leave Benefit


• Wellness programs


• Tuition Reimbursement


• Public Service Loan Forgiveness (PSLF) Qualified Employer


• Learn more about these and other UTSW employee benefits!