Postdoctoral Research Fellow - McWilliams School of Biomedical Informatics (Finance)
What we do here changes the world. UTHealth Houston is Texas' resource for healthcare education, innovation, scientific discovery, and excellence in patient care. That's where you come in.
Once you join us you won't want to leave. It's because we reward our team for the excellent service they provide. Our total rewards package includes the benefits you'd expect from a top healthcare organization (benefits, insurance, etc.), plus:
- 100% paid medical premiums for our full-time employees
- Generous time off (holidays, preventative leave day, both vacation and sick time - all of which equates to around 37-38 days per year)
- The longer you stay, the more vacation you'll accrue!
- Longevity Pay (Monthly payments after two years of service)
- Build your future with our awesome retirement/pension plan!
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- Free financial and legal counseling
- Free mental health counseling services
- Gym membership discounts and access to wellness programs
- Other employee discounts including entertainment, car rentals, cell phones, etc.
- Resources for child and elder care
- Plus many more!
Position Summary:
Postdoctoral position is available in Dr. Degui Zhi's Center for AI and Genome Informatics (AIGI, https://sbmi.uth.edu/aigi/ ), McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston (UTHealth Houston), focusing on developing methods and conducting analysis of biobank-scale imaging and genetics data using deep learning AI.
The ideal candidate should have a background in AI-based bioinformatics. This candidate will have the opportunities to collaborate with the team and develop innovative analyses strategies for biobank-scale data. Funding is available to support this position for 1 year The candidate will have the opportunity to access multiple multimodal datasets and interact with investigators across UTHealth, Texas Medical Center, and national consortium.
Position Key Accountabilities:
The position is to support a skilled computer biologist and bioinformatician interested in developing a career in AI-driven biobank-scale genetics informatics research. The position includes opportunities to receive training in data management, developing efficient data structure and algorithms to analyze biomedical big data, proposal/paper writing, and developing an independent area of research. The candidate will also have opportunities in working closely with students including co-mentoring graduate/intern students and providing supports in lectures.
Minimum Education:
- Requirements for this position include having completed a PhD degree preferably from Computer Science, bioinformatics, population genetic or related fields, demonstrated strong quantitative analytic skills including programming skills, and evidence in publishing research article related to population genetics, bioinformatics and computer sciences.
Description of Qualified Candidates:
- The successful candidate should have some experience in analyzing biobank-scale imaging and genotype data, with proven skills in at least one programming language (e.g., Perl, Python, R, or C/C++). Good understanding of pytorch and modern vision models is a plus.
Physical Requirements:
Exerts up to 20 pounds of force occasionally and/or up to 10 pounds frequently and/or a negligible amount constantly to move objects.
Security Sensitive:
This job class may contain positions that are security sensitive and thereby subject to the provisions of Texas Education Code § 51.215
Residency Requirement:
Employees must permanently reside and work in the State of Texas.
