Postdoctoral Research Fellow - School of Public Health (Brownsville)

We are hiring a Postdoctoral Research Fellow (Full-time) to join the UTHealth Houston School of Public Health in Brownsville, Texas. In this role, you will use large-scale genomic, multi-omic, and longitudinal data to uncover why cardiometabolic disease arises early and progresses rapidly in high-risk populations living along the U.S.–Mexico border. Ideal candidate should have strong programming skills in R and/or Python, with experience in high-performance computing and Linux environments. Demonstrated experience analyzing large genetic, omic or epidemiologic datasets, preferred. Spanish language proficiency is welcome but not required. 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! Build your future with our awesome retirement/pension plan! We take care of our employees! As a world-renowned institution, our employees’ wellbeing is important to us. We offer work/life services such as... 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: The Border Health Research Center at UTHealth Houston invites applications for a Postdoctoral Fellow in Computational Genetic Epidemiology. This is an exceptional opportunity to join a highly productive, interdisciplinary team that uses large-scale genomic, multi-omic and longitudinal data to uncover why cardiometabolic disease arises early and progresses rapidly in high-risk populations living along the U.S.–Mexico border. Our research is anchored in the Border Health Research Cohort, one of the longest-running community-based cohorts in the United States. It includes more than 5,500 deeply phenotyped adults and children in South Texas, with extensive biobanking and longitudinal follow-up. The cohort includes the Cameron County and Starr County sites. The fellow will work across this cohort and major national and international consortia and biobanks. They will investigate how genetic, molecular, metabolic and environmental factors shape risk of type 2 diabetes, obesity, fatty liver disease, heart failure and accelerated biological aging, from childhood through adulthood. Position Key Accountabilities: Lead independent, hypothesis-driven research in genetic and molecular epidemiology. Integrate genomic, epigenomic, transcriptomic, proteomic and metabolomic data to identify early molecular signatures of cardiometabolic disease Apply advanced statistical and machine learning methods to longitudinal and pediatric cohort data Lead analyses within multi-cohort consortia and collaborate with clinical, laboratory and field teams Publish in high-impact journals and present findings at national and international meetings Contribute to grant development and build an independent research program Mentor graduate students and research staff Promote rigorous, reproducible science and responsible data stewardship Performs other duties as assigned Preferred Skills/experience: Strong programming skills in R and/or Python, with experience in high-performance computing and Linux environments. Demonstrated experience analyzing large genetic, omic or epidemiologic datasets. A strong record of, or clear potential for, first-author publications. Excellent communication skills and a collaborative, team-oriented approach. Spanish language proficiency is welcome but not required. Minimum Education: Doctoral/Terminal Degree PhD in epidemiology, biostatistics, statistical genetics, bioinformatics, computational biology or a related field, preferred. 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. This position is a security-sensitive position pursuant to Texas Education Code 51.215 and Texas Government Code 411.094. To the extent that a position requires the holder to research, work on, or have access to critical infrastructure as defined in Texas Business and Commerce Code 117.001(2), the ability to maintain the security or integrity of the infrastructure is a minimum qualification to be hired for and to continue to be employed in that position. Personnel in such positions, and similarly situated state contractors, will be routinely reviewed to determine whether things such as criminal history or continuous connections to the government or political apparatus of a foreign adversary might prevent the applicant, employee, or contractor from being able to maintain the security or integrity of the infrastructure. A foreign adversary is a nation listed in 15 C.F.R. 791.4. #J-18808-Ljbffr UTHealth Houston