Biostatistician - School of Public Health
About The Position
We are hiring a Biostatistician (Casual/ 10 hrs week) to join the UTHealth Houston School of Public Health in Houston. In this role, you will provide statistical and computational support for research using large datasets, including wearable, clinical, epidemiological, and genetic/genomic data. Works in cloud or high-performance computing environments and supports studies involving sleep, bioinformatics, and population health. Ideal candidate should be comfortable with cloud computing (Google cloud, AWS, etc). 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! 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: Provides statistical and computational support for research using large datasets, including wearable, clinical, epidemiologic, and genetic/genomic data. Works in cloud or high-performance computing environments and supports studies involving sleep, bioinformatics, and population health. Position Key Accountabilities: Collaborates with investigators on study design, protocols, statistical analysis plans, and interpretation of results. Processes and analyzes large-scale longitudinal wearable data, including sleep, activity, heart rate, and circadian measures. Integrates wearable-derived measures with clinical, epidemiologic, and genetic/genomic datasets. Develops reproducible analytic pipelines using R and/or Python in cloud or high-performance computing environments. Performs statistical analyses for longitudinal studies. Conducts data cleaning, quality control, harmonization. May conduct ad hoc analyses. Performs other duties as assigned.
Requirements
- Master's Degree in related health science required
- 2 years of statistician experience required.
- Strong statistical programming and data-management skills.
- Ability to work with large, multimodal datasets and reproducible analytic workflows.
Nice To Haves
- Doctorate Degree - PhD preferred
- Experience in data analysis of large administrative datasets (claims, registries, EMR) and observational studies, preferred.
- SAS experienced preferred
- 2 years of statistical or computational analysis experience in biomedical or health research, preferred.
- Experience working with large datasets and programming in R and/or Python, preferred.
- Experience with cloud computing and/or high-performance computing, preferred.
- Experience with longitudinal analysis, epidemiology, or bioinformatics, preferred.
Responsibilities
- Collaborates with investigators on study design, protocols, statistical analysis plans, and interpretation of results.
- Processes and analyzes large-scale longitudinal wearable data, including sleep, activity, heart rate, and circadian measures.
- Integrates wearable-derived measures with clinical, epidemiologic, and genetic/genomic datasets.
- Develops reproducible analytic pipelines using R and/or Python in cloud or high-performance computing environments.
- Performs statistical analyses for longitudinal studies.
- Conducts data cleaning, quality control, harmonization.
- May conduct ad hoc analyses.
- Performs other duties as assigned.
Benefits
- 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)
- Retirement/pension plan
- 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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Part-time
Career Level
Mid Level
