Postdoctoral Associate - Clinical Epidemiology
- Baylor College of Medicine
- Location: Houston, TX
- Job Number: 7328797 (Ref #: 24644-en_US)
- Posting Date: Newly posted
Job Description
Summary
The Department of Pediatrics is seeking a Postdoctoral Associate to use data science tools and population health techniques to improve outcomes for children with cancer and blood disorders globally. This position splits time evenly between maintaining data pipelines and conducting analyses for the Global HOPE capacity-building program in Sub-Saharan Africa and conducting epidemiological research on pediatric cancer disparities for patients treated in the US. The Postdoctoral Associate will use R or Python to maintain data pipelines, develop interactive dashboards, perform survival analyses, and conduct research in health outcomes disparities and predictors of treatment success for children with cancer.
Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.
Job Duties
- Supports the construction and maintenance of data pipelines. Maintains and further develops the existing data pipeline used for Monitoring & Evaluation (M&E) of the Global HOPE initiative, ensuring data integrity across partner sites in Sub-Saharan Africa.
- Designs and builds interactive data dashboards to visualize key performance indicators, patient volumes, and program outcomes for stakeholders. Develops dashboards for program operations and research.
- Designs and develops statistical analysis for research. Analyzes programmatic data to support the Global HOPE mission of training pediatric hematologist-oncologists and building treatment capacity in partner countries.
- Assists in interpretation of data.
- Investigates treatment-associated toxicities using clinical data to develop predictive risk models.
- Applies survival analysis techniques to evaluate long-term outcomes in diverse pediatric patient populations.
- Leads production of scientific abstracts and manuscripts for scientific community.
- Contributes to grant writing and study development.
- Leads the writing and prepares manuscripts for peer-reviewed journals and present findings at national and international conferences.
- Provides technical guidance to junior data analysts or research coordinators, but primarily an individual contributor role.
- Performs other job-duties as assigned.
Minimum Qualifications
- MD or Ph.D. in Basic Science, Health Science, or a related field.
- No experience required.
Preferred Qualifications
- PhD in Epidemiology, Biostatistics, Data Science, Bioinformatics, or a related field; OR an MD with a strong quantitative background/Master’s degree in a quantitative field.
- Experience developing data dashboards (e.g., Shiny, Dash, Tableau, or PowerBI).
- Strong background in survival analysis and regression modeling.
- Experience with data engineering or maintaining data pipelines (ETL processes).
- Experience in Global Health or working with international datasets (specifically Sub-Saharan Africa).
- Prior experience with clinical or healthcare data (EHR, registries).
- High proficiency in coding with R or Python for data cleaning, analysis, and visualization.
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
Nature; PD; SN
Baylor College of Medicine fosters diversity among its students, trainees, faculty and staff as a prerequisite to accomplishing our institutional mission, and setting standards for excellence in training healthcare providers and biomedical scientists, promoting scientific innovation, and providing patient-centered care. - Diversity, respect, and inclusiveness create an environment that is conducive to academic excellence, and strengthens our institution by increasing talent, encouraging creativity, and ensuring a broader perspective. - Diversity helps position Baylor to reduce disparities in health and healthcare access and to better address the needs of the community we serve. - Baylor is committed to recruiting and retaining outstanding students, trainees, faculty and staff from diverse backgrounds by providing a welcoming, supportive learning environment for all members of the Baylor community.
