Postdoctoral Fellow

Vanderbilt; Nashville (TN); Hybrid; USD 52,000 - 70,000; Full time

Job summary

The Precision Nutrition Lab at Vanderbilt University Medical Center is seeking a postdoctoral fellow to advance AI and machine learning methods for integrating multi-omics and clinical data to drive precision health.

The successful candidate will focus on deep phenotyping, predictive modeling, and large-scale data integration, with strong programming in SQL, R, and Python. Opportunities exist to collaborate across Vanderbilt and contribute to manuscripts.

Qualifications

• PhD in a quantitative field (Biomedical Informatics, Bioinformatics, Computational Biology, CS, Biostatistics, or related).
• Strong programming experience in SQL, R, Python.
• Experience with high-dimensional, multi-omics or EHR data is desirable.

Responsibilities

• Develop and apply AI/ML methods for deep phenotyping and predictive modeling.
• Integrate multi-omics and clinical data for translational research.
• Harmonize and extract data from EHR systems; lead manuscript generation.

Tools

SQL

R

Python

Job description

The Precision Nutrition Lab at VUMC is seeking a highly motivated postdoctoral fellow to develop innovative AI and machine learning approaches for integrating multi-omics and clinical data to advance computational biomedical research, enable deep phenotyping, and support translational precision health.

Department Biomedical Informatics

Full Description

The Precision Nutrition Lab at Vanderbilt University Medical Center is seeking a motivated and independent postdoctoral fellow to join our research team. The successful candidate will contribute to the development and application of artificial intelligence and machine learning methods for deep phenotyping, predictive modeling, and large-scale integration of biological and clinical data. Experience working with complex, high-dimensional datasets, including multi-omics and longitudinal electronic health record (EHR) data, will be valuable for the successful completion of ongoing projects.

The fellow will develop and validate phenotype algorithms, extract and harmonize clinical data from EHR systems, and apply advanced computational approaches to address challenges in precision health and translational research. Candidates should have doctoral training in a quantitative discipline such as Biomedical Informatics, Bioinformatics, Computational Biology, Computer Science, Biostatistics, or a related field, along with strong programming skills in SQL, R, and Python. Opportunities also exist to contribute to software and analytical tool development, collaborate with investigators across Vanderbilt, and lead manuscripts arising from innovative interdisciplinary research projects.

The anticipated start date for this position is September 1, 2026, although an earlier start date may be considered.

Eligibility for postdoctoral appointments is subject to Vanderbilt University Medical Center policies and guidelines.