Faculty Position - Department of Epidemiology and Cancer Control, Data Science

About the role

The Department of Epidemiology and Cancer Control at St. Jude Children’s Research Hospital is recruiting an innovative data scientist to join our multidisciplinary team advancing research in childhood cancer survivorship as a Faculty Member at the FULL, ASSOCIATE, or ASSISTANT level.

Responsibilities

• Apply state-of-the-art computational methods to extract insights from high-dimensional, multimodal health data.
• Develop predictive and integrative models that transform survivorship care.
• Lead a vibrant research program at the intersection of data science and clinical/biological sciences.
• Collaborate across Cancer Center Programs, engaging with both clinic- and laboratory-based researchers to advance clinical care and knowledge of childhood cancer and associated late effects.
• Leverage diverse and complex data streams, including time-series and cross-sectional sensor data from wearable devices, image and video-based phenotyping for functional assessments, multi-omics, physiological signals, longitudinal clinical, functional, and behavioral assessments, and geographical and spatiotemporal data on environmental and socioeconomic context.

Requirements

• Advanced machine learning (deep learning, representation learning, probabilistic modeling).
• Natural language processing and large language models for extracting, structuring, and modeling high-dimensional, unstructured clinical notes, patient-reported narratives, and speech-derived phenotypes.
• AI-driven approaches for multimodal data integration and predictive analytics.
• Computational pipelines for large-scale biomedical datasets.
• Interest in causal inference, risk stratification, and precision medicine.
• Experience in transforming complex clinical/biological data into meaningful representations (including advanced feature engineering).
• Experience applying pretrained foundation models or self-supervised learning approaches to biomedical data.
• AI agents for orchestrating multi-stream data integration, real-time analytics, and decision-support workflows in survivorship research.

Qualifications

• PhD or equivalent degree in the field of data science.
• At least three years of relevant postgraduate experience.
• Proven track record of productivity.

Skills

• Advanced machine learning (deep learning, representation learning, probabilistic modeling).
• Natural language processing and large language models for extracting, structuring, and modeling high-dimensional, unstructured clinical notes, patient-reported narratives, and speech-derived phenotypes.
• AI-driven approaches for multimodal data integration and predictive analytics.
• Computational pipelines for large-scale biomedical datasets.
• Interest in causal inference, risk stratification, and precision medicine.
• Experience in transforming complex clinical/biological data into meaningful representations (including advanced feature engineering).
• Experience applying pretrained foundation models or self-supervised learning approaches to biomedical data.
• AI agents for orchestrating multi-stream data integration, real-time analytics, and decision-support workflows in survivorship research.

Benefits

Our department is home to both the Childhood Cancer Survivor Study with over 38,000 childhood cancer survivors diagnosed from 1970-1999 in North America, and the St. Jude Lifetime Cohort with over 6,000 clinically assessed childhood cancer survivors treated at St. Jude Children’s Research Hospital since 1962. These foundational studies are funded by the National Cancer Institute (NCI) and are unparalleled resources for research, with comprehensive characterizations of cancer treatment exposures/doses.

Pay

Salary is commensurate with experience.

Schedule

Full-time position.

Contact Information

Interested applicants should submit a curriculum vitae AND a 2-3 page summary of research interests directly online. More information: Gregory T. Armstrong, MD, MSCE Chair, Epidemiology and Cancer Control St. Jude Children’s Research Hospital 262 Danny Thomas Place, MS 735 Memphis, Tennessee, 38105 greg.armstrong@STJUDE.ORG