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

St. Jude Children's Research Hospital
Memphis, United States
8 days ago
Apply on arc.dev
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Data Integration Natural Language Processing Data Streaming Feature Engineering Large Language Models Deep Learning

Job description

Our Department’s mission is to conduct cutting-edge clinical, biological, and population-health research, and translate findings into effective strategies to avert or mitigate cancer-treatment-related complications and improve the quality of life of childhood cancer survivors. We are seeking a creative and collaborative data scientist to lead a vibrant research program at the intersection of data science and clinical/biological sciences.

We actively 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. Our research leverages 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 (whole genome/whole exome sequencing, RNA-seq, methylation, proteomics/metabolomics, CHIP) and biomarker profiles from biological samples
  • Physiological signals such as EKG
  • Longitudinal clinical, functional, and behavioral assessments
  • Usability evaluation
  • Geographical and spatiotemporal data on environmental and socioeconomic context, St. Jude Children’s Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

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, Successful applicants must hold a PhD or equivalent degree in the field of data science, have at least three years of relevant postgraduate experience, and have a proven track record of productivity.

About the company

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.

Our department encompasses a strong T32 Postdoctoral program, >130 staff members who supports maintaining and expanding activities of the two cohort studies and many ongoing R01- equivalent projects which are built on the two cohort studies. Apply

Join us in the exciting, rewarding mission of improving lives of childhood cancer survivors through rigorous, cutting-edge research that has strong institutional support and commitment!

St. Jude Children’s Research Hospital is a world-class research institution dedicated to pediatric cancer and other catastrophic diseases of childhood. We are the first and only National Cancer Institute (NCI)-designated Comprehensive Cancer Center devoted solely to children and have been recognized with the highest possible ranking of “exceptional” in our two most recent five-year reviews by the NCI. Our mission is to advance research and cures for pediatric cancer, the number one cause of death by disease for U.S. children past infancy. St. Jude is a highly interactive environment offering its faculty a remarkable opportunity to perform cutting-edge independent and collaborative research while receiving long-term institutional support past start-up to facilitate innovation and discovery.

We value different perspectives and intellectual discourse. We are committed to building an intellectually diverse community. St. Jude is consistently ranked on Fortune Magazine’s “100 Best Places to Work For” and is No. 9 on the 2018 Glassdoor “Best Place to Work” list for companies with 1,000 or more employees.

St. Jude is located in the heart of Memphis, Tennessee, a vibrant and friendly city at the historic American crossroads of music, trade, food, and culture. Mild winters and beautiful green outdoor spaces are part of the reasons why Forbes recently named Memphis the 4th happiest city in which to work. Cost of living and high quality of life are other attractions; in fact, Money magazine listed Memphis as one of the least expensive cities in which to raise a child. St. Jude facilities and salaries are highly competitive, and a generous start-up and benefit packages are included., St. Jude is recognized as one of the world’s premier pediatric research and treatment institutions with a focus on acute lymphoblastic leukemia, brain tumors and infectious diseases.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on arc.dev
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Building an AI operating system for clinical diagnostics

Alexandre Guenoun Alexandre Guenoun +3 · World Congress 2026 Europe

1:25 min

Distinguishing artificial intelligence from deep learning

Sam Witteveen · Coffee With Developers

1:50 min

Lowering pipeline latency with data streaming

Nathaniel Okenwa Nathaniel Okenwa · World Congress 2024

2:36 min

Defining data fabric for modern data integration

Andreas Christian · LIVE

8:51 min

Addressing technical strategies and interdisciplinary computing dynamics

Noah Weber · LIVE

2:17 min

Distinguishing between AI, machine learning, and deep learning

Mary Grygleski Mary Grygleski · LIVE

Videos

See all

Related articles

See all