AI Data Scientist

FAVER Foundation

• $110K — $130K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD or MD/MD-PhD in biomedical engineering, computer science, computational biology, biomedical informatics, or related field.
  • Postdoctoral training or relevant research experience in AI applications in oncology.
  • Expertise in computer vision, deep learning, radiomics, pathomics, or radiogenomics.
  • Experience with multimodal data fusion and large language model applications.
  • Proven track record of securing external research funding and peer-reviewed publications.

Responsibilities

  • Develop and lead an independent or co-led research program in AI and precision oncology.
  • Collaborate with multidisciplinary teams on high-priority health questions for Veterans.
  • Contribute to multi-site studies across the national VA research network.
  • Mentor trainees and junior investigators in research methodologies.
  • Disseminate research findings through publications and presentations.

Benefits

  • Access to extensive VA research resources and clinical data.
  • Collaboration with leading experts in cancer care and research.
  • Opportunities for participation in national VA research collaborations.
  • Involvement in multidisciplinary clinical conferences.
  • Support for securing external funding for research projects.
Full Job Description
The Atlanta VA Medical Center (VAMC) Research Service seeks an outstanding investigator with expertise in advanced artificial intelligence methods to support and advance VA research focused on cancer detection, prognosis, treatment selection, and survivorship. The investigator will work in a multidisciplinary VA research environment and collaborate with computational scientists, oncologists, radiologists, pathologists, and other clinical and research professionals.

This position offers an exceptional opportunity to generate and translate practice-changing evidence on the responsible use of AI in oncology within the Veterans Health Administration (VHA), the nation's largest integrated health system. The work will focus on improving outcomes, reducing disparities, and enhancing patient safety for Veterans, including those affected by tobacco-, environmental-, and service-related cancer risks.

About the Opportunity
The successful candidate will lead or co-lead collaborative, innovative research applying AI to Veteran cancer care. Potential areas of research include:
• Radiopathomics: computational fusion of CT/MRI radiomics with digital pathology (H&E whole-slide) features to predict prognosis and treatment response in non-small cell and small cell lung cancer, prostate cancer, and other Veteran-prevalent malignancies.
• Computational pathology of the tumor microenvironment, including tumor-infiltrating lymphocyte architecture, vascular and stromal/collagen organization, and immune-cell spatial patterning, as prognostic and predictive biomarkers.
• Radiogenomics and multimodal data integration (clinical, imaging, pathology, and molecular/genomic) to improve cancer phenotyping, risk stratification, and prediction of response to immunotherapy and chemotherapy.
• AI-driven imaging biomarker development leveraging national data infrastructure such as the Medical Imaging and Data Resource Center (MIDRC), with an eye toward validation in VA's Corporate Data Warehouse (CDW), VA Science and Data Platform (SDP), and the Million Veteran Program (MVP).
• Emerging approaches involving agentic AI and foundation models for contextualized, multimodal cancer decision support and the development of interpretable clinical AI tools.

AI for cancer research and care delivery is a strategic priority for the Atlanta VAMC and the VA Office of Research and Development nationally, with growing emphasis on responsible, real-world implementation across the VA health care system. This work is well suited for external funding from federal agencies and other research sponsors, and the successful candidate will be positioned to translate advanced AI methods into pragmatic, implementation-focused research that benefits Veterans nationwide.

VA Research Environment
This role is embedded within the Atlanta VAMC Research Service and supports a broad portfolio of collaborative research addressing high-priority health concerns affecting Veterans. The research environment brings together investigators, clinicians, data scientists, and research staff with expertise in cancer, medical imaging, digital pathology, precision medicine, and health care delivery.

The successful candidate will benefit from access to VA research resources, relevant clinical and imaging data, established computational capabilities, and close collaboration with VA clinical and research leadership. Opportunities may also include participation in multidisciplinary clinical conferences, national VA research collaborations, and projects using VA data platforms and other approved research infrastructure.

Strategic Impact
This recruitment will strengthen the Atlanta VA's capacity for AI-enabled precision oncology research and implementation science. The position will help advance the development and evaluation of radiopathomic and multimodal AI approaches for Veteran cancer screening, diagnosis, prognosis, and treatment; support the responsible integration of research findings into VA care; and contribute to equitable, evidence-based cancer care for Veterans, including those affected by service-related and environmental exposures.

Key Responsibilities
Develop and sustain an independent or co-led, externally funded research program in AI and precision oncology within VA; collaborate with VA investigators, clinicians, data scientists, and research staff on high-priority Veteran health questions; contribute to multidisciplinary and multi-site studies across the national VA research network; mentor trainees and junior investigators; and disseminate findings through peer-reviewed publications, national presentations, and competitive grant applications.

Qualifications
PhD with postdoctoral training, or MD/MD-PhD with relevant research training, in biomedical engineering, computer science, computational biology, biomedical informatics, or a related quantitative field. Candidates should demonstrate expertise in one or more of the following: computer vision and deep learning for radiology or digital pathology images; radiomics, pathomics, or radiogenomics; multimodal data fusion; or large language model/agentic AI applications in oncology. Experience securing or competing for external research funding (e.g., NIH/NCI, VA Merit Review), a strong record of peer-reviewed publications, and the ability to work effectively in a multidisciplinary, clinician-integrated VA research environment are expected. Eligibility for a VA research appointment (including any required background processes) is required; rank and appointment level (e.g., Research Health Scientist, Research Career Scientist track) will be commensurate with qualifications and experience.

Commitment to Inclusion
The Atlanta VA Medical Center is committed to equity, inclusion, and diversity in research and care. Veterans, women, and applicants from groups underrepresented in medicine and science are strongly encouraged to apply.

Application Process
Interested candidates should submit a curriculum vitae (CV) and a cover letter (maximum 2 pages) describing research interests, career goals, and relevance to AI in precision oncology and VA cancer care.

Location: Atlanta VA Medical Center, Decatur, Georgia

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