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Ai Cancer Research Jobs (NOW HIRING)

Dana-Farber Cancer Institute

... research, clinical, and business missions of Dana-Farber Cancer Institute (DFCI). The Senior ... Core Member of the Dana-Farber AI Governance Committee * Develops Institute AI policies and ...

Merck & Co.

$194K - $305K/yr

Artificial Intelligence (AI), Cancer Genomics, Cancer Research, Cloud Computing, Computational Methods, Data Science, Genomic Data Analysis, Machine Learning (ML), Multimodal, Multimodal Analysis ...

Dana-Farber Cancer Institute

Reporting to the AI Center Lead, this role develops and manages implementation of an integrated ... in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS ...

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$111.5K

$206K

How much do ai cancer research jobs pay per year?

As of Aug 10, 2026, the average yearly pay for ai cancer research in the United States is $200,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $205,000.00 and $205,000.00 per year, depending on experience, location, and employer.

What is the difference between Ai Cancer Research vs Data Scientist in Healthcare?

AspectAi Cancer ResearchData Scientist in Healthcare
Required CredentialsMaster's or PhD in Oncology, Bioinformatics, or related fields; experience with AI and machine learningBachelor's or Master's in Data Science, Computer Science, or related; knowledge of healthcare data
Work EnvironmentResearch labs, hospitals, biotech companiesHospitals, healthcare tech firms, research institutions
Industry UsageFocused on applying AI to cancer diagnosis, treatment, and researchAnalyzing healthcare data for insights, predictive modeling, and decision support

Ai Cancer Research and Data Scientist in Healthcare share skills in data analysis and AI, but Ai Cancer Research specializes in oncology applications, while Data Scientists in Healthcare work across broader medical data domains.

What is AI cancer research?

AI cancer research refers to the use of artificial intelligence technologies, such as machine learning and deep learning algorithms, to improve the detection, diagnosis, treatment, and understanding of cancer. Researchers use AI to analyze large datasets, including medical images and genetic information, to identify patterns and make predictions that can assist doctors and scientists. AI can help in discovering new cancer therapies, personalizing treatment plans, and enhancing early detection, ultimately aiming to improve patient outcomes and advance cancer care.

What are the key skills and qualifications needed to thrive as an AI cancer researcher?

To thrive as an AI Cancer Researcher, you need a strong background in computational biology, machine learning, and oncology, typically supported by an advanced degree in computer science, bioinformatics, or a related field. Proficiency with programming languages (such as Python or R), machine learning frameworks (like TensorFlow or PyTorch), and experience with large-scale biomedical datasets is essential. Critical thinking, problem-solving, and interdisciplinary collaboration are crucial soft skills for driving innovative research and translating findings into clinical impact. These skills and qualifications enable researchers to develop effective AI models that advance cancer diagnosis, treatment, and patient outcomes.

What are the typical challenges faced when integrating AI models into cancer research teams?

Integrating AI models into cancer research often involves navigating challenges such as ensuring high-quality, well-annotated data and fostering effective collaboration between data scientists and clinical researchers. Teams must address the complexity of medical data, maintain patient privacy, and validate AI findings with rigorous scientific standards. Open communication between AI specialists and oncology experts is crucial to develop models that are both accurate and clinically relevant, making interdisciplinary teamwork an essential part of daily responsibilities.
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Ai Cancer Research jobs near you
Infographic showing various Ai Cancer Research job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 4% Temporary, and 4% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $200,510 per year, or $96.4 per hour.

POST-DOCTORAL FELLOW IN CANCER RESEARCH - SPATIAL BIOLOGY AND PRECISION ONCOLOGY

Harvard University

Cambridge, MA • On-site

$53K - $72K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

80th of 617 rated colleges and universities

Job description

Details

Title POST-DOCTORAL FELLOW IN CANCER RESEARCH – SPATIAL BIOLOGY AND PRECISION ONCOLOGY

School Harvard Medical School

Department/Area Harvard Program in Therapeutic Science

Position Description

This Post-Doctoral Fellow position is part of our broader efforts to transform how cancers are classified, diagnosed, and treated through multiplexed tissue imaging, spatial multi-omics, and AI-driven analytics. The successful candidate will lead projects aimed at dissecting the molecular and cellular mechanisms that govern tumor progression, therapeutic response, and immune evasion across diverse cancer types, including rare and understudied malignancies. This position is expected to lead innovative studies advancing the molecular and spatial understanding of cancer; contribute to the development of image-based diagnostics and precision oncology strategies; publish findings in high-impact journals; and present at national/international meetings.

Basic Qualifications

  • Ph.D. in Molecular Biology, Genetics, Cell Biology, or a closely related field, with a strong emphasis on cancer research.
  • Demonstrated expertise in molecular biology techniques and omics technologies.
  • Experience with imaging technologies and computational data analysis preferred.
  • Strong publication record and evidence of research independence.
  • Excellent communication, teamwork, and problem-solving skills.

Additional Qualifications

Must provide: CV; cover letter highlighting research interests and experience; contact information for three references

Special Instructions

Contact Information

Sandro Santagata, MD, PhD

Contact Email ssantagata@bwh.harvard.edu

Salary Range

Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, can be found at https://postdoc.hms.harvard.edu/guidelines

Minimum Number of References Required 3

Maximum Number of References Allowed

Keywords

EEO/Non-Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.

Harvard has an equal employment opportunity (https://pa-hrsuite-production.s3.amazonaws.com/606/docs/1678254.pdf) policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy (https://pa-hrsuite-production.s3.amazonaws.com/606/docs/1674140.pdf) . Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

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