1

Ai Cancer Research Jobs (NOW HIRING)

... AI tools to facilitate scientific discovery in domains such as biology, cancer research, neuroscience, social science, etc. • Designing, building, and training machine learning or language models ...

... AI tools to facilitate scientific discovery in domains such as biology, cancer research, neuroscience, social science, etc. • Designing, building, and training machine learning or language models ...

... AI tools to facilitate scientific discovery in domains such as biology, cancer research, neuroscience, social science, etc. • Designing, building, and training machine learning or language models ...

Research Technician

Chicago, IL · On-site

$18.50 - $25.50/hr

Consistently ranked as one of the top cancer programs in the country, the Section includes ... Cover Letter (preferred) The University of Chicago uses AI-assisted tools to streamline and augment ...

Research Specialist 1

Chicago, IL · On-site

$19.23 - $26.44/hr

The lab has expertise in cancer immunology, chemical biology, and drug delivery to carry out our ... Resume (required) The University of Chicago uses AI-assisted tools to streamline and augment some ...

Showing results 41-60

Ai Cancer Research information

See salary details

$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.
More about Ai Cancer Research jobs
What cities are hiring for Ai Cancer Research jobs? Cities with the most Ai Cancer Research job openings:
What states have the most Ai Cancer Research jobs? States with the most job openings for Ai Cancer Research jobs include:
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.

Senior Director, AI Innovations

Dana-Farber Cancer Institute

Boston, MA • On-site

$247K - $284K/yr

Full-time

Re-posted 28 days ago


Dana-Farber Cancer Institute rating

8.1

Company rating: 8.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz


Job description

The Senior Director, AI Innovations serves as a strategic leader within Dana-Farber’s AI Innovation Center, responsible for advancing high-priority AI-related initiatives that support the Institute’s research, clinical, and operational priorities. Reporting to the AI Center Lead, this role develops and manages implementation of an integrated strategic plan for AI innovation and supports related business and operating plans across the Institute. The position works closely with executive leadership, faculty, and internal and external partners to assess opportunities, address risks, and align AI initiatives with institutional goals. This role requires strong strategic planning, program leadership, analytical, and stakeholder management capabilities in a complex academic healthcare and research environment.

Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.
 

Primary Duties and Responsibilities:

  • Leads development and implementation of the Institute’s AI innovation strategic plan in partnership with the AI Center Lead and executive leadership, identifying strategic priorities, dependencies, resource needs, and implementation requirements across research, clinical, and operational domains.
  • Conducts ongoing assessment of the AI, biomedical research, and healthcare landscape to identify emerging opportunities, institutional strengths, competitive risks, and market considerations relevant to Dana-Farber’s mission and long-term positioning.
  • Conduct requisite analyses and develop business and operating plans for priority AI and data science initiatives in collaboration with multiple Dana-Farber offices.
  • Provide project management assistance to ensure timely and successful execution of initiatives.
  • Foster the establishment of appropriate AI governance and lifecycle management, including considerations of ongoing capability evaluation, risk analysis, and accountability
  • Directs high-priority AI innovation initiatives from planning through execution, establishing project plans, governance structures, milestones, and accountability measures to support timely and effective delivery.
  • Develops business cases, operating models, and implementation plans for priority AI initiatives in collaboration with finance, research, clinical, digital, and administrative stakeholders across the Institute.
  • Establishes metrics, dashboards, and reporting processes to evaluate initiative progress, outcomes, and organizational impact, and provides regular updates, analyses, and recommendations to leadership.
  • Partners with faculty, institutional leaders, and external collaborators to align AI innovation efforts with strategic priorities, operational capabilities, research objectives, and evolving organizational needs.
  • Collaborates with AI Center leadership to guide and support interdisciplinary teams responsible for implementing AI innovation priorities across multiple workstreams.
  • Establish and manage strategic partnerships with industry leaders, academic institutions, and government agencies.

Knowledge, Skills and Abilities:

  • Expert knowledge of current and emerging AI technologies, trends, and applications relevant to biomedical research, healthcare delivery, and administrative operations.
  • Strong knowledge of strategic planning, research administration, business planning, market analysis, and enterprise program implementation in complex organizations.
  • Ability to translate emerging AI concepts into practical institutional strategies, operating models, and implementation plans.
  • Demonstrated ability to lead complex, cross-functional initiatives in a highly matrixed academic healthcare or research environment.
  • Strong analytical and critical thinking skills, including the ability to synthesize complex qualitative and quantitative information into actionable recommendations.
  • Excellent project and program management skills, with the ability to manage multiple priorities, deadlines, dependencies, and stakeholders simultaneously.
  • Ability to develop metrics, reporting frameworks, and performance monitoring tools to evaluate initiative success and support decision-making.
  • Strong interpersonal, written, and verbal communication skills, with the ability to influence senior leaders, faculty, and partners at all levels.
  • Ability to build collaborative relationships across research, clinical, operational, and administrative functions.
  • Strong judgment and adaptability in navigating ambiguity, organizational complexity, and evolving strategic priorities.
  • Knowledge of governance, change management, and organizational adoption considerations associated with enterprise innovation initiatives.
  • Commitment to fostering a collaborative, inclusive, and high-performing work environment.

Minimum Job Qualifications:

Master’s degree in life sciences, biomedical sciences, public health, business administration, health administration, data science, informatics, or related field required; Ph.D. preferred.

  • Minimum of 10 years of progressively responsible experience in strategic planning, research administration, innovation program leadership, or related management roles within a healthcare, academic medical center, research, or biomedical environment.
  • Demonstrated success leading large, cross-functional initiatives and translating strategy into operational execution required.
  • Experience in oncology, biomedical research, digital health, artificial intelligence, or data science-enabled transformation preferred.

Supervisory Responsibilities:

Patient Contact:

None

At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.

Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.  

EEO Poster.

Pay Transparency Statement

The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate’s relevant experience, skills and qualifications.

For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA).

$247,600.00 - $284,033.00

What Dana-Farber Cancer Institute employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Dana-Farber Cancer Institute logo

About Dana-Farber Cancer Institute

Sourced by ZipRecruiter

Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

Industry

Health care and social assistance

Company size

1,001 - 5,000 Employees

Headquarters location

Boston, MA, US

Year founded

1947