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Flexible Biomedical Informatics Jobs in Arizona (NOW HIRING)

Flexible Biomedical Informatics information

What is the difference between Flexible Biomedical Informatics vs Clinical Data Analyst?

AspectFlexible Biomedical InformaticsClinical Data Analyst
Required CredentialsTypically requires degrees in biomedical informatics, health informatics, or related fields; certifications like CDIP or CPHIMS are commonOften requires degrees in health informatics, statistics, or related fields; certifications like CDAP or CAP may be preferred
Work EnvironmentResearch labs, hospitals, biotech companies, or academic institutionsHospitals, clinics, healthcare organizations, or research institutions
Employer & Industry UsageUsed in biomedical research, healthcare IT, and academiaPrimarily in healthcare delivery settings focusing on data management and reporting

Flexible Biomedical Informatics and Clinical Data Analysts both work with healthcare data, but the former focuses on integrating biomedical data and developing informatics solutions, while the latter emphasizes analyzing clinical data for reporting and decision-making. Understanding these differences helps professionals choose the right career path or job search focus.

What is a Flexible Biomedical Informatician?

A Flexible Biomedical Informatician is a professional who applies information technology and data science principles to the field of medicine and biology, while often working in a dynamic or adaptable role. This flexibility may refer to their ability to work across various domains such as clinical informatics, bioinformatics, or health data analysis, and to adapt to different projects, technologies, or work settings. Their work typically involves managing, analyzing, and interpreting complex biological or clinical data to support research, patient care, or healthcare operations. The role demands both technical skills and domain knowledge in biomedical sciences. Flexible Biomedical Informaticians often collaborate with clinicians, researchers, and IT professionals to improve healthcare outcomes.

What are the key skills and qualifications needed to thrive as a Biomedical Informatics Specialist, and why are they important?

To thrive as a Biomedical Informatics Specialist, you need a solid background in biology or healthcare, computer science, and data analysis, often supported by an advanced degree in biomedical informatics or a related field. Familiarity with programming languages (such as Python or R), clinical databases, EHR systems, and data standards like HL7 or FHIR is typically required. Strong analytical thinking, problem-solving, and effective communication skills help bridge gaps between technical teams and healthcare professionals. These competencies ensure accurate data management, improved healthcare outcomes, and successful integration of technology in medical environments.

How does a Flexible Biomedical Informatics professional typically collaborate with clinical and research teams?

Flexible Biomedical Informatics professionals often serve as a bridge between IT, clinical staff, and research teams, facilitating the integration and analysis of complex biomedical data. They regularly participate in interdisciplinary meetings to understand project goals, data requirements, and compliance needs. Effective communication and adaptability are essential, as these professionals translate technical concepts for non-technical stakeholders and adjust solutions to fit evolving project demands. Collaboration tools and shared platforms are frequently used to ensure smooth workflow and data sharing across departments.
What are popular job titles related to Flexible Biomedical Informatics jobs in Arizona? For Flexible Biomedical Informatics jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Flexible Biomedical Informatics jobs in Arizona look for? The top searched job categories for Flexible Biomedical Informatics jobs in Arizona are:
What cities in Arizona are hiring for Flexible Biomedical Informatics jobs? Cities in Arizona with the most Flexible Biomedical Informatics job openings:
Infographic showing various Flexible Biomedical Informatics job openings in Arizona as of June 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.
Digital Pathology AI Specialist / Computational Pathology Scientist

Digital Pathology AI Specialist / Computational Pathology Scientist

Mayo Clinic

Scottsdale, AZ • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 8 days ago


Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 678 frontline employees who took The Breakroom Quiz

130th of 871 rated healthcare providers


Job description

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.

Responsibilities

Mayo Clinic Arizona seeks an outstanding scientist for the position of Senior Associate Consultant in Digital Pathology AI / Computational Pathology. This dedicated leadership role focuses on shaping the development, validation, and deployment of machine-learning and AI tools for histopathology images and integrated clinical datasets.

You will lead end-to-end AI initiatives - from problem framing, data curation, multimodal data acquisition, modeling, rigorous evaluation, regulatory considerations, and clinical integration, while collaborating closely with a team of pathologists already engaged in digital pathology work within the department, as well as enterprise informatics, IT teams, computational experts, and clinicians to develop secure, reliable MLOps pipelines.

This pivotal position directly advances DLMP Arizona's digital pathology program by providing essential in-house AI expertise, fully aligning with Mayo Clinic's enterprise-wide Digital Pathology strategic vision. This initiative leverages vast digitized archives (over 15 million slides linked to millions of patient records) to make images and metadata broadly available for practice digitization, AI applications, and a world-class ecosystem of tools and workflows that differentiate Mayo's pathology services. You will champion Mayo's three shields of clinical practice, research, and education by:

  • Leading the creation and deployment of home-grown AI algorithms to enhance cancer diagnosis, precision medicine, prognostic modeling, and patient care priorities at MCA (e.g., cancer risk assessment, early detection, transplant pathology).

  • Developing AI-assisted tools and educational platforms for pathology trainees and faculty.

  • Driving multidisciplinary research collaborations within DLMP Arizona and across the Mayo enterprise, harnessing one of the world's largest digitized pathology repositories.

Join a growing, innovative team in Arizona dedicated to transforming pathology through AI, advancing capabilities equitably across Mayo sites, and delivering profound impact for patients, researchers, and educators.


Qualifications
  • PhD (required) or MD/PhD in Computer Science, Biomedical Informatics, Data Science, Biomedical Engineering, or a related field, with demonstrated expertise in AI/machine learning applied to digital pathology or medical imaging. Exceptional MD candidates with requisite AI expertise and a strong translational research track record will also be considered.

  • Strong background in histopathology image analysis (computer vision), deep learning frameworks (e.g., PyTorch, TensorFlow), multimodal data integration (including tabular ML and NLP scenarios), and healthcare AI deployment/MLOps.

  • Proven track record of research productivity, including publications in computational pathology/AI, model development, and translational applications.

  • Experience in interdisciplinary collaboration, preferably in a clinical or academic medical setting.

  • Excellent communication skills for team leadership, education, and stakeholder engagement.

This position includes an academic appointment commensurate with experience in the Mayo Clinic College of Medicine and Science, generous protected time for research and innovation, and access to unparalleled resources. Mayo Clinic offers highly competitive compensation, comprehensive benefits, and opportunities for professional growth in a collaborative, mission-driven environment.

Apply today to shape AI-enabled pathology at Mayo Clinic Arizona! 

Interested candidates should submit a CV, cover letter, and statement of research interests and vision.


Exemption Status
Exempt
Benefits Eligible
Yes
Schedule
Full Time
Hours/Pay Period
80
International Assignment
No
Site Description
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. 

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the 'EOE is the Law'.  Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

Recruiter
Kim Cota-RoblesQualifications:
  • PhD (required) or MD/PhD in Computer Science, Biomedical Informatics, Data Science, Biomedical Engineering, or a related field, with demonstrated expertise in AI/machine learning applied to digital pathology or medical imaging. Exceptional MD candidates with requisite AI expertise and a strong translational research track record will also be considered.

  • Strong background in histopathology image analysis (computer vision), deep learning frameworks (e.g., PyTorch, TensorFlow), multimodal data integration (including tabular ML and NLP scenarios), and healthcare AI deployment/MLOps.

  • Proven track record of research productivity, including publications in computational pathology/AI, model development, and translational applications.

  • Experience in interdisciplinary collaboration, preferably in a clinical or academic medical setting.

  • Excellent communication skills for team leadership, education, and stakeholder engagement.

This position includes an academic appointment commensurate with experience in the Mayo Clinic College of Medicine and Science, generous protected time for research and innovation, and access to unparalleled resources. Mayo Clinic offers highly competitive compensation, comprehensive benefits, and opportunities for professional growth in a collaborative, mission-driven environment.

Apply today to shape AI-enabled pathology at Mayo Clinic Arizona! 

Interested candidates should submit a CV, cover letter, and statement of research interests and vision.


What Mayo Clinic employees say

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About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919