Artificial Intelligence Scientist
Mayo Clinic · Rochester, MN · 3 wk ago
Information Technology$137k–$280k/yrFull-time
We need to output HTML fragment with sections: About the role? The posting includes a paragraph about why Mayo Clinic is top-ranked etc. That's like an intro. Could be "About the role" or maybe "About Mayo Clinic". The instruction: use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We need to include sections only when posting has real specific content. We have content for: About Mayo Clinic (intro), Responsibilities, Qualifications (Education, Technical Proficiency, Core Skills, Preferred Qualifications & Experience), Benefits (Benefits Highlights), Pay (Compensation Detail), Schedule (Full Time Hours/Pay Period 80, Schedule Details). Also maybe "Skills" not separate; core skills could be under Qualifications. We'll follow.
We must not repeat job title as heading. No Job ID. Remove boilerplate: EEO, E-Verify, recruiter name? Probably remove Recruiter line. Also remove "Exemption Status Exempt" maybe not needed? It's metadata; could be folded into short p or drop. Probably drop.
We need to preserve all substantive information. So include the intro paragraph about Mayo Clinic being top-ranked etc. Also include "This position is limited tenure..." etc under Responsibilities? Actually that is after Responsibilities paragraph. It's about position details; could be part of Responsibilities or a separate section like "Position Details". But not in allowed headings. Could fold into Responsibilities as a paragraph.
We need to output only HTML fragment, no /. Use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We need to include sections only when posting has real specific content. We have content for: About Mayo Clinic (intro), Responsibilities, Qualifications (Education, Technical Proficiency, Core Skills, Preferred Qualifications & Experience), Benefits (Benefits Highlights), Pay (Compensation Detail), Schedule (Full Time Hours/Pay Period 80, Schedule Details). Also maybe "Skills" not separate; core skills could be under Qualifications. We'll follow.
We must not repeat job title as heading. No Job ID. Remove boilerplate: EEO, E-Verify, recruiter name? Probably remove Recruiter line. Also remove "Exemption Status Exempt" maybe not needed? It's metadata; could be folded into short p or drop. Probably drop.
We need to preserve all substantive information. So include the intro paragraph about Mayo Clinic being top-ranked etc. Also include "This position is limited tenure..." etc under Responsibilities? Actually that is after Responsibilities paragraph. It's about position details; could be part of Responsibilities or a separate section like "Position Details". But not in allowed headings. Could fold into Responsibilities as a paragraph.
We need to output only HTML fragment, no /. Use headings, - for lists,
for prose.
Let's extract content.
Intro: "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."
We could put under
About Mayo Clinic
or About the role. Since it's about Mayo Clinic, use About Mayo Clinic.
Responsibilities: The block starting "Responsibilities The Division of Informatics..." includes many bullet-like sentences. We'll convert to - . Need to preserve all details.
Responsibilities content:
- The Division of Informatics in the Department of Radiology at Mayo Clinic in Rochester, MN invites applications for an Artificial Intelligence Scientist position within our clinical AI team.
- The Department of Radiology has established a robust ecosystem supporting the discovery, development, translation, and clinical application of artificial intelligence.
- As this program evolves from early discovery toward broader clinical deployment, we are expanding the scientific and operational capabilities required to translate promising AI technologies into reliable, scalable, and sustainable clinical practice.
- The successful candidate will contribute to the full lifecycle of clinical artificial intelligence solutions, working at the intersection of artificial intelligence, engineering, and healthcare operations to help ensure that AI technologies are intentionally integrated into clinical workflows.
- Key Responsibilities Clinical Translation & Implementation Science: Develop and apply rigorous approaches for translating AI technologies into clinical practice. Evaluate where and how AI should be incorporated into clinical workflows, how human and AI capabilities should interact, and what implementation strategies are required to achieve adoption. Help move successful technologies beyond pilots toward scalable and sustainable clinical use.
- AI Product Release & Postproduction Monitoring: Support deployment and ongoing oversight of AI solutions in clinical production environments. Partner with technical and clinical teams to identify performance degradation and establish appropriate remediation and escalation processes.
- Scientific & Technical Leadership: Apply scientific rigor to the evaluation and implementation of AI technologies. Contribute to the development of methods, standards, frameworks, and best practices for responsible clinical AI deployment.
- Multidisciplinary Collaboration: Work effectively across organizational boundaries and multidisciplinary teams. Collaborate with data scientists, software engineers, informaticians, physicians, clinical staff, operational leaders, researchers, and external partners.
- Communication & Research: Communicate complex technical concepts clearly to both technical and nontechnical audiences. Opportunities may include peer-reviewed research, development of novel evaluation methodologies, presentations, intellectual property, and collaboration on externally funded research.
- This position is limited tenure, with anticipation of annual renewal. The successful candidate will have opportunities for professional growth and, depending on organizational needs and performance, potential transition to an ongoing position within Mayo Clinic.
- #RadMedPhysics (maybe a tag; could drop as boilerplate? It's a hashtag; maybe keep as part of responsibilities? Probably drop as not substantive.)
We'll keep the content.
Qualifications: includes Education, Technical Proficiency, Core Skills, Preferred Qualifications & Experience.
We'll structure as
Qualifications
then maybe subheadings? Not allowed; only h3 for section headings. Could keep as paragraphs with bold? But we must not invent headings. We'll just list as - for each bullet.
Education: "A doctoral degree (Ph.D., M.D., or equivalent) in a relevant scientific, engineering, computational, or quantitative field such as computer science, engineering, data science, biomedical informatics, operations research, applied mathematics, or a related discipline."
Technical Proficiency: "Demonstrated proficiency in artificial intelligence, machine learning, data analysis, scientific computing, or related technical methods."
Core Skills: "Excellent communication skills and a demonstrated ability to lead work across organizational boundaries."
Preferred Qualifications & Experience: list items:
- Experience Level: 3+ years of post-terminal degree experience.
- Environment Experience: Experience working within healthcare, medical imaging, biomedical informatics, clinical workflows, or other safety-critical and highly regulated environments.
- Technology Translation: Demonstrated experience translating advanced technologies from prototype or research settings into complex, real-world operational environments.
- Evidence of Innovation & Impact: A proven track record of professional impact, which may include:
- Successful AI, analytics, or advanced technology deployments in operational settings.
- Product development, translational research, patents, or technical leadership.
- Demonstrated improvements in clinical or operational outcomes.
- Peer-reviewed publications or an established publication record in artificial intelligence, biomedical informatics, healthcare engineering, implementation science, or related fields (valued but not explicitly required).
We'll flatten.
Benefits: Benefits Highlights list:
- 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.
Pay: Compensation Detail:
- "The minimum starting salary for PhD/Doctoral specialties may range from $136,643 to $280,250. This range reflects full-time total base compensation prior to consideration of additional experience or duties. Pay for the selected candidate will vary based on specialty, experience, FTE, internal equity, or external market data."
Schedule:
- "Benefits Eligible Yes"
- "Schedule Full Time Hours/Pay Period 80"
- "Schedule Details Traditional day hours – will be discussed at interview"
- "International Assignment No"
We could combine into a Schedule section.
We must not include headings with filler like "commensurate with experience". Not present.
We'll output HTML:
About Mayo Clinic
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.
Responsibilities
- The Division of Informatics in the Department of Radiology at Mayo Clinic in Rochester, MN invites applications for an Artificial Intelligence Scientist position within our clinical AI team.
- The Department of Radiology has established a robust ecosystem supporting the discovery, development, translation, and clinical application of artificial intelligence.
- As this program evolves from early discovery toward broader clinical deployment, we are expanding the scientific and operational capabilities required to translate promising AI technologies into reliable, scalable, and sustainable clinical practice.
- The successful candidate will contribute to the full lifecycle of clinical artificial intelligence solutions, working at the intersection of artificial intelligence, engineering, and healthcare operations to help ensure that AI technologies are intentionally integrated into clinical workflows.
- Key Responsibilities Clinical Translation & Implementation Science: Develop and apply rigorous approaches for translating AI technologies into clinical practice. Evaluate where and how AI should be incorporated into clinical workflows, how human and AI capabilities should interact, and what implementation strategies are required to achieve adoption. Help move successful technologies beyond pilots toward scalable and sustainable clinical use.
- AI Product Release & Postproduction Monitoring: Support deployment and ongoing oversight of AI solutions in clinical production environments. Partner with technical and clinical teams to identify performance degradation and establish appropriate remediation and escalation processes.
- Scientific & Technical Leadership: Apply scientific rigor to the evaluation and implementation of AI technologies. Contribute to the development of methods, standards, frameworks, and best practices for responsible clinical AI deployment.
- Multidisciplinary Collaboration: Work effectively across organizational boundaries and multidisciplinary teams. Collaborate with data scientists, software engineers, informaticians, physicians, clinical staff, operational leaders, researchers, and external partners.
- Communication & Research: Communicate complex technical concepts clearly to both technical and nontechnical audiences. Opportunities may include peer-reviewed research, development of novel evaluation methodologies, presentations, intellectual property, and collaboration on externally funded research.
- This position is limited tenure, with anticipation of annual renewal. The successful candidate will have opportunities for professional growth and, depending on organizational needs and performance, potential transition to an ongoing position within Mayo Clinic.
Qualifications
- Education: A doctoral degree (Ph.D., M.D., or equivalent) in a relevant scientific, engineering, computational, or quantitative field such as computer science, engineering, data science, biomedical informatics, operations research, applied mathematics, or a related discipline.
- Technical Proficiency: Demonstrated proficiency in artificial intelligence, machine learning, data analysis, scientific computing, or related technical methods.
- Core Skills: Excellent communication skills and a demonstrated ability to lead work across organizational boundaries.
- Preferred Qualifications & Experience:
- Experience Level: 3+ years of post-terminal degree experience.
- Environment Experience: Experience working within healthcare, medical imaging, biomedical informatics, clinical workflows, or other safety-critical and highly regulated environments.
- Technology Translation: Demonstrated experience translating advanced technologies from prototype or research settings into complex, real-world operational environments.
- Evidence of Innovation & Impact: A proven track record of professional impact, which may include:
- Successful AI, analytics, or advanced technology deployments in operational settings.
- Product development, translational research, patents, or technical leadership.
- Demonstrated improvements in clinical or operational outcomes.
- Peer-reviewed publications or an established publication record in artificial intelligence, biomedical informatics, healthcare engineering, implementation science, or related fields (valued but not explicitly required).
Benefits
- 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.
Pay
The minimum starting salary for PhD/Doctoral specialties may range from $
- for lists,
for prose. Let's extract content. Intro: "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." We could put under
About Mayo Clinic
or About the role. Since it's about Mayo Clinic, use About Mayo Clinic. Responsibilities: The block starting "Responsibilities The Division of Informatics..." includes many bullet-like sentences. We'll convert to- . Need to preserve all details.
Responsibilities content:
- The Division of Informatics in the Department of Radiology at Mayo Clinic in Rochester, MN invites applications for an Artificial Intelligence Scientist position within our clinical AI team.
- The Department of Radiology has established a robust ecosystem supporting the discovery, development, translation, and clinical application of artificial intelligence.
- As this program evolves from early discovery toward broader clinical deployment, we are expanding the scientific and operational capabilities required to translate promising AI technologies into reliable, scalable, and sustainable clinical practice.
- The successful candidate will contribute to the full lifecycle of clinical artificial intelligence solutions, working at the intersection of artificial intelligence, engineering, and healthcare operations to help ensure that AI technologies are intentionally integrated into clinical workflows.
- Key Responsibilities Clinical Translation & Implementation Science: Develop and apply rigorous approaches for translating AI technologies into clinical practice. Evaluate where and how AI should be incorporated into clinical workflows, how human and AI capabilities should interact, and what implementation strategies are required to achieve adoption. Help move successful technologies beyond pilots toward scalable and sustainable clinical use.
- AI Product Release & Postproduction Monitoring: Support deployment and ongoing oversight of AI solutions in clinical production environments. Partner with technical and clinical teams to identify performance degradation and establish appropriate remediation and escalation processes.
- Scientific & Technical Leadership: Apply scientific rigor to the evaluation and implementation of AI technologies. Contribute to the development of methods, standards, frameworks, and best practices for responsible clinical AI deployment.
- Multidisciplinary Collaboration: Work effectively across organizational boundaries and multidisciplinary teams. Collaborate with data scientists, software engineers, informaticians, physicians, clinical staff, operational leaders, researchers, and external partners.
- Communication & Research: Communicate complex technical concepts clearly to both technical and nontechnical audiences. Opportunities may include peer-reviewed research, development of novel evaluation methodologies, presentations, intellectual property, and collaboration on externally funded research.
- This position is limited tenure, with anticipation of annual renewal. The successful candidate will have opportunities for professional growth and, depending on organizational needs and performance, potential transition to an ongoing position within Mayo Clinic.
- #RadMedPhysics (maybe a tag; could drop as boilerplate? It's a hashtag; maybe keep as part of responsibilities? Probably drop as not substantive.)
We'll keep the content.
Qualifications: includes Education, Technical Proficiency, Core Skills, Preferred Qualifications & Experience.
We'll structure as
Qualifications
then maybe subheadings? Not allowed; only h3 for section headings. Could keep as paragraphs with bold? But we must not invent headings. We'll just list as- for each bullet.
Education: "A doctoral degree (Ph.D., M.D., or equivalent) in a relevant scientific, engineering, computational, or quantitative field such as computer science, engineering, data science, biomedical informatics, operations research, applied mathematics, or a related discipline."
Technical Proficiency: "Demonstrated proficiency in artificial intelligence, machine learning, data analysis, scientific computing, or related technical methods."
Core Skills: "Excellent communication skills and a demonstrated ability to lead work across organizational boundaries."
Preferred Qualifications & Experience: list items:
- Experience Level: 3+ years of post-terminal degree experience.
- Environment Experience: Experience working within healthcare, medical imaging, biomedical informatics, clinical workflows, or other safety-critical and highly regulated environments.
- Technology Translation: Demonstrated experience translating advanced technologies from prototype or research settings into complex, real-world operational environments.
- Evidence of Innovation & Impact: A proven track record of professional impact, which may include:
- Successful AI, analytics, or advanced technology deployments in operational settings.
- Product development, translational research, patents, or technical leadership.
- Demonstrated improvements in clinical or operational outcomes.
- Peer-reviewed publications or an established publication record in artificial intelligence, biomedical informatics, healthcare engineering, implementation science, or related fields (valued but not explicitly required).
We'll flatten.
Benefits: Benefits Highlights list:
- 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.
Pay: Compensation Detail:
- "The minimum starting salary for PhD/Doctoral specialties may range from $136,643 to $280,250. This range reflects full-time total base compensation prior to consideration of additional experience or duties. Pay for the selected candidate will vary based on specialty, experience, FTE, internal equity, or external market data."
Schedule:
- "Benefits Eligible Yes"
- "Schedule Full Time Hours/Pay Period 80"
- "Schedule Details Traditional day hours – will be discussed at interview"
- "International Assignment No"
We could combine into a Schedule section.
We must not include headings with filler like "commensurate with experience". Not present.
We'll output HTML:
About Mayo Clinic
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.
Responsibilities
- The Division of Informatics in the Department of Radiology at Mayo Clinic in Rochester, MN invites applications for an Artificial Intelligence Scientist position within our clinical AI team.
- The Department of Radiology has established a robust ecosystem supporting the discovery, development, translation, and clinical application of artificial intelligence.
- As this program evolves from early discovery toward broader clinical deployment, we are expanding the scientific and operational capabilities required to translate promising AI technologies into reliable, scalable, and sustainable clinical practice.
- The successful candidate will contribute to the full lifecycle of clinical artificial intelligence solutions, working at the intersection of artificial intelligence, engineering, and healthcare operations to help ensure that AI technologies are intentionally integrated into clinical workflows.
- Key Responsibilities Clinical Translation & Implementation Science: Develop and apply rigorous approaches for translating AI technologies into clinical practice. Evaluate where and how AI should be incorporated into clinical workflows, how human and AI capabilities should interact, and what implementation strategies are required to achieve adoption. Help move successful technologies beyond pilots toward scalable and sustainable clinical use.
- AI Product Release & Postproduction Monitoring: Support deployment and ongoing oversight of AI solutions in clinical production environments. Partner with technical and clinical teams to identify performance degradation and establish appropriate remediation and escalation processes.
- Scientific & Technical Leadership: Apply scientific rigor to the evaluation and implementation of AI technologies. Contribute to the development of methods, standards, frameworks, and best practices for responsible clinical AI deployment.
- Multidisciplinary Collaboration: Work effectively across organizational boundaries and multidisciplinary teams. Collaborate with data scientists, software engineers, informaticians, physicians, clinical staff, operational leaders, researchers, and external partners.
- Communication & Research: Communicate complex technical concepts clearly to both technical and nontechnical audiences. Opportunities may include peer-reviewed research, development of novel evaluation methodologies, presentations, intellectual property, and collaboration on externally funded research.
- This position is limited tenure, with anticipation of annual renewal. The successful candidate will have opportunities for professional growth and, depending on organizational needs and performance, potential transition to an ongoing position within Mayo Clinic.
Qualifications
- Education: A doctoral degree (Ph.D., M.D., or equivalent) in a relevant scientific, engineering, computational, or quantitative field such as computer science, engineering, data science, biomedical informatics, operations research, applied mathematics, or a related discipline.
- Technical Proficiency: Demonstrated proficiency in artificial intelligence, machine learning, data analysis, scientific computing, or related technical methods.
- Core Skills: Excellent communication skills and a demonstrated ability to lead work across organizational boundaries.
- Preferred Qualifications & Experience:
- Experience Level: 3+ years of post-terminal degree experience.
- Environment Experience: Experience working within healthcare, medical imaging, biomedical informatics, clinical workflows, or other safety-critical and highly regulated environments.
- Technology Translation: Demonstrated experience translating advanced technologies from prototype or research settings into complex, real-world operational environments.
- Evidence of Innovation & Impact: A proven track record of professional impact, which may include:
- Successful AI, analytics, or advanced technology deployments in operational settings.
- Product development, translational research, patents, or technical leadership.
- Demonstrated improvements in clinical or operational outcomes.
- Peer-reviewed publications or an established publication record in artificial intelligence, biomedical informatics, healthcare engineering, implementation science, or related fields (valued but not explicitly required).
Benefits
- 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.
Pay
The minimum starting salary for PhD/Doctoral specialties may range from $
- for each bullet.
Education: "A doctoral degree (Ph.D., M.D., or equivalent) in a relevant scientific, engineering, computational, or quantitative field such as computer science, engineering, data science, biomedical informatics, operations research, applied mathematics, or a related discipline."
Technical Proficiency: "Demonstrated proficiency in artificial intelligence, machine learning, data analysis, scientific computing, or related technical methods."
Core Skills: "Excellent communication skills and a demonstrated ability to lead work across organizational boundaries."
Preferred Qualifications & Experience: list items:
- Experience Level: 3+ years of post-terminal degree experience.
- Environment Experience: Experience working within healthcare, medical imaging, biomedical informatics, clinical workflows, or other safety-critical and highly regulated environments.
- Technology Translation: Demonstrated experience translating advanced technologies from prototype or research settings into complex, real-world operational environments.
- Evidence of Innovation & Impact: A proven track record of professional impact, which may include:
- Successful AI, analytics, or advanced technology deployments in operational settings.
- Product development, translational research, patents, or technical leadership.
- Demonstrated improvements in clinical or operational outcomes.
- Peer-reviewed publications or an established publication record in artificial intelligence, biomedical informatics, healthcare engineering, implementation science, or related fields (valued but not explicitly required).
We'll flatten.
Benefits: Benefits Highlights list:
- 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.
Pay: Compensation Detail:
- "The minimum starting salary for PhD/Doctoral specialties may range from $136,643 to $280,250. This range reflects full-time total base compensation prior to consideration of additional experience or duties. Pay for the selected candidate will vary based on specialty, experience, FTE, internal equity, or external market data."
Schedule:
- "Benefits Eligible Yes"
- "Schedule Full Time Hours/Pay Period 80"
- "Schedule Details Traditional day hours – will be discussed at interview"
- "International Assignment No"
We could combine into a Schedule section.
We must not include headings with filler like "commensurate with experience". Not present.
We'll output HTML:
- . Need to preserve all details.
Responsibilities content:
- The Division of Informatics in the Department of Radiology at Mayo Clinic in Rochester, MN invites applications for an Artificial Intelligence Scientist position within our clinical AI team.
- The Department of Radiology has established a robust ecosystem supporting the discovery, development, translation, and clinical application of artificial intelligence.
- As this program evolves from early discovery toward broader clinical deployment, we are expanding the scientific and operational capabilities required to translate promising AI technologies into reliable, scalable, and sustainable clinical practice.
- The successful candidate will contribute to the full lifecycle of clinical artificial intelligence solutions, working at the intersection of artificial intelligence, engineering, and healthcare operations to help ensure that AI technologies are intentionally integrated into clinical workflows.
- Key Responsibilities Clinical Translation & Implementation Science: Develop and apply rigorous approaches for translating AI technologies into clinical practice. Evaluate where and how AI should be incorporated into clinical workflows, how human and AI capabilities should interact, and what implementation strategies are required to achieve adoption. Help move successful technologies beyond pilots toward scalable and sustainable clinical use.
- AI Product Release & Postproduction Monitoring: Support deployment and ongoing oversight of AI solutions in clinical production environments. Partner with technical and clinical teams to identify performance degradation and establish appropriate remediation and escalation processes.
- Scientific & Technical Leadership: Apply scientific rigor to the evaluation and implementation of AI technologies. Contribute to the development of methods, standards, frameworks, and best practices for responsible clinical AI deployment.
- Multidisciplinary Collaboration: Work effectively across organizational boundaries and multidisciplinary teams. Collaborate with data scientists, software engineers, informaticians, physicians, clinical staff, operational leaders, researchers, and external partners.
- Communication & Research: Communicate complex technical concepts clearly to both technical and nontechnical audiences. Opportunities may include peer-reviewed research, development of novel evaluation methodologies, presentations, intellectual property, and collaboration on externally funded research.
- This position is limited tenure, with anticipation of annual renewal. The successful candidate will have opportunities for professional growth and, depending on organizational needs and performance, potential transition to an ongoing position within Mayo Clinic.
- #RadMedPhysics (maybe a tag; could drop as boilerplate? It's a hashtag; maybe keep as part of responsibilities? Probably drop as not substantive.)
We'll keep the content.
Qualifications: includes Education, Technical Proficiency, Core Skills, Preferred Qualifications & Experience.
We'll structure as