DescriptionWe are seeking a highly motivated Research Fellowto join a pathologistled research program focused on machine learning applicationsand disease-mechanism discovery in steatohepatitis. The fellow will contribute to building a multimodal research datasetintegrating EHR-derived clinical variables laboratory data whole-slide pathology images (WSI) and spatial biologyoutputs enabling translational and AI/ML studies.
Training objectives and expected outcomes
This is a mentored scholarly training role intended to develop the professional skills needed for an academic/research career.
By the end of the appointment period the fellow is expected to be able to:
- Design and document reproducible cohort selection logicusing EHR and lab data (inclusion/exclusion phenotyping rules data definitions)
- Perform and/or oversee high-quality chart review and structured data abstraction with rigorous QC and documentation
- Support WSI workflows(case/slide organization metadata linkage review logging) and coordinate linkage to spatial biology results
- Contribute to a research-ready multimodal dataset(data dictionary elements variable provenance harmonization notes QC checklists)
- Produce scholarly outputs including abstracts/manuscriptsand where appropriate pilot analyses that support downstream ML modeling and mechanistic hypotheses
Expected outcomes include a documented dataset module or milestone (e.g. a validated cohort curated feature set linked image/spatial metadata) and progress toward peer-reviewed publicationduring the appointment with mentorship support.
Key responsibilities (research scholarly development)
- Mastery of python codingincluding but not limited machine learning training using pytorch and mastery of bioinformatics analysis tools.
- Cohort identification/selection; protocol-driven eligibility screening
- Chart review and clinical variable abstraction; creation of clean research tables and tracking logs
- Whole-slide image organization and review support (as project-appropriate)
- Literature management (EndNote) and contribution to study documentation
- Participation in lab meetings and project updates; completion of anIndividual Development Plan (IDP)
- Manuscript/abstract preparation and submission support; encouraged to pursue extramural funding opportunities
A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education in research. Individuals will train in the research program of a Mayo Clinic principal investigator. Qualified individuals will demonstrate the potential for research as evidenced by their training and peer-reviewed publications and should become competitive for national research grants. Proof of English proficiency is required for J-1 Short-Term Scholars Research Scholars Professors Specialists and Student Interns sponsored by Mayo Clinic.
QualificationsMust have a Ph.D. M.D. or equivalent doctoral degree in a field deemed relevant by the program.
DescriptionWe are seeking a highly motivated Research Fellowto join a pathologistled research program focused on machine learning applicationsand disease-mechanism discovery in steatohepatitis. The fellow will contribute to building a multimodal research datasetintegrating EHR-derived clinical varia...
DescriptionWe are seeking a highly motivated Research Fellowto join a pathologistled research program focused on machine learning applicationsand disease-mechanism discovery in steatohepatitis. The fellow will contribute to building a multimodal research datasetintegrating EHR-derived clinical variables laboratory data whole-slide pathology images (WSI) and spatial biologyoutputs enabling translational and AI/ML studies.
Training objectives and expected outcomes
This is a mentored scholarly training role intended to develop the professional skills needed for an academic/research career.
By the end of the appointment period the fellow is expected to be able to:
- Design and document reproducible cohort selection logicusing EHR and lab data (inclusion/exclusion phenotyping rules data definitions)
- Perform and/or oversee high-quality chart review and structured data abstraction with rigorous QC and documentation
- Support WSI workflows(case/slide organization metadata linkage review logging) and coordinate linkage to spatial biology results
- Contribute to a research-ready multimodal dataset(data dictionary elements variable provenance harmonization notes QC checklists)
- Produce scholarly outputs including abstracts/manuscriptsand where appropriate pilot analyses that support downstream ML modeling and mechanistic hypotheses
Expected outcomes include a documented dataset module or milestone (e.g. a validated cohort curated feature set linked image/spatial metadata) and progress toward peer-reviewed publicationduring the appointment with mentorship support.
Key responsibilities (research scholarly development)
- Mastery of python codingincluding but not limited machine learning training using pytorch and mastery of bioinformatics analysis tools.
- Cohort identification/selection; protocol-driven eligibility screening
- Chart review and clinical variable abstraction; creation of clean research tables and tracking logs
- Whole-slide image organization and review support (as project-appropriate)
- Literature management (EndNote) and contribution to study documentation
- Participation in lab meetings and project updates; completion of anIndividual Development Plan (IDP)
- Manuscript/abstract preparation and submission support; encouraged to pursue extramural funding opportunities
A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education in research. Individuals will train in the research program of a Mayo Clinic principal investigator. Qualified individuals will demonstrate the potential for research as evidenced by their training and peer-reviewed publications and should become competitive for national research grants. Proof of English proficiency is required for J-1 Short-Term Scholars Research Scholars Professors Specialists and Student Interns sponsored by Mayo Clinic.
QualificationsMust have a Ph.D. M.D. or equivalent doctoral degree in a field deemed relevant by the program.
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