Research Fellow HematologyOncology
Research Fellow HematologyOncology
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Job Description
We invite applications for a highly motivated Postdoctoral Fellow to join Dr. WiedmeierNutor Dr. Erin E. WiedmeierNutor Bio Laboratory in the Department of Hematology/Oncology at Mayo Clinic Arizona.
This role requires collaboration with biologists clinicians and bioinformaticians to analyze complex datasets. Expertise in data science bioinformatics and statistical analysis to support research aimed at understanding the biology of multiple myeloma and identifying biomarkers. Apply statistical methods to evaluate patient outcomes. Analyze next generation sequencing data single cell sequencing data and proteomics data. Integrate and analyze multiomics data.
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 peerreviewed publications and should become competitive for national research grants. Proof of English proficiency is required for J1 ShortTerm Scholars Research Scholars Professors Specialists and Student Interns sponsored by Mayo Clinic.
The following is required for completeness of application:
- Cover letter summarizing research training and accomplishments
- A personal statement of scientific interests and goals
- Current CV with publications and contact information of three references
- Proof of doctoral degree (copy of diploma or final transcript with English translation if applicable) or a letter from your universitys Registrar office indicating you have fulfilled all doctoral program requirements and are eligible to graduate.
Qualifications
Must have a Ph.D. M.D. or equivalent doctoral degree in a field deemed relevant by the program. Research Fellow is appropriate for individuals who have completed no more than one prior postdoctoral fellowship at Mayo Clinic or elsewhere.
The ideal candidate will be skilled and have experience in:
- Cancer Biology
- Bioinformatics
- Biostatistics
- Highly motivated and organized
Employment Type
Full-Time
