Job Title: Personalized Medicine Research Fellowship

Summary:  The Center for Biomedical Informatics (CBMI), Harvard Medical School has one research fellowship available for immediate appointment. The position is part of the Laboratory for Personalized Medicine (LPM, lpm.hms.harvard.edu) program to reengineer translational science and accelerate the migration of biomedical informatics methodology, analysis and applications into the clinical enterprise in support of personalized medicine.

LPM's objective is to identify clinically impactful devices, procedures, and biomedical informatics resources; test the clinical validity of those items with likely impact in the personal medicine clinical enterprise; and to execute high priority projects that translate key technologies into the clinical IT enterprise in support of personalized, preventive health care.  The long-term goal is to create a translational science method and environment that supports the continuous and systematic testing and translation of highest priority technologies and discoveries into the clinical enterprise.  This objective is at the heart of translational science and will support the joint HMS and Harvard Affiliate CTSC efforts.

Role and Duties:  As a member of LPM, the Fellow is expected to assume important roles in prioritized LPM projects including: work with LPM project leadership to identify and describe key pilot projects, participate in multidisciplinary project team projects to achieve research milestones, provide teaching assistance to the Bioinformatics Track in the Master of Medical Sciences in Biomedical Informatics program at Harvard Medical School, and support basic science, clinical researchers, and LPM's healthcare collaborations.

Qualifications:   The ideal candidate has received their PhD in biomedical informatics, biomedical science or clinical informatics field and/or MD, RN, or related advance clinical degree within the last three years.   Candidate must excel at modern bioinformatics skills such as python, pearl, R, cluster computing or similar.  Preference will be given to applicants with demonstrated research aptitude and a driving interest in improving the healthcare system. The diversity of subject matter will require a creative mind, deploying imaginative strategies, dedicated to solving complex and challenging problems. Applicants should be highly motivated and flexible, with excellent communication skills, and work well within an interdisciplinary environment.

How to apply:    Email applications including curriculum vitae, summary statement of personal objective and research interests, PDFs of no more than three papers, and the names and email addresses of three references to: Peter J. Tonellato, Ph.D., peter_tonellato@hms.harvard.edu<mailto:peter_tonellato@hms.harvard.edu> , 617-432-7185

For general interest in working at the LPM send CV, statement of objective and interests.





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