Entering edit mode
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.ha
rvard.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.
[[alternative HTML version deleted]]