Postdoctoral fellow in the neuroscience of precision medicine for the brain Job at University of Pennsylvania, Philadelphia, PA

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  • University of Pennsylvania
  • Philadelphia, PA

Job Description

Job Description

Postdoctoral fellow in the neuroscience of precision medicine for the brain

Location: Philadelphia, PA
Open Date: Aug 02, 2023
Deadline:

The Penn Program on Precision Medicine for the Brain (P3MB), co-located in the Departments of Medicine, Medical Ethics and Health Policy, and Neurology at the Perelman School of Medicine at the University of Pennsylvania seeks a full-time postdoctoral fellow.

The highly collaborative and interdisciplinary P3MB research lab seeks to identify and understand the interrelated clinical, ethical, and policy implications of applying precision medicine to the brain and to translate these discoveries into practice. A particular focus is the movement of gene and biomarker tests from research into practice, including testing remote, video, or telephonic methods of disclosure; the role of neural correlates of consciousness as biomarkers of disease; establishing the value of a "preclinical therapy" and translating that into clinical practice; and advancing the concept of supported decision-making across the trajectory of cognitive decline.
Project methodologies are qualitative and quantitative data sources and conceptual work.

The fellow will work under the supervision of Dr. Jason Karlawish, a geriatrician and professor of medicine, medical ethics and health policy, and neurology, and colleagues from across the University, affording the opportunity to work with collaborators both at Penn and other institutions.

Ongoing research activities involve collaborations across the Perelman School of Medicine, the larger Penn community, and external institutions. We work closely with clinicians and researchers in the Penn Alzheimer Disease Research Center (ADRC), the NIA IMPACT Collaboratory, the Penn AI Tech Collaboratory, the Banner Alzheimer's Institute, and ADNI, among others.

This is a 12-month position with a desired start date of fall 2023, though earlier or later starts may be considered. Renewal for an additional year, contingent upon funding and success, is planned.

Qualifications
The applicant should have a doctoral-level degree in a relevant field, such as neuroscience, psychology, public health, philosophy, or bioethics. A strong candidate will have demonstrated a commitment to a career in the biosciences as well as an initiative and ability to conduct independent research. Excellent writing skills are essential. Interpersonal and communication skills are of course necessary as the candidate will work closely with collaborators.

The ideal applicant will have experience conducting qualitative and/or quantitative empirical research (i.e., interviews and/or surveys) and analyzing data. The lab has a particular interest in persons with skills to perform multi-variate analyses of cross-sectional and longitudinal data sets that capture measures of the impact of gene and biomarker disclosure, analyses of qualitative data from interviews with caregivers and clinicians (e.g., about mind and mind perception or decision making), and qualitative and quantitative studies of the neural correlates of consciousness. It is of course quite unlikely one person will embody all three skill sets.

Application Instructions
Interested applicants should upload the following materials:

- CV
- Cover letter or personal statement (two pages maximum)
- Writing sample (published or unpublished; must be solo or first-authored)

References will be requested for applicants who move on to interviews.

Applications will be accepted on a rolling basis until the position is filled.

Email Kristin Harkins (kristin.harkins@pennmedicine.upenn.edu) with any questions.

To apply, visit https://apply.interfolio.com/129171

Equal Employment Opportunity Statement

The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law.

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Job Tags

Full time, Local area, Remote job,

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