- Location
- College of Medicine, United States of America
- Workplace
- Remote, Hybrid
- Type
- Full-time
- Department
- Education
- Education
- PhD
- Source
- Workday
Description
APPLICATION INSTRUCTIONS:
CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants.
Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
This is a term position; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability of funding.
POSITION SPECIFICS
Position: Assistant Professor of Medicine
Department: Department of Medicine, Penn State College of Medicine
Position Summary: The Division of Nephrology in the Department of Medicine at Penn State College of Medicine invites applications for a non tenure line Assistant Professor in Medicine. We seek an innovative investigator with expertise in the application of epidemiology and machine learning methods in the study of cardiovascular-kidney-metabolic (CKM) syndrome, with a strong commitment to translational science and extramural funding.
This position will play a critical role in advancing research in nephrology, supporting interdisciplinary collaboration in the Department of Medicine.
Responsibilities: The successful candidate will:
- Develop and sustain an independent, externally funded research program.
- Provide expertise in epidemiology, machine learning, predictive modeling and work with large data.
- Collaborate with investigators across nephrology, cardiology, endocrinology, and translational medicine.
- Contribute to graduate and medical education, including mentorship of trainees and junior investigators.
- Participate in departmental service consistent with departmental expectations.
Qualifications
- PhD in epidemiology or related field.
- Demonstrated expertise in use of epidemiology or machine learning theory in study of chronic disease conditions.
- Strong record of peer-reviewed publications.
- Evidence of current or potential extramural funding.
- Commitment to collaborative and interdisciplinary research.
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
BENEFITS
Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional wellbeing. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children.
For more detailed information, please visit our Benefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral Benefits page.)
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.