Assistant/Associate Professor of Computational Precision Health (UCSF UC Berkeley Joint Program[...]
Company: WiMLDS Inc
Location: San Francisco
Posted on: November 13, 2024
|
|
|
Job Description:
Assistant/Associate Professor of Computational Precision Health
(UCSF UC Berkeley Joint Program in CPH)
Application WindowOpen date: August 12, 2024
Next review date: Wednesday, Sep 11, 2024 at 11:59pm (Pacific
Time)Apply by this date to ensure full consideration by the
committee.
Final date: Thursday, Feb 12, 2026 at 11:59pm (Pacific
Time)Applications will continue to be accepted until this date, but
those received after the review date will only be considered if the
position has not yet been filled.
Position description
The UCSF UC Berkeley Joint Program in Computational Precision
Health is seeking an Assistant/Associate Professor of Computational
Precision for a full-time faculty position. The selected candidate
will be appointed at the level of Assistant/Associate Professor in
the In Residence series depending on qualifications.
The faculty member will establish a research program focused on
leveraging machine learning methods to integrate multiple
modalities of data (e.g., EHR, imaging, genomics) including
environmental exposure data into computational models for
prevention, diagnosis, and treatment of breast cancer, and for
mechanistic understanding of breast cancer etiology.
Successful applicants are expected to develop a nationally
recognized program and collaborate across disciplines to develop
research initiatives in computational precision health. They will
be expected to conduct teaching and research at both campuses in
the true spirit of the joint program. The candidate will be
responsible for teaching CPH PhD students and potentially
undergraduates at UC Berkeley as well. The appointee will be given
laboratory space at UCSF and/or UC Berkeley.
In addition, this faculty member will join a dynamic breast cancer
research team at UCSF's Breast Oncology Program, a National Cancer
Institute-designated cancer center. Candidates should have
experience with relevant AI/ML methods, epidemiologic modeling of
toxic exposures, and cost-benefit analyses of risk-based screening
and risk reduction policies. Successful candidates will therefore
have knowledge of cancer registries, databases that track
residential history, registries of hazardous exposures, and machine
learning methods for risk prediction, as well as knowledge of
personalized risk-based screening algorithms and cost analyses.
Candidates should demonstrate evidence of strong research
productivity, potential for securing extramural funding, and a
commitment to excellence in teaching and mentoring and to
collaborative research. We welcome scholars with a commitment to
and track record of promoting diversity, equity and inclusion in
the realms of research, teaching, and/or service. Experience with
training, mentoring, and/or research in low-resource countries will
be highly favorable. The ability to work well in a
multidisciplinary team environment is essential.
Qualifications: Completion of a doctoral degree (e.g., PhD, MD,
DNP, PharmD, DDS, or equivalent) or equivalent international
degree. Candidates who have an MD or equivalent and who intend to
be clinically active must also be Board-certified or Board-eligible
in their specialty and must possess (or be in the process of
obtaining) a valid California medical license and valid DEA.
Preferred/Desirable Qualifications: Candidates are preferred to
hold a doctorate degree in computer science, health informatics,
statistics, biostatistics, data science, epidemiology, engineering,
operations research, economics, health services research,
information sciences, or other computational fields, and/or a
medical, dental, nursing, pharmacy or public health degree with
demonstrated experience/training in the computational sciences or
health informatics.
The posted UC salary scales set the minimum pay determined by rank
and step appointment. The minimum base salary for this position is
$121,100-$189,500. This position includes membership in the health
sciences compensation plan which provides for eligibility for
additional compensation.
Please apply online with a CV, cover letter, statement of research,
statement of teaching, statement of contributions to diversity,
three relevant publications, and contact information for three
references. To receive full consideration, please submit all
materials prior to the initial review date. However, this position
will remain open until filled. Applicants' materials must list
current and/or pending qualifications upon submission. The selected
candidate must meet all of the qualifications at the time of
appointment.
Application Requirements
Reference requirements
--- 3 required (contact information only)
About UC San Francisco
As a University employee, you will be required to comply with all
applicable University policies and/or collective bargaining
agreements, as may be amended from time to time. Federal, state, or
local government directives may impose additional requirements.
UC San Francisco seeks candidates whose experience, teaching,
research, or community service has prepared them to contribute to
our commitment to diversity and excellence. The University of
California is an Equal Opportunity/Affirmative Action Employer. All
qualified applicants will receive consideration for employment
without regard to race, color, religion, sex, sexual orientation,
gender identity, national origin, disability, age or protected
veteran status.
Job locationSan Francisco and/or Berkeley, CA
#J-18808-Ljbffr
Keywords: WiMLDS Inc, Novato , Assistant/Associate Professor of Computational Precision Health (UCSF UC Berkeley Joint Program[...], Education / Teaching , San Francisco, California
|
Click
here to apply!
|
