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Assistant Professor - Public Health Data Science - School of Public Health



Assistant Professor - Public Health Data Science - School of Public Health

Position overview Position title: Assistant Professor
Salary range: The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table(s) for the current salary scale(s) for this position: https://www.ucop.edu/academic-personnel-programs/_files/2023-24/oct-2023-acad-salary-scales/t1.pdf. The current nine-month academic year base salary for this position is $74,600-$97,200. "Off-scale salaries" and other components of pay, which would yield compensation that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions. During the summer, eligible academic year faculty with available funding may earn up to a maximum of one-third of the nine-month academic year base salary rate as additional compensation.

Anticipated start: July 1, 2024

Application Window
Open date: October 10, 2023

Next review date: Sunday, Dec 3, 2023 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.

Final date: Sunday, Dec 3, 2023 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 School of Public Health at the University of California, Berkeley, invites applications for a tenure-track Assistant Professor position in the Division of Biostatistics (BIO). The BIO Division offers the opportunity for interdisciplinary collaboration within the school and also the Interdepartmental Graduate Group in Biostatistics, which includes distinguished faculty and researchers from the Center for Computational Biology, Electrical Engineering and Computer Science, School of Education, Statistics, and other programs on the UC Berkeley campus and within the greater Bay Area. The successful applicant will be assigned a senior faculty mentor through our Junior Faculty Mentoring Program and provided with career development, guidance, and training to ensure a pathway to success.

We welcome applicants with training in biostatistics, statistics and/or relevant fields including computational biology, computer science, data science, economics, health services research, or information sciences. Regardless of discipline, the successful candidate will have training in biostatistical methods and theory crucial to meeting key graduate-level teaching and advising roles within the school, including statistical estimation and inference in large non-parametric and semiparametric models. Preference will be given to applicants who bring a strong background in theory or applications of machine learning and statistics to causal inference problems. This is designed to be a broad search at the intersection of data science and public health. The specific areas of interest within public health data science are not restricted, and may include expertise in big data analytics, precision public health and medicine, clinical decision support, electronic health records, exposomics, genomics, health informatics, interoperability, algorithms, machine learning, mHealth, networks, privacy, and related areas.

The teaching expectation for this position after a ramp-up period is three courses per academic year. We are looking for individuals with mentoring and teaching interests and experiences related to public health data science. There will also be an assignment of service commitments at the BIO divisional and school levels.

Advances in data science in the coming decade will fundamentally transform the work of healthcare and public health. The UC Berkeley BIO Division is a world leader in the fields of causal inference, machine learning, precision medicine, and high dimensional neuroscience data, among others. Hallmarks of our program include the breadth and depth of our high profile collaborative health research, and cutting-edge theoretical work on the asymptotics of estimation procedures using machine learning. We also maintain close connections with the College of Computing, Data Science, and Society and with the health sciences at the University of California, San Francisco (UCSF).

The UC Berkeley School of Public Health recognizes the intrinsic relationship between diversity and excellence in all our endeavors. The School embraces open and equitable access to opportunities for learning and development as our obligation and goal. We seek candidates who demonstrate a commitment to advancing diversity, equity, inclusion, and belonging through their research, teaching, and service.

The school is committed to addressing the family needs of faculty, including dual-career couples and single parents. We are also interested in candidates who have had non-traditional career paths, taken time off for family reasons or achieved excellence in careers outside academia. For information about potential relocation to Berkeley or the career needs of accompanying partners and spouses, please visit: http://ofew.berkeley.edu/new-faculty.

The University of California is committed to creating and maintaining a community dedicated to the advancement, application, and transmission of knowledge and creative endeavors through academic excellence, where all individuals who participate in University programs and activities can work and learn together in a safe and secure environment, free of violence, harassment, discrimination, exploitation, or intimidation. Consistent with this commitment, UC Berkeley requires all applicants for Senate faculty positions to complete, sign, and upload an Authorization of Information Release form into AP Recruit as part of their application. If an applicant does not include the signed authorization, the application will be considered incomplete, and as with any incomplete application, will not receive further consideration. Although all applicants for faculty recruitments must complete the entire application, applicants will only be subject to reference checks if and when they are selected as the candidate to whom the hiring unit would like to extend a formal offer. More information is available on this website.

School: https://publichealth.berkeley.edu/

Division: https://publichealth.berkeley.edu/academics/biostatistics/

Qualifications
Basic qualifications (required at time of application)
Completion of a doctorate degree (e.g., PhD, DrPH, ScD, MD/DO) or equivalent international degree, or enrolled in a doctorate degree or equivalent international degree-granting program at the time of application.

Preferred qualifications
Degree in biostatistics, statistics, data science, computer science, medical informatics, or related fields.

Application Requirements

Document requirements
  • Curriculum Vitae - Your most recently updated C.V.
  • Cover Letter
  • Statement of Research
  • Statement of Teaching
  • Statement on Contributions to Advancing Diversity, Equity, and Inclusion - Statement on your contributions to diversity, equity, and inclusion, including information about your understanding of these topics, your record of activities to date, and your specific plans and goals for advancing equity and inclusion if hired at Berkeley. More Information and guidelines.
  • Publication 1 of 3 - One publication or work in progress (which may be journal articles, book chapters, dissertation chapters or other appropriate products).
  • Publication 2 of 3 - One publication or work in progress (which may be journal articles, book chapters, dissertation chapters or other appropriate products).
  • Publication 3 of 3 - One publication or work in progress (which may be journal articles, book chapters, dissertation chapters or other appropriate products).
  • Authorization of Information Release Form - A reference check will be completed only if you are selected as the candidate to whom the hiring unit would like to extend a formal offer. Download, complete, sign, and upload the Authorization to Release Information form


Reference requirements
  • 3 letters of reference required

We will only contact your references to request letters if you advance to the medium list for the position, and we will seek your permission prior to contacting them.
Apply link: https://aprecruit.berkeley.edu/JPF04162

Help contact: sph_acad@berkeley.edu

About UC Berkeley

UC Berkeley is committed to diversity, equity, inclusion, and belonging. The excellence of the institution requires an environment in which the diverse community of faculty, students, and staff are welcome and included. Successful candidates will demonstrate knowledge and skill related to ensuring equity and inclusion in the activities of their academic position (e.g., teaching, research, and service, as applicable).

The University of California, Berkeley 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. For the complete University of California nondiscrimination and affirmative action policy see: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

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.

Job location
Berkeley, CA


To apply, visit https://aprecruit.berkeley.edu/JPF04162









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