Assistant Professor of Data Science and Bioengineering

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Position Description




Position title: Assistant Professor of Data Science and Bioengineering

Job Number: #JPF03807

Salary range: A reasonable salary range estimate for this position is $120,000-$136,000. ​​The posted UC Academic salary scales set the minimum pay as determined by rank and/or step at appointment.

See the following tables for the salary scales for this position ( ) The base salary range, from the salary tables, for this position is 74,600-$124,300. “Off-scale salaries” and other components of pay, i.e., a salary that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions, qualifications, and experience. ​ ​Additional UCSD salary information can be found here: .




Open date: October 13, 2023

Next review date: Sunday, Nov 12, 2023 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.

Final date: Monday, Sep 30, 2024 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.




The University of California, San Diego invites applications for an Assistant Professor (tenure-track) in Data Science and Bioengineering. This position will hold a joint appointment in the Halıcıoğlu Data Science Institute (HDSI) and the Department of Bioengineering. The anticipated start date is Fall 2024.

The focus of this search is on innovative applications of data science to advance cutting-edge and compelling questions in bioengineering. Examples include novel approaches to ‘omics analyses, use of data from novel and/or multiple sources for biological systems engineering optimization, breakthrough results in systems identification or signal processing. Appropriate matches could use data from a range of fields, including but not limited to experimental molecular biology, synthetic biology, sensor devices, or electronic health records.

Candidates should have a strong record of publications and research in this interdisciplinary area of Data Science and Bioengineering. The successful candidate will be expected to establish a vigorous program of high-quality research that focuses on innovations and applications of complex models or other novel, data-driven analytic approaches to a well-defined problem at the frontier of bioengineering, as well as the ability to address biases or other limitations arising from their given choice of approach.

The successful applicant will establish a robust research program and participate in professional activities (e.g., conferences) in their domain of expertise. They are also expected to participate in department and university service as academic members of the campus community. This position involves teaching university students. The selected candidate will be expected to teach graduate and undergraduate students at HDSI and Bioengineering, as well as mentor students in both units. The teaching and mentoring loads will be commensurate with the respective level of appointment in each department.






Basic qualifications (required at time of application)
PhD or equivalent degree, or advancement to candidacy, in Data Science, Bioengineering, Bioinformatics, Computer Science, Engineering, Mathematics/Statistics, or related disciplines.

Preferred qualifications
The ideal candidate will have a training background and demonstrated interest in multi-disciplinary research and collaboration allowing cross-campus bridges, and approaches or technologies that will be transformative for their chosen niche within Bioengineering.

The ideal candidate will also have teaching or communication experiences that prepare them to lead coursework in both Bioengineering and Data Science.




Document requirements

  • Cover Letter (Optional)
  • Curriculum Vitae - Your most recently updated C.V.
  • Statement of Teaching
  • Teaching Evaluations (Optional)
  • Statement of Research
  • Statement of Contributions to Diversity - Applicants should summarize their past or potential contributions to diversity. See our Faculty Equity site for more information.
  • Misc / Additional (Optional)

COVID-19 Impact Statement - We understand that the COVID-19 pandemic may have had a substantial impact on academic productivity. In our academic hiring processes, we will be keeping this in mind as we consider achievement relative to opportunity. We encourage you to reflect on constraints on opportunity in your field that were caused by the events of the pandemic and where applicable, to discuss your achievements in this light. (Optional)

Reference requirements

  • 3-5 letters of reference required

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The University of California, San Diego is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, covered veteran status, or other protected categories covered by the UC nondiscrimination policy.

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.

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