What are the responsibilities and job description for the Adjunct Positions in General Internal Medicine Statistics Core 2024-2025 position at University of California - Los Angeles (UCLA)?
Open date: March 7, 2025
Next review date: Monday, Apr 7, 2025 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Monday, Jun 30, 2025 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 Division of General Internal Medicine & Health Services Research in the Department of Medicine, Medicine Statistics Core (DOMStat), at the David Geffen School of Medicine at UCLA invites applicants for an Adjunct faculty position at the Assistant or Associate rank. In this position, the primary responsibility will be to provide biomedical informatics and biostatistical collaboration to faculty in the Department of Medicine. Duties include working closely with biomedical collaborators in designing studies using large electronic health records (EHR) data, collaborating on extramural grant preparation, using statistical methods for the analysis of EHR data, teaching biomedical informatics to medical fellows and junior faculty and presenting study results in manuscripts. Effective collaboration with medical researchers is of major importance. Emphasis will be placed on applicants with a track record of collaboration. Candidate will be expected to teach one course per year.
The candidate must have a Ph.D. in statistics, biostatistics, biomedical informatics or other relevant disciplines involving quantitative analysis of large datasets; at least one year of post-graduate experience in providing quantitative consultation for medical research; experience in assisting with grant preparation; experience with collaboration on data analysis and publication of medical research articles.
The posted UC salary scales [https://www.ucop.edu/academic-personnel-programs/compensation/index.html] set the minimum pay determined by rank and step at appointment. See Table 5. The salary range for this position is $118,000-$183,500. This position includes membership in the health sciences compensation plan [https://ucop.edu/academic-personnel-programs/_files/apm/apm-670.pdf], which provides for eligibility for additional compensation.
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https://medschool.ucla.edu/cultural-north-star.
All aspects of searches are confidential and all candidates are expected to review and abide by UC Regents Policy 1111 on Statement on Ethical Values and Standards of Conduct
https://regents.universityofcalifornia.edu/governance/policies/1111.html.
The David Geffen School of Medicine Anti-racism roadmap is our co-created path to ensuring racial justice, equity, diversity and inclusion. We are committed to actively dismantling structural racism in our organization as described in more detail at: https://medschool.ucla.edu/community-and-equity/anti-racism/anti-racism-roadmap
A Ph.D. in statistics, biostatistics, biomedical informatics or other relevant discipline is required.
At least one year of post-graduate experience in providing data-based consultation for medical research; experience in assisting with grant preparation; experience with collaboration on electronic health records data acquisition, data analysis and publication of medical research articles
Curriculum Vitae - Your most recently updated C.V.
Statement on Contributions to Equity, Diversity, and Inclusion - An EDI Statement describes a faculty candidate's past, present, and future (planned) contributions to equity, diversity, and inclusion. To learn more about how UCLA thinks about contributions to equity, diversity, and inclusion, please review our EDI Statement FAQdocument, and Sample EDI Statements.
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Help contact: esantiago@mednet.ucla.edu
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.
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.
For the University of California's Affirmative Action Policy, please visit https://www.ucop.edu/academic-personnel-programs/_files/apm/apm-035.pdf.
For the University of California's Anti-Discrimination Policy, please visit https://policy.ucop.edu/doc/1001004/Anti-Discrimination.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.
- "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy for Employees, Students and Third Parties
- APM - 035: Affirmative Action and Nondiscrimination in Employment
The University of California 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, protected veteran status, or other protected categories covered by the UC nondiscrimination policy. UC Nondiscrimination & Affirmative Action Policy:https://policy.ucop.edu/doc/4000376/DiscHarassAffirmAction
Salary : $118,000 - $183,500
