Oni-Orisan Lab - Assistant Specialist – Computational Lab
University of California, San Francisco
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San Francisco, CA
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Not Applicable
Posted May 1, 2026
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Position Description
Oni-Orisan Lab - Assistant Specialist – Computational Lab
Department of Clinical Pharmacy
University of California, San Francisco
The Oni-Orisan Lab at UCSF's Department of Clinical Pharmacy has two major interests that fall within our overarching research mission. First, we aim to establish pharmacogenetic predictors of statin efficacy and safety. Second, we aim to advance pharmacogenomic discovery and validation in historically excluded populations.
We seek to hire an assistant specialist to assist our team in generating, managing, and analyzing large datasets containing electronic health records, genomic data, drug regimens, and clinical outcomes.
Responsibilities include generating drug response phenotypes (e.g., developing the genotype /phenotype), constructing longitudinal data sets for further analyses, generating visualization plots to characterize the data, conducting inferential statistics, and preparing/analyzing all requested data analytics, as well as archiving code for future use. Through this work, we expect that our specialist will play an integral role in advancing our knowledge of pharmacogenomics.
We are seeking an individual with a 12-month commitment. The successful candidate will have experience in precision medicine, cardiology, and/or pharmacogenomics, and experience in statistical analyses working with large datasets containing electronic health records.
Appointees in the Specialist series will be expected to engage in specialized research and professional activities, but do not have teaching responsibilities. Specialists are expected to use their professional expertise to make scientific and scholarly contributions and may participate in University and Public Service.
Required Qualifications
MA/MS (or equivalent degree) or a bachelor’s degree in Health Data Science with three or more years of research experience.
One year of experience in a research setting (can be during educational activities).
Proficiency in statistics, data analysis, research methods, and statistical packages such as SPSS, SAS, and/or R, or a related package.
Prior experience constructing complex, longitudinal data sets, conducting inferential statistics, and related coding.
Knowledge of large dataset management, data analysis, and data visualization.
Existing experience in statistical analyses working with large datasets containing electronic health records, genomic data, drug regimens, and clinical outcomes.
Existing training/experience in biostatistics, pharmacogenomics, cardiology, and precision medicine.
Ability to effectively manage time and see assigned parts of projects through to completion on deadline.
Skills to communicate complex information in a clear and concise manner, both verbally and in writing.
Excellent verbal and written communication and presentation skills; excellent organizational skills; and excellent interpersonal skills to work effectively in a diverse team
At least one peer-reviewed publication or submitted publication under review.
Self-motivated, positive attitude, strong attention to detail
Ability to work standard Monday to Friday, normal business hours.
Ability to work on-site at least 3 days (Tuesday, Wednesday, and Thursday) per week.
Preferred Qualifications
MA/MS degree (or equivalent degree)
Screening of applicants will begin immediately and will continue as needed throughout the recruitment period. For full consideration, please apply by the initial review date. Salary will be commensurate with the applicant's experience and training.
See Table 24B for the salary range for this position. A reasonable estimate for this position is $63,500-$70,700.
Please apply online at: https://aprecruit.ucsf.edu/JPF05833 , with CV and contact information for two references. Applicant materials must list current and/or pending qualifications upon submission. The selected candidate must meet all of the qualifications at the time of appointment.
Document Requirements
Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. degree status, etc.).
Cover Letter (Optional)
Statement of Research (Optional)
Reference Requirements
2 required (contact information only)
Location: San Francisco, CA
Document Requirements
Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).
Cover Letter (Optional)
Statement of Research (Optional)
Reference Requirements
2 required (contact information only)
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 Employer. 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 status under state or federal law.
UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community.
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.
“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, or discrimination, as defined by the employer.
UC Sexual Violence and Sexual Harassment Policy
UC Anti-Discrimination Policy
APM - 035: Affirmative Action and Nondiscrimination in Employment
San Francisco, CA
Oni-Orisan Lab - Assistant Specialist – Computational Lab
Department of Clinical Pharmacy
University of California, San Francisco
The Oni-Orisan Lab at UCSF's Department of Clinical Pharmacy has two major interests that fall within our overarching research mission. First, we aim to establish pharmacogenetic predictors of statin efficacy and safety. Second, we aim to advance pharmacogenomic discovery and validation in historically excluded populations.
We seek to hire an assistant specialist to assist our team in generating, managing, and analyzing large datasets containing electronic health records, genomic data, drug regimens, and clinical outcomes.
Responsibilities include generating drug response phenotypes (e.g., developing the genotype /phenotype), constructing longitudinal data sets for further analyses, generating visualization plots to characterize the data, conducting inferential statistics, and preparing/analyzing all requested data analytics, as well as archiving code for future use. Through this work, we expect that our specialist will play an integral role in advancing our knowledge of pharmacogenomics.
We are seeking an individual with a 12-month commitment. The successful candidate will have experience in precision medicine, cardiology, and/or pharmacogenomics, and experience in statistical analyses working with large datasets containing electronic health records.
Appointees in the Specialist series will be expected to engage in specialized research and professional activities, but do not have teaching responsibilities. Specialists are expected to use their professional expertise to make scientific and scholarly contributions and may participate in University and Public Service.
Required Qualifications
MA/MS (or equivalent degree) or a bachelor’s degree in Health Data Science with three or more years of research experience.
One year of experience in a research setting (can be during educational activities).
Proficiency in statistics, data analysis, research methods, and statistical packages such as SPSS, SAS, and/or R, or a related package.
Prior experience constructing complex, longitudinal data sets, conducting inferential statistics, and related coding.
Knowledge of large dataset management, data analysis, and data visualization.
Existing experience in statistical analyses working with large datasets containing electronic health records, genomic data, drug regimens, and clinical outcomes.
Existing training/experience in biostatistics, pharmacogenomics, cardiology, and precision medicine.
Ability to effectively manage time and see assigned parts of projects through to completion on deadline.
Skills to communicate complex information in a clear and concise manner, both verbally and in writing.
Excellent verbal and written communication and presentation skills; excellent organizational skills; and excellent interpersonal skills to work effectively in a diverse team
At least one peer-reviewed publication or submitted publication under review.
Self-motivated, positive attitude, strong attention to detail
Ability to work standard Monday to Friday, normal business hours.
Ability to work on-site at least 3 days (Tuesday, Wednesday, and Thursday) per week.
Preferred Qualifications
MA/MS degree (or equivalent degree)
Screening of applicants will begin immediately and will continue as needed throughout the recruitment period. For full consideration, please apply by the initial review date. Salary will be commensurate with the applicant's experience and training.
See Table 24B for the salary range for this position. A reasonable estimate for this position is $63,500-$70,700.
Please apply online at: https://aprecruit.ucsf.edu/JPF05833 , with CV and contact information for two references. Applicant materials must list current and/or pending qualifications upon submission. The selected candidate must meet all of the qualifications at the time of appointment.
Document Requirements
Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. degree status, etc.).
Cover Letter (Optional)
Statement of Research (Optional)
Reference Requirements
2 required (contact information only)
Location: San Francisco, CA
Document Requirements
Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).
Cover Letter (Optional)
Statement of Research (Optional)
Reference Requirements
2 required (contact information only)
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 Employer. 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 status under state or federal law.
UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community.
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.
“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, or discrimination, as defined by the employer.
UC Sexual Violence and Sexual Harassment Policy
UC Anti-Discrimination Policy
APM - 035: Affirmative Action and Nondiscrimination in Employment
San Francisco, CA