Associate Specialist- Savic and Phillips Lab - San Francisco, United States - University of California - San Francisco

Description

Application Window

Open date: April 30, 2024

Next review date: Wednesday, May 15, 2024 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Thursday, Oct 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.

Position description

Associate Specialist- Savic and Phillips Lab

Department of Bioengineering & Therapeutic Sciences

University of California, San Francisco

The Savic and Phillips Labs at the University of California, San Francisco (UCSF) are seeking an experienced researcher for interdisciplinary research with expertise in the methods and theory of statistics, data science, applied mathematics and pharmacometrics as applied to clinical trials and therapeutics.

The position involves methodological and applied research in the design, conduct, and analysis of randomized clinical trials with a focus on clinical trials in tuberculosis. Areas of methodological development include non-inferiority trials, platform and other adaptive trial designs, specification of estimands accounting for intercurrent events and missing data, and trial designs to evaluate treatment duration.

Required Qualifications:

• Associate Specialist - Master's degree (or equivalent degree) or five to ten years of experience in the relevant specialization
• Knowledge of pharmacokinetic-pharmacodynamic modelling and simulation, especially advanced statistical principles (nonlinear mixed effects modelling, Bayesian statistics, clinical trial simulations, estimands, missing data imputation), along with strong programming skills in R, Stata, Matlab or Python is essential for designing and analyzing early and late randomized clinical trials in support of the goal to optimize TB treatment in adult, as well as pediatric and other special patient populations.
• Experience in design and analysis of randomized clinical trials.
• Excellent programming skills in R, Stata, Matlab, Python, and/or NONMEM.
• Exceptional written and oral communication skills.

Preferred Qualifications:

• PhD degree in biostatistics, statistics or a related field with excellent methodological training in statistics with experience in pharmacometrics software (e.g. NONMEM) and knowledge of drug development, high-performance computing, and dynamic modeling is preferred.

See Table 24B for the salary range for this position. A reasonable estimate for this position is $70,500-$82,100.

Application Requirements

• Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).

• Cover letter

• Misc / Additional (Optional)

• 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.

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