Job Information
University of Southern California Postdoctoral Scholar - Research Associate (USC Schaeffer Center) in Los Angeles, California
Postdoctoral Scholar - Research Associate (USC Schaeffer Center)Apply (https://usc.wd5.myworkdayjobs.com/ExternalUSCCareers/job/Los-Angeles-CA---University-Park-Campus/Postdoctoral-Scholar---Research-Associate--USC-Schaeffer-Center-_REQ20150380/apply) Sol Price School of Public Policy Los Angeles, California
To be considered for this position, please attach a single PDF to your employment application with the following components: CV, cover letter, writing sample, one-page statement of research interest, and reference letter(s).
Position Overview:
The University of Southern California’s Leonard D. Schaeffer Center for Health Policy and Economics is now accepting applications for one or morePostdoctoral Fellowshipsin health policy, health economics, and health services research with a specific focus on machine learning and data science applications in health economics and outcomes research (HEOR) and pharmacovigilance. This fellowship provides an excellent opportunity to enhance analytical skills and advance research agendas through both formal training and extensive collaboration with leading researchers.
Eligibility Criteria:
We invite scholars who have recently completed a Ph.D. in a relevant discipline such as biostatistics, computer science, data science, health economics, health policy, or public policy to apply.Candidates should possess robust data science and programming skills, including Python, and have a keen interest in applying interpretable machine-learning methods.Candidates should also have experience constructing and analyzing cost-effectiveness and/or other health simulation models.
Fellowship Details:
Duration: 12-month fixed term, with the possibility of renewal for up to two years. Hybrid work arrangement.
Key Responsibilities:
Collaborate with USC faculty on cutting-edge research projects in health economics and policy.
Design, develop, and estimate health economic models to study the clinical benefits and economic value of new health interventions. Analyze individual patient-level data and other sources to parameterize these models.
Apply interpretable machine learning techniques to the study of health economic models and the analysis of patient-level healthcare data.
Produce high-impact research papers, such as those focusing on the value of Alzheimer’s disease treatments.
Ideal Candidate Profile:
Strong programming skills in Python.
Experience building cost-effectiveness and health simulation models.
Proficiency in interpretable machine learning techniques.
Demonstrated ability to publish in peer-reviewed journals.
Mission Statement:
The mission of the Leonard D. Schaeffer Center for Health Policy and Economics is to measurably improve value in health through evidence-based policy solutions, research excellence, transformative education, and private and public sector engagement. With its extraordinary breadth and depth of expertise, the Schaeffer Center aims to have a vital impact on healthcare transformation. The Center is a unique collaboration between the USC Sol Price School of Public Policy and the School of Pharmacy. Dr. Dana Goldman and Dr. Erin Trish serve as the Co-Directors, with Dr. Erin Duffy leading the research training.
Application Process:
Required Documents:
CV, cover letter, writing sample, one-page statement of research interest and recent reference letter(s)
Please upload all required documents as a single combined PDF file. Python code samples may be requested during the interview process.
Application Deadline:
Applications will be considered as they are received until the position(s) is filled.
Contact Information:
For more information and to apply, please visit our website: [http://healthpolicy.usc.edu/Fellowships.aspx]
Compensation:
The annual base salary range for this position is 62,400 - $100,000. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.
Minimum Qualifications:
Education: Ph.D. or equivalent doctorate within the previous five years.
Experience: 0-1 year of relevant research experience.
Field of Expertise: Interpretable machine learning, data science, and health economics.
Role Description:
Postdoctoral scholars will serve as research trainees to enhance and develop their research competencies. Scholars will work directly with senior Faculty such as Drs. Dana Goldman, Julie Zissimopoulos, Daniel McFadden and Darius Lakdawalla. Responsibilities include planning, designing, and conducting complex research projects under the guidance of mentors. The role may involve both independent and collaborative work.
This new call aims to attract talented individuals eager to contribute to the advancement of health policy and economics through innovative machine learning and biostatistical methodologies.
USC 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, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC will consider for employment all qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring (http://clkrep.lacity.org/onlinedocs/2014/14-0746_ORD_184652_12-9-16.pdf) ordinance. We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email at uschr@usc.edu (%C2%A0uschr@usc.edu) Inquiries will be treated as confidential to the extent permitted by law
Serves as a research trainee for the purpose of enhancing and developing research competencies.
REQ20150380 Posted Date: 06/05/2024