Recruit

The Haas School of Business at the University of California, Berkeley is seeking highly motivated individuals for the position of Junior or Assistant Specialist. The positions are to assist in economic and computational research in health care, including topics of machine learning, causal inference, labor and personnel, provider decision-making, and productivity.

The Center for Healthcare Marketplace Innovation (CHMI) is accelerating the development of economic and computational solutions that will transform the delivery of healthcare. We combine cutting-edge research on decision-making and economics with machine learning and AI research to make informed interventions and drive change. The candidates would work with Haas Economic Analysis & Policy group Professors David Chan and Jonathan Kolstad.

General Duties:
• Assist in designing and interpreting analyses, involving knowledge and experience in reduced form (difference-in- difference, regression discontinuity, instrumental variables) and structural econometrics (method of moments, maximum likelihood, dynamic programming) and methods of causal inference. (20% time)
• Write computer code to maintain data and implement analyses. (20% time)
• Maintain accurate documentation of work. (20% time)
• Clean data, identify problems with data or coding, and resolve technical problems. (10% time)
• Assist in preparation for research manuscripts and project reports and generate tables and graphs for publications. (10% time)
• Monitor datasets and statistical deliverables for quality assurance. (10% time)
• Collaborate with research team and other experts in the field regarding ongoing analyses of the project. (10% time)

UC Berkeley is committed to diversity, equity, inclusion, and belonging. The excellence of the institution requires an environment in which the diverse community of faculty, students, and staff are welcome and included. Successful candidates will demonstrate knowledge and skill related to ensuring equity and inclusion in the activities of their academic position (e.g., teaching, research, and service, as applicable).

The University of California, Berkeley 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, or protected veteran status.

Please refer to the University of California’s Affirmative Action and Nondiscrimination in Employment Policy and the University of California’s Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

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.

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