Overview

Berkeley Public Health (BPH) aims to improve population health, especially for the most vulnerable, through interdisciplinary collaborations, preeminent education, and transformational research.  Established in 1943, BPH is a professional school on the UC Berkeley campus that comprises six academic divisions and nearly 30 research centers and programs.  Our School values include social justice, health as a right, challenging conventional thought, embracing diversity, and creating meaningful impact.  We honor our principles of community by centering and valuing everyone in our community, prioritizing prevention while remaining grounded in social justice, promoting safety and respect, practicing self-care and kindness, and remaining optimistic, hopeful, and committed to change.  Learn more at https://publichealth.berkeley.edu.

The Center for Targeted Machine Learning and Causal Inference (CTML) in Berkeley Public Health’s Divisions of Epidemiology and Biostatistics is an interdisciplinary hub that brings together data scientists, statisticians, computer scientists, and health professionals.  Its mission is to improve the research and practice of health sciences by developing and applying targeted learning analytics to solve urgent health problems.

CTML is seeking a highly motivated and talented Postdoctoral Scholar to join our interdisciplinary research projects focused on causal inference, epidemiology, and pharmaceutical research. The successful candidate will work on and manage innovative projects aimed at understanding the causal relationships between pharmaceutical interventions and health outcomes. This position offers a unique opportunity to coordinate several extensive biostatistical research collaborations and contribute to cutting-edge research at the intersection of public health, epidemiology, and biostatistics, with an emphasis on applying advanced causal inference methods to real-world data.

 

Key Responsibilities:

-Research Design & Analysis: Lead the design, execution, and analysis of CTML’s Industry-partnered studies utilizing causal inference methods.

-Methodological Development: Develop and apply novel causal inference methodologies to address biases in observational studies, such as confounding, selection bias, and measurement error.

-Data Management: Work with large-scale healthcare databases, electronic health records (EHRs), and other real-world data sources to perform rigorous epidemiological analyses.

-Manage Collaborations & Communication: Strategically steer multidisciplinary teams, including epidemiologists, biostatisticians, clinicians, and data scientists, to interpret findings and drive them into actionable insights.

-Manuscript Preparation: Prepare manuscripts for peer-reviewed publication and present findings at scientific conferences.

-Grant Writing: Assist in preparing grant proposals to secure funding for future research projects.

-Beyond the responsibilities of coordinating existing projects and managing the development of scientific papers, multiple professional development opportunities will be offered, including developing new working groups and projects and first-authoring academic publications.

About UC Berkeley School of Public Health

At the University of California, Berkeley, we are committed to creating a community that fosters equity of experience and opportunity, and ensures that students, faculty, and staff of all backgrounds feel safe, welcome and included. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff.

The University of California, Berkeley, is one of the world’s leading institutions of higher education, distinguished by its combination of internationally recognized academic and research excellence; the transformative opportunity it provides to a large and diverse student body; its public mission and commitment to equity and social justice; and its roots in the California experience, animated by such values as innovation, questioning the status quo, and respect for the environment and nature. Since its founding in 1868, Berkeley has fueled a perpetual renaissance, generating unparalleled intellectual, economic and social value in California, the United States and the world.

We are looking for equity-minded applicants who represent the full diversity of California and who demonstrate a sensitivity to and understanding of the diverse academic, socioeconomic, cultural, disability, gender identity, sexual orientation, and ethnic backgrounds present in our community. When you join the team at Berkeley, you can expect to be part of an inclusive, innovative and equity-focused community that approaches higher education as a matter of social justice that requires broad collaboration among faculty, staff, students and community partners.  In deciding whether to apply for a position at Berkeley, you are strongly encouraged to consider whether your values align with our Guiding Values and Principles, our Principles of Community, and our Strategic Plan.