Postdoctoral Researcher

7 days ago

San Francisco, California, United States InsideHigherEd Full time
Postdoctoral Scholar Opportunity

We are seeking a highly motivated and talented Postdoctoral Scholar to join our interdisciplinary research team at the Center for Targeted Machine Learning and Causal Inference (CTML) in Berkeley Public Health's Divisions of Epidemiology and Biostatistics.

Job Summary

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.

Key Responsibilities
  • Design, execute, and analyze CTML's Industry-partnered studies utilizing causal inference methods.
  • Develop and apply novel causal inference methodologies to address biases in observational studies.
  • Work with large-scale healthcare databases, electronic health records (EHRs), and other real-world data sources to perform rigorous epidemiological analyses.
  • Strategically steer multidisciplinary teams to interpret findings and drive them into actionable insights.
  • Prepare manuscripts for peer-reviewed publication and present findings at scientific conferences.
  • Assist in preparing grant proposals to secure funding for future research projects.
Qualifications

Basic qualifications (required at time of application): Doctoral degree (or equivalent international degree), or enrolled in a Doctoral or equivalent international degree program at the time of application.

Additional qualifications (required at time of start): Doctoral degree (or equivalent international degree). No more than three years of postdoctoral experience at the time of appointment.

Preferred qualifications: Doctorate in Biostatistics, Statistics, Epidemiology, machine learning, or related field. Experience in statistical computing skills, especially in R. Experience/working skills in data preprocessing/cleaning, statistical analysis, systems programming, database design and data security measures, especially regarding large datasets.

Application Requirements

Document requirements: Curriculum Vitae, Cover Letter, Statement of Research (Optional), Statement on Contributions to Advancing Diversity, Equity, and Inclusion.

Reference requirements: 3 required (contact information only).

About UC Berkeley

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.

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