Position Overview
Position Title: Postdoctoral Scholar Employee
Salary Range: The UC postdoc salary scales set the minimum pay determined by experience level at appointment. A reasonable estimate for this position is $80,000 - $105,000. See the current salary scale for this position: Salary Scale.
Percent Time: 100%
Anticipated Start: January 2025
Position Duration: The initial appointment is for two years with the possibility of extension based on satisfactory performance and availability of funding.
Application Window
Open Date: September 30, 2024
Next Review Date: Monday, Oct 14, 2024 at 11:59pm (Pacific Time). Apply by this date to ensure full consideration by the committee.
Final Date: Thursday, Oct 31, 2024 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
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.
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. CTML is seeking a highly motivated and talented Postdoctoral Scholar to join our interdisciplinary research projects focused on causal inference, epidemiology, and pharmaceutical research.
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.
- Data Management: Work with large-scale healthcare databases and electronic health records to perform rigorous epidemiological analyses.
- Manage Collaborations & Communication: Strategically steer multidisciplinary teams 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, multiple professional development opportunities will be offered, including developing new working groups and projects and first-authoring academic publications.
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 in data preprocessing/cleaning, statistical analysis, and database design.
- Experience in data analysis consultation.
- Experience in software package development and maintenance.
- Knowledge of causal inference and machine learning methodologies.
Application Requirements
Document Requirements:
- Curriculum Vitae - Your most recently updated C.V.
- Cover Letter - 1-2 Pages
- Statement of Research (Optional)
- Statement on Contributions to Advancing Diversity, Equity, and Inclusion - Statement on your contributions to diversity, equity, and inclusion.
Reference Requirements: 3 required (contact information only)
Apply Link: Apply Here
Help Contact: michelle1@berkeley.edu
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging. Successful candidates will demonstrate knowledge and skill related to ensuring equity and inclusion in their academic position.
Job Location
Berkeley, California
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