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University of Colorado Anschutz
Department: Medicine, Division of General Internal Medicine
Job Title: Post-Doc Fellow, Causal Inference
Position #00843047 - Requisition #39319
Job Summary:
The Department of Medicine, University of Colorado School of Medicine and Department of Biostatistics and Informatics, Colorado School of Public Health is seeking a post-doctoral fellow for a two-to-three-year position studying causal inference, available to start immediately. The focus of this position will be the development and implementation of novel statistical and computational methods motivated by potential applications to observational studies. The work will involve both methodological…
research with biostatistics faculty and collaboration with clinical investigators. The incumbent will report directly to Dr. Debashis Ghosh, Professor of Biostatistics and Informatics, and Dr. Sridharan Raghavan, Associate Professor of Medicine. The University of Colorado Anschutz Medical Campus is a highly collaborative campus, and the particular collaborative direction will depend on the interests of the applicant.
Key Responsibilities:
Research (70%)
Data management
Statistical methods development
Exploratory data analysis
Bioinformatics analysis
Statistical computing (10%)
R package development
Research results (20%)
Presentations at conferences
Manuscript preparation
Work Location:
Hybrid - This role is eligible for a hybrid schedule of 2-3 days per week on campus and as needed for in-person meetings.
Qualifications:
Minimum Qualifications:
PhD/ScD from an accredited college or university in statistics, biostatistics, computer science or related field
Experience in causal inference
Minimum of 2 years' experience in statistical software R, Python or equivalent
Preferred Qualifications:
Experience with development of R packages or other software
Minimum 1-year experience in machine learning methods
Knowledge, Skills and Abilities:
Excellent communication skills (written and oral) using the English language
The ability to work independently on data analysis and research
Ability to establish and maintain effective working relationships with employees at all levels throughout the institution.
Outstanding customer service skills.
How to Apply:
For full consideration, please submit the following document(s):
A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position
Curriculum vitae / Resume
Five professional references including name, address, phone number (mobile number if appropriate), and email address
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