"Post-Doc Fellow, Causal Inference"

Post-Doc Fellow, Causal Inference

University of Colorado Anschutz

Department: Medicine, Division of General Internal Medicine

Job Title:

Position #00843047 - Requisition #38493

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.

Please be advised that this position is not eligible now or in the future for visa sponsorship.

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):

1. A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position
2. Curriculum vitae / Resume
3. Five professional references including name, address, phone number (mobile number if appropriate), and email address

Applications are accepted electronically ONLY at www.cu.edu/cu-careers.

Questions should be directed to: Patricia Colella (GIM HR), patricia.colella@cuanschutz.edu

Screening of Applications Begins: Immediately and continues until position is filled. For best consideration, apply by January 8, 2026.

Anticipated Pay Range:

The starting salary range (or hiring range) for this position has been established as HIRING RANGE: $62,232 - $75,564 in alignment with current NIH salary range dependent upon years of postdoctoral experience.