Postdoc in Causal Inference — Health Data & Methods

University of Pennsylvania Perelman School of Medicine; Erie (Erie County); On-site; USD 60,000 - 70,000; Full time

Job summary

University of Pennsylvania Perelman School of Medicine seeks a postdoctoral researcher in causal inference within the Center for Causal Inference (CCI) in DBEI. The position offers collaboration with faculty mentors and cross-disciplinary projects across biostatistics, epidemiology, informatics.

Applicants should have a doctoral degree and strong computational skills; start date negotiable. The role emphasizes developing new methods and software, with opportunities to contribute to health and

Qualifications

• Doctoral degree in biostatistics, statistics, or a related field.
• Strong computational skills and expertise in causal inference are desired but not required.
• Start date and term are negotiable.

Responsibilities

• Develop new theory and methods in causal inference; develop software; and potentially collaborate on applied projects in Health and Social Sciences.
• Be an active member of the CCI, e.g., participate in weekly working group meetings and the annual Causal Inference Summer Institute.
• Contribute to mentoring and professional development activities within the center.

Skills

Causal inference

Computational skills

Education

Doctoral degree in biostatistics or statistics

Job description

University of Pennsylvania Perelman School of Medicine seeks a postdoctoral researcher in causal inference within the Center for Causal Inference (CCI) in DBEI. The position offers collaboration with faculty mentors and cross-disciplinary projects across biostatistics, epidemiology, informatics.

Applicants should have a doctoral degree and strong computational skills; start date negotiable. The role emphasizes developing new methods and software, with opportunities to contribute to health and