the design, evaluation, and application of research methods, as well as a specific area of epidemiology, (bio)statistics, or a related field of quantitative or computational science. Applicants must have at least one year of postdoctoral experience. Applicants must have a Ph.D. or equivalent degree.

Responsibilities may include:

1. Development and application of statistical, causal, and machine learning methods for analyzing complex longitudinal data structures, including electronic health records (EHRs), registry data, biobanks, pragmatic trials and cohort studies;

2. Collaboration on research projects across the palliative care, critical care, and health services research spectrum, working alongside faculty in the Department and a dynamic team of clinician-scientists, epidemiologists, and biostatisticians; and

3. Support for methodological development in clinical trials design, analysis, and monitoring; observational studies; and Bayesian causal inference applications.

The successful applicant will have an opportunity to work under the supervision of Dr. Michael Harhay and collaborators at the Center for Clinical Trials Innovation, with increasing autonomy to independently lead innovative methodological developments (particularly Bayesian components of funded projects) and author peer-reviewed publications. Collaborative contributions to team science are expected alongside building a clear path toward independent research in preparation for the next stage of their career.

Qualifications

Application Instructions

To apply, visit https://apply.interfolio.com/177926

Equal Employment Opportunity Statement

The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law.

the design, evaluation, and application of research methods, as well as a specific area of epidemiology, (bio)statistics, or a related field of quantitative or computational science. Applicants must have at least one year of postdoctoral experience. Applicants must have a Ph.D. or equivalent degree.

Responsibilities may include:

1. Development and application of statistical, causal, and machine learning methods for analyzing complex longitudinal data structures, including electronic health records (EHRs), registry data, biobanks, pragmatic trials and cohort studies;

2. Collaboration on research projects across the palliative care, critical care, and health services research spectrum, working alongside faculty in the Department and a dynamic team of clinician-scientists, epidemiologists, and biostatisticians; and

3. Support for methodological development in clinical trials design, analysis, and monitoring; observational studies; and Bayesian causal inference applications.

The successful applicant will have an opportunity to work under the supervision of Dr. Michael Harhay and collaborators at the Center for Clinical Trials Innovation, with increasing autonomy to independently lead innovative methodological developments (particularly Bayesian components of funded projects) and author peer-reviewed publications. Collaborative contributions to team science are expected alongside building a clear path toward independent research in preparation for the next stage of their career.

Qualifications

Application Instructions

To apply, visit https://apply.interfolio.com/177926

Equal Employment Opportunity Statement

The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law.