Overview
Description
Columbia University, Department of Obstetrics and Gynecology, Division of Gynecologic Oncology is looking for an Assistant Professor to lead the analysis of large-scale data projects. Applicants who have a research focus in clinical trial designs and inferences (e.g., basket/SMART designs), causal inference, high-dimensional data, health outcome research/electronic health record, or machine learning are encouraged to apply.
Job Responsibilities
Successful candidates will be expected to closely collaborate with researchers, while continuing to develop methodological research in their area of interest.
In addition, successful candidates will have opportunities to get involved in educational activities, including teaching and mentoring graduate students.
Performs basic or applied research in an area of considerable scope and complexity.
Plans independent research, analyzes, and publishes the results.
Prepares grant proposals.
The incumbent will play an integral role in the analysis of data.
The candidate will analyze data from large-scale data sets as well as collect, enter and analyze clinical data using statistical software.
Develop and apply statistical theories and methods to organize, interpret and summarize clinical data to provide information.
Conduct clinical investigation and/or other research.
Generate reports; contribute to the decision for optimal study design and the proper use of statistical methodologies for studies.
Design small pilot studies to estimate statistical parameters for future studies.
Design and validate analysis data sets and preparation of study proposals and grant applications.
The Department of Obstetrics and Gynecology is dedicated to the goal of building a multicultural faculty and staff committed to teaching, working and serving in a diverse community, and strongly encourages applications from candidates of traditionally underrepresented backgrounds.
We are continuously seeking to recruit individuals who will enhance the diversity of our workplace and the effectiveness of our organization.
Qualifications
Minimum Qualifications:
Applicant MUST meet these minimum qualifications to be considered an applicant:
· MD and/or PhD or comparable degree in statistics, biostatistics, or a closely related field.
· Doctorate degree required. Expertise in SAS. Prior experience with analysis of large data sets.
· Requires strong interpersonal skills; excellent oral and written communication, and computer skills.
· Team player capable of working in dynamic group environment.
Application Process
This institution is using Interfolio’s Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.
Apply Now
Equal Employment Opportunity Statement
Columbia University is an Equal Opportunity Employer / Disability / Veteran
Pay Transparency Disclosure
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting.
