Position Summary

The Center for Population Health Informatics at the Institute for Informatics at Washington University School of Medicine in St. Louis is seeking a highly motivated individual for a postdoctoral research fellow to develop novel computational approaches and apply machine learning algorithms to electronic health record and other types of administrative data. An ideal candidate for this position will possess a computational background in machine learning, computer science, data science, epidemiology, biostatistics, or mathematics. In addition the ideal candidate will have some experience with electronic health record and other types of administrative data. As a postdoctoral fellow the candidate will work collaboratively with multidisciplinary teams to develop or  improve algorithms for health outcomes and population health research within and outside the institution.

Information on being a postdoc at Washington University in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ .

Required Qualifications

A PhD in one of the following quantitative disciplines: computer science, data science, epidemiology, biostatistics, or mathematics. Additional work-related experience will be a plus. Strong candidates from a primarily wet-lab or clinical background who wish to develop sophisticated quantitative skills will also be considered.

Preferred Qualifications

• Knowledge of computer languages, including SAS, R, or Python.
• Familiarity with processing large electronic health record and other administrative data sets.
• Track record of scientific productivity, e.g. a first author paper, or a demonstrable contribution to a large project.
• Some supervision of trainees.
• Excellent communication and writing skills.

Working Conditions

This position works in a laboratory environment with potential exposure to biological and chemical hazards. The individual must be physically able to wear protective equipment and to provide standard care to research animals.

Salary Range

Base pay is commensurate with experience.

Applicant Special Instructions

Please send a cover letter, CV, and contact information for three references to Dr. Randi Foraker, at: randi.foraker@wustl.edu .

Accommodation

If you are unable to use our online application system and would like an accommodation, please email CandidateQuestions@wustl.edu  or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.

Pre-Employment Screening
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.

Benefits Statement
Washington University in St. Louis is committed to providing a comprehensive and competitive benefits package to our employees. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at https://hr.wustl.edu/benefits/ to view a summary of benefits.

EEO/AA Statement
Washington University in St. Louis is committed to the principles and practices of equal employment opportunity and especially encourages applications by those from underrepresented groups. It is the University’s policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.

Diversity Statement
Washington University is dedicated to building a diverse community of individuals who are committed to contributing to an inclusive environment – fostering respect for all and welcoming individuals from diverse backgrounds, experiences and perspectives. Individuals with a commitment to these values are encouraged to apply.