Job Description 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 associate position to develop novel computational approaches and apply machine learning algorithms to electronic health records and other types of administrative data. The initial appointment will be for up to two years and may be renewed, depending on the candidate’s goals and qualifications.
Information on being a postdoc at Washington University in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ .
Required Qualifications
Ph.D., M.D. or equivalent terminal or doctoral degree.
Preferred Qualifications
- Ph.D. degree in one of the following quantitative disciplines: computer science, data science, epidemiology, biostatistics, or mathematics and additional work-related experience in any of those areas.
- Experience with a wet-lab or clinical background and interest to develop sophisticated quantitative skills.
- Knowledge of computer languages, including SAS, R, or Python.
- Familiarity with processing large electronic health records and other administrative data sets.
- Proven track record of scientific productivity, example: a first author paper, or a demonstrable contribution to a large project.
- Experience with the supervision of trainees.
- Excellent communication and writing skills.
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 .
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 is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration without regard to an individual’s sex, race, color, religion, age, disability status, protected veteran status, national or ethnic origin, gender identity or expression, sexual orientation. Women, minorities, protected veterans and the disabled are strongly encouraged to apply.
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.
Job Description
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 associate position to develop novel computational approaches and apply machine learning algorithms to electronic health records and other types of administrative data. The initial appointment will be for up to two years and may be renewed, depending on the candidate’s goals and qualifications.
Information on being a postdoc at Washington University in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ .
Required Qualifications
Ph.D., M.D. or equivalent terminal or doctoral degree.
Preferred Qualifications
- Ph.D. degree in one of the following quantitative disciplines: computer science, data science, epidemiology, biostatistics, or mathematics and additional work-related experience in any of those areas.
- Experience with a wet-lab or clinical background and interest to develop sophisticated quantitative skills.
- Knowledge of computer languages, including SAS, R, or Python.
- Familiarity with processing large electronic health records and other administrative data sets.
- Proven track record of scientific productivity, example: a first author paper, or a demonstrable contribution to a large project.
- Experience with the supervision of trainees.
- Excellent communication and writing skills.
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 .
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 is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration without regard to an individual’s sex, race, color, religion, age, disability status, protected veteran status, national or ethnic origin, gender identity or expression, sexual orientation. Women, minorities, protected veterans and the disabled are strongly encouraged to apply.
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.
