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Research Assistant Professor in Biostatistics & Measurement Science, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University
Division of Biostatistics, Division of Epidemiology
We are seeking highly qualified applicants in Biostatistics and Psychometric Science at the Assistant Professor level to conduct biostatistical research in the area of the developmental origins of chronic diseases including cardiovascular disease and neurodevelopmental syndromes. This is a full-time position for a collaborative biostatistician who will work as part of several multidisciplinary team including statisticians, epidemiologists, psychometricians, physicians, and psychologists. The academic home for the position will be in the Feinberg School of Medicine (FSM) Department of Preventive Medicine Division of Biostatistics with joint affiliations with the Department of Medical Social Sciences (MSS) Psychometrics and Statistics Core, and the university-wide Institute for Innovations in Developmental Sciences (DevSci). The position is a team science role funded primarily by two large scale initiatives including the Northwestern-based Environmental Influences on Child Health Outcomes (ECHO) Patient-Reported Outcomes Core, and DevSci’s Data Science Hub, with both roles emphasizing combining disparate data, harmonization methods and the creation of synthetic cohorts.
The Departments of Preventive Medicine and Medical Social Sciences as well as the DevSci Institute have long-standing success in conducting high-quality epidemiologic and developmental research and in developing novel biostatistical methods that assist such research. For this position, we are seeking experienced faculty investigators with a strong theoretical biostatistics background, and prior experience in complex, multilevel research in cohort studies. The successful candidate will have experience in one or more of the following areas: missing data, longitudinal data analysis, measurement science, psychometrics, item response theory, and Bayesian statistics. We are particularly interested in candidates who can drive and apply harmonization methods for clinical research with a focus on the developmental origins of disease. Statistical harmonization methods of particular interest include imputation, linking and scaling, integrative data analysis methods and coordinated analyses. In addition, we are interested in candidates with methodological knowledge of the patient-reported assessment development and validation process. Publications and presentations at scientific meetings are expected and encouraged. As part of these two research teams, the candidate will be expected to participate in grant writing and publishing. The Department of Preventive Medicine has a Division of Biostatistics consisting of 14 full-time faculty who provide a collegial, biostatistical environment with a history of mentoring junior faculty biostatisticians. In addition, DPM includes a large group of masters’ level data analysts. DPM will serve as the base for the DevSci activities. In his/her ECHO role, the faculty member will also collaborate closely with the MSS Psychometrics and Statistics Core, which includes multiple quantitative and psychometric faculty as well as a team of masters’ level data analysts. As part of the Institute for Innovations in Developmental Science (DevSci) the applicant will work with the directors of the Data Science Hub to promote and develop sophisticated statistical methods that can be used to drive DevSci’s ‘Healthier Earlier’ mission.
Applicants must have a PhD in Biostatistics or Statistics, experience in biostatistics methodology research, measurement science, and programming in R. The candidate must have excellent written and oral communication skills and attention to detail and work well in a fast paced collaborative environment. The ability to work as part of a multidisciplinary team is essential. Primary academic appointment would be in the Department of Preventive Medicine, Feinberg School of Medicine. Time would be split equally across the two roles. Successful candidates can anticipate a competitive base salary commensurate with experience and excellent benefits.
Interested individuals should send a curriculum vitae and a cover letter describing their academic experience/interests to Norrinafirstname.lastname@example.org.