Director of Epidemiology and Research Training
About The Unit: The Lindau Laboratory at the University of Chicago is an interdisciplinary, fast-paced laboratory performing human-level observational, interventional, health services, geospatial and systems science research motivated by a fundamental concern for the principle of equity in health and health care. The lab is growing rapidly in the number, complexity and size of our data assets, the number and span of our internal and external collaborations, and in our primary data sharing activities. The Lab, funded predominantly by agencies of the U.S. Department of Health and Human Services along with private philanthropy currently employs about 15 full and part-time researchers across disciplines including epidemiology, gerontology, anthropology, public health, and health care communications. The lab routinely collaborates across disciplines, University of Chicago units, and with investigators at other institutions including experts in the fields of computer science, design, architecture, psychology, public health and other medical and social science fields. In addition to her scholarly work, Dr. Lindau is a practicing gynecologist with specialized expertise in prevalence, prevention and treatment of sexual disorders in women. The work of the lab focuses in two main areas: 1) urban health and population health improvement, with a particular concern for people living in high-poverty communities and; 2) preservation and treatment of female sexuality in the context of aging, cancer and other common diseases. The two main areas of work include the South Side Health and Vitality Studies (SSHVS) and the Program in Integrative Sexual Medicine (PRISM). SSHVS is a well-established collaborative effort between university researchers and community members that aims to understand how community assets and information and communication technologies can be used to improve health and vitality.
Unit Job Summary: The Director of Study Design and Analytics will have a senior leadership role in the Lindau Lab supporting research and training efforts. This individual is a member of the leadership team in the lab and will liaise with leaders responsible for: data governance, training, research operations (including budget, finance, and personnel), and special projects. This individual leads the Lindau Laboratory analytic team, which currently includes a full time PhD researcher (social sciences), two part time PhD researchers (gerontology, anthropology), and a full time data analyst, and collaborating analysts in the Department of Population Health Sciences (which conveniently shares space adjacent to the Lindau Lab) and other partnering labs. This position reports directly to Dr. Lindau. Study Design (50%) Perform significant leadership and creative role in the design, development and execution of quantitative studies using observational, quasi-experimental, experimental and simulation designs as appropriate. Provide leadership on requirements for working with human subjects, as defined by University Institutional Review Boards. Manage and develop the analytic team, ensuring that projects progress according to specified timelines and skills grow to meet the evolving needs of the research program. Provide leadership in the implementation of community-engaged research strategies. Develop and oversee the analytic components of research trainees, including individual and small group research efforts and occasional larger group classroom-style instructional sessions. Lead the study design and analytic components of proposals, manuscripts and other dissemination materials, including writing the analytic approach, conducting analyses and supervising analytic team members in supporting proposal development activities Author and co-author dissemination materials including manuscripts, presentations and other materials and guide junior researchers to success as authors and co-authors in these activities. Collaborate productively with faculty and other research staff to grow the research program and to cultivate and maintain key collaborative relationships. Data Management and Analysis (50%) Oversee development and management of all research databases, implementing quality control measures and testing functional capacity. Oversee and conduct preparation of datasets for analysis by coding, cleaning and organizing data. Oversee and conduct descriptive and multivariate analyses as needed to accomplish the goals of the research program.. Apply high-level research and writing skills in combination with data analysis skills to ensure timely and effective dissemination of study findings. Oversee analytic team and trainees in data analysis projects, duplicating analyses as needed.
Unit Education: Ph.D. in epidemiology, biostatistics, sociology, psychology, policy, econonomics, nursing, health services or related field, required.
Unit Experience: Expertise in epidemiology, social science, population health, gerontology and women's health research preferred. Demonstrated ability in effective management and training of junior-level researchers required. Demonstrated success in development and writing of federal and other funding proposals and development of sound human subjects protocols required. Outstanding quanititative skills and experience with qualitative analysis required. Demonstrated success in project and people management required. Demonstrated skills using analytic software including STATA or the equivalent required; ArcGIS preferred; social network and systems science experience a plus. Expertise in database development and ongoing management required. Experience in community-engaged research strategies preferred. Proven expert level proficiency in Microsoft Word, Excel, PowerPoint, Zotero and facility with Medline/Pubmed, Web of Science and social science search engines and literature required. Ability and interest to work with sensitive subject matter and maintain strict confidentiality regarding research subjects and patients required.
Unit Job Function Competencies: Ability to train and manage others required. Knowledge of regulatory policies and procedures required. Knowledge of scientific applications and equipment required. Analytical skills required. High attention to detail and the principles of scientific integrity required.