Yale School of Medicine, Section of Geriatrics is seeking a clinician educator-administrator as the new Associate Chief for Clinical Affairs. This role will report to the Section Chief, Dr. Terri Fried. This is an exciting opportunity to work with and lead a dynamic team of clinicians across an array of settings and with a growing faculty of renowned clinicians, educators, and researchers.
Responsibilities as Associate Chief for Clinical Affairs include leading all clinical activities for the section of Geriatrics, including Yale New Haven Health, all other clinical sites. Other responsibilities include, but are not limited to, providing direct clinical care and working to develop new programs in collaboration Department, Medical School, and Hospital and Health System leadership.
The Associate Chief works with the Associate Chief of Education for Geriatrics to enhance the geriatric educational experiences of an outstanding group of trainees (students, residents, fellows) in each of our clinical sites. Participation in a broad array of research projects is also possible. Yale also has an active and innovative Geriatric Workforce Enhancement Program.
The Associate Chief also acts as the NEMG (Northeast Medical Group) Medical Director. NEMG Yale New Haven Geriatric Services is an innovative clinical geriatrics practice providing care in the hospital, at home, in SNFs and in assisted living/continuing care retirement communities. This practice also provides co-management to older adults on select inpatient units of Yale New Haven Hospital.
Geriatric clinical fellowship training is preferred, with board certification in Internal Medicine or Family Medicine. Clinical program leadership experience is preferred. Interested individuals should apply and submit a letter of interest and curriculum vitae to Interfolio at http://apply.interfolio.com/120340.
Review of applications will begin immediately and will continue until the position is filled.
Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.
Research Track Expectations
- To independently propose biostatistical designs and analytical strategies for observational and interventional research at the Program on Aging.
- To carry out comprehensive statistical analyses for longitudinal observational studies, clinical trials, and basic research experiments, most often working on several studies simultaneously.
- To assist faculty and others with the formulation and description of appropriate statistical methods, sample size requirements, and best research methods as part of the grant preparation process.
- To assist investigators in the preparation of research grant applications by writing research methods sections pertaining to data collection, data verification, analysis, and interpretation.
- To articulate findings orally and in written reports to a diverse group of investigators from a variety of research backgrounds.
- To collaborate in writing manuscripts for peer-reviewed journals and in preparing reports that summarize the analysis of research data, interpret findings, draw conclusions, and make recommendations for future research.
- To present talks, lead seminar discussions, and make other presentations of the methodologies and analyses used at the Program on Aging at both local (Yale and surrounding region) as well as at national meetings such as the American Geriatric Society (national meeting in May) or the Gerontological Society of America (national meeting in November).
- To interact with internal contacts such as principal investigators, research project teams, clinicians, and data management staff to provide statistical input required in the design, conduct, and analysis of scientific research studies.
- To interact with external contacts such as subcontractors and research staff at other institutions to prepare grants, analyze data, interpret findings, and write and edit material for publication
Required Education and Experience
- A Ph.D. in Biostatistics, Epidemiology, or relevant field. It is strongly preferred that the candidate has at least three years of experience in the medical or biological sciences.
- Experience with epidemiologic studies or clinical trials, involving both categorical, count, and continuous outcomes, and experience in longitudinal modeling and methods for missing data.
Abilities and Skills:
- Candidates must be able to communicate well, both orally and in writing, and to work well with investigators having different clinical and epidemiologic backgrounds.
- Candidates must be able to work independently and creatively in developing testable hypotheses.
- Candidates must be able to set working priorities among various conflicting demands and work concurrently on several projects.
- Proficiency in SAS is preferred and the ability to use other statistical software (e.g., R, Stata, M-Plus, MATLAB, OpenBUGS) is highly valued.
- Competence in applying several methods among the following is expected, e.g., generalized linear models, survival models, mixed effect models, structural equation modelling, and Bayesian statistics.
- Competence in joint modeling, multistate models, latent class models, dyadic analysis, or growth mixture models, is desirable.
- Competence in the design of experiments, psychometrics, and instrument development is also desirable.
- Candidate must be open to learning new analytical approaches, software, and to presenting information to the Yale Program on Aging and to sponsoring investigators.
Yale University is an affirmative action/equal opportunity employer and welcomes applications from women, persons with disabilities, protected veterans and members of minority groups.
- Evaluates and analyzes data using accepted statistical and biostatistical techniques.
- Investigates, analyzes, and evaluates complex statistical and programming problems. Determines proper methodology, testing standards, and evaluation processes for research projects. Recommends and develops statistical approaches for use in analyses.
- Prepares analysis plans and writes detailed specifications for analysis files, consistency checks, tables, and figures; communicates with clients regarding statistical analysis issues.
- In collaboration with research investigators, contributes to the design of research studies, develops analytical plans, conducts statistical analysis and interpret the results.
- Ensures the integrity of databases used in analyses through development of essential data cleaning and checks, and data back-ups.
- Plans statistical programming activities and schedules to provide investigators with time frames for projects.
- Recommends and develops statistical approaches by testing and prototyping.
- Organizes and creates documents and tables related to datasets; communicates with data sources about data accuracy and data dictionary.
- Drafts statistical analysis and results sections for manuscripts, along with preparing journal quality tables and figures.
- Expected to participate as co-author in the preparation of abstracts, presentations, and manuscripts.
- Provide biostatistical consultation and assistance to faculty and others.
- May perform other duties as assigned
Required Education and Experience:
- Master’s Degree in Biostatistics, Statistics or relevant field.
- Two years of experience; or equivalent combination of education and experience.
- Proficiency in a statistical programming language.
- Two years working experience with data analysis and advanced SAS programming certificate preferred.
- Excellent written and oral communication skills: ability to write, discuss and present the statistical aspects of studies with Biostatistics team and clinical investigators.
- Excellent organization skills with the ability to multi-task by setting working priorities among several conflicting demands.
- A demonstrated ability to work both independently and as part of a collaborative team environment, with the Biostatistics team and clinical investigators having differing quantitative and clinical backgrounds.
- Advanced statistical programming skills (e.g., SAS and R) required. Experience with additional statistical tools is preferred.
- Ability to extract research data from REDCap, OnCore or other web-based clinical trials database system, merge files and prepare data for analysis.
- Ability to prepare written reports that summarize the analysis of research data, interpret the findings and provide conclusions and recommendations.