Staff Scientist - Geisinger Program Evaluation

Job Summary

Job Duties

The GPE Staff Scientist will be responsible for helping lead rigorous, primarily non-randomized (or partially randomized) evaluations of existing or new programs at Geisinger. The Staff Scientist will help lead or participate in study design, analysis (preferably using R), and reporting/dissemination of results to internal stakeholders (e.g., Geisinger leaders) as well as to academic audiences (e.g., at conferences and in academic publications). Evaluations from GPE team members have been published or are forthcoming in high-impact journals, including PNAS, Nature Human Behaviour, JAMA Network Open, and The Journal of Pediatrics. Additionally, the Staff Scientist will coordinate with other team members (e.g., Staff Scientist, Statistician, Project Manager).

• Develops and leads research projects within the defined scope of the supervising faculty member's research program.
• Responsible for gathering preliminary data for grant applications, completion of objectives of funded external grants, and preparation of completed work for publication.
• Contributes to writing grant applications and manuscripts.
• May submit authored grants with permission of the supervisor.
• Performs literature searches to gather information pertaining to research projects or procedures in order to develop new protocols, projects or grants applications for assigned work group.
• Responsible for determining experimental design, collecting data, performing calculations, and analyzing results.
• Responsible for reviewing research or data controls and determining that the research results are valid.
• Maintains and completes appropriate records of the purpose, methods, results, and conclusions from each research project.
• May oversee the work of support personnel in the work group at the discretion of the supervising faculty member.
• Participates in research meetings and formal seminars to present, explain, and discuss research conducted by the work group.
• May deliver presentations to extramural audiences at national meetings and academic institutions.

Work is typically performed in an office environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job.

Position Details

The ideal candidate will have expertise in field(s) related to health economics or health services research, and in non-randomized evaluation techniques (e.g., regression discontinuity, propensity scores) in a healthcare or other industry setting. A Ph.D. in economics, public health, biostatistics, epidemiology, marketing, management, psychology, or another relevant scholarly discipline is strongly preferred, with track records of publishing original empirical research, and collaborating with others.

The GPE Staff Scientist will be based in Danville, Pennsylvania at the main campus and headquarters of Geisinger. Remote work from another U.S. location (with occasional travel to Danville) may be possible for an exceptional candidate.

To apply: Please send a cover letter, C.V. or resume, and two representative scholarly publications in a single email to GeisingerProgramEvaluation@geisinger.edu . Please also include names, titles, and contact information for three references (we will contact you before reaching out to your references). Questions about the position may also be sent to the same address. Review of applications will begin immediately and will continue until the position is filled.

Major duties and responsibilities:

• Assisting the Associate Director in day-to-day operations and development of the GPE
• Liaising, initiating, and coordinating execution of projects with internal and external stakeholders; this includes Geisinger groups such as clinical departments, the IRB, and the compliance, quality, and legal functions
• Conducting literature searches and reviewing the literature to inform the team's projects
• Contributing to or leading manuscript drafting and submission for select evaluation studies (first author opportunities available)
• Participating in the design of interventions for evaluation and implementation at Geisinger
• Participating in data management, analysis, visualization, and reporting to assess the effectiveness of Geisinger programs, including assessing their effects on patient and other outcomes and quantifying the associated costs and return on investment
• Engaging in open science best practices (e.g., preregistration, preparing and sharing de-identified data and code)
• Disseminating GPE findings at scientific conferences and to lay audiences (e.g., sharing findings with Geisinger leaders)

Required qualifications:

• Experience using statistical software (preferably R, others acceptable)
• Strong critical thinking skills
• Curiosity and problem-solving skills to proactively identify solutions to pragmatic challenges in a complex healthcare system environment
• Ability to work in an independent manner and complete increasingly complex assignments
• Strong teamwork skills and the ability to work effectively in a group environment
• Exceptional organizational, planning, and analytical skills
• Competence in written, oral, and electronic communication skills (interpersonal/communication and technological effectiveness competencies)

Desired qualifications:

• Experience implementing applied research in a healthcare and/or relevant industry setting
• Experience with open science best practices
• Training in behavioral economics
• Experience with econometrics
• Experience with epidemiology
• Experience with implementation science
• Experience in interdisciplinary research and working in collaborative teams
• Experience in the healthcare industry
• Experience with programming and databases (e.g., Python, SQL)

Education and/or experience:

• A Ph.D. in economics, decision sciences, marketing, management, psychology, or any other relevant discipline is highly desired, but exceptional candidates with other credentials will be considered
• Graduate training in non-randomized research methods, including regression discontinuity or propensity matching
• Minimum 3 years' post-graduate experience managing behavioral or other research projects and supervising or otherwise collaborating actively in a team setting
• Scholarly publications

Education

Experience

Certification(s) and License(s)