[Hiring] Staff Scientist/Biostatistician @GSS Geisinger System Services
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Role Description
Geisinger seeks an outstanding researcher to serve as a Staff Scientist/Biostatistician for the newly created Geisinger Program Evaluation (GPE) team, whose purpose is to conduct rigorous evaluations of potentially high-impact programs intended to improve patient health or improve efficiency at Geisinger.
• Help lead rigorous, primarily non-randomized (or partially randomized) evaluations of existing or new programs at Geisinger.
• Participate in study design, analysis (preferably using R), and reporting/dissemination of results to internal stakeholders and academic audiences.
• Coordinate with other team members (e.g., Staff Scientist, Data Analyst, Project Manager).
• Collaborate with the Behavioral Insights Team (BIT) on randomized prospective evaluations.
Qualifications
• Expertise in biostatistics, epidemiology, health economics, and/or health services research.
• Strong methodological training in causal inference using non-randomized (quasi-experimental and observational) study designs.
• A Ph.D. in biostatistics, epidemiology, health economics, public health, or another relevant scholarly discipline is strongly preferred.
• Track records of publishing original empirical research, collaborating with others, and disseminating work to technical and non-technical audiences.
Requirements
• Experience using statistical software (preferably R, others acceptable).
• Training in advanced, quasi-experimental and observational statistics.
• 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 independently 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.
Benefits
• Healthcare benefits for full-time and part-time positions from day one, including vision, dental, and domestic partners.
• Encouragement of an atmosphere of collaboration, cooperation, and collegiality.
Education and/or experience
• A Ph.D. in biostatistics, epidemiology, health economics, public health, but exceptional candidates with other credentials will be considered.
• Graduate training in non-randomized causal inference methods, including quasi-experimental and observational study designs.
• Minimum 3 years’ post-graduate experience managing healthcare or other research projects and supervising or collaborating actively in a team setting.
• Scholarly publications.
Position Details
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.
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