Precision Medicine Group

Precision Medicine Group

Associate Research Scientist, Evidence Generation

Remote, United States · Internship

Sponsorship not specified$66k-$94kDetected 6 days ago
Data AnalysisProject ManagementBusiness DevelopmentExcelPublic HealthSASSTATAScientific WritingResearchCommunicationProblem SolvingOrganizational SkillsBiostatisticsEpidemiology

About the role

  • As an Associate Research Scientist on the Evidence Generation team, you will contribute to multiple projects, working with cross-functional teams across mixed-methods research approaches and a range of therapeutic areas.
  • development of data collection instruments (e.g., surveys, interview guides)
  • Deliverable Creation: Contribute to the development of project deliverables under the guidance of senior team members with methodological and subject matter expertise.

Responsibilities

  • Support all aspects of execution of primary data collection research studies, including literature reviews; development of data collection instruments (e.g., surveys, interview guides); study protocols; data collection; data analysis and interpretation; and support dissemination activities.
  • Assist with the delivery of project components by collaborating with team members to ensure high-quality outputs and help maintain project timelines for assigned tasks.
  • Support client engagement activities by drafting update slides for regular client meetings with guidance from senior team members, and documenting meeting notes, action items, and next steps.
  • Study Execution: Support all aspects of execution of primary data collection research studies, including literature reviews
  • Project Management: Assist with the delivery of project components by collaborating with team members to ensure high-quality outputs and help maintain project timelines for assigned tasks.
  • Client Management: Support client engagement activities by drafting update slides for regular client meetings with guidance from senior team members, and documenting meeting notes, action items, and next steps.
  • You assist with the implementation of research plans and methodologies, working closely with team members to support study execution and project coordination.
  • You have strong verbal and visual communication skills and can support the development of client-ready presentation materials (e.g., slide decks) to convey insights to internal and external stakeholders.

Requirements

  • 1-2 years of relevant prior research experience, including research conducted for undergraduate or graduate programs
  • Proficiency in quantitative and/or qualitative research methods, including experience in data analysis platforms/programs (e.g. Dedoose, NVivo, R, SAS, Stata)
  • Strong organizational skills, including the ability to meet deadlines and balance competing demands
  • Precision is required by law in some states or cities to include a reasonable estimate of the compensation range for this role.

Nice to have

  • Previous consulting or internship experience (preferred but not required)

Skills

  • Strong verbal and written communication skills

Compensation

  • Precision is required by law in some states or cities to include a reasonable estimate of the compensation range for this role.

Benefits

  • You have an interest in health economics and outcomes research and a basic understanding of the pharmaceutical industry and medical affairs, with a willingness to learn how to identify client needs and considerations.
  • You have experience supporting activities that contribute to collecting data from multiple types of stakeholders in the healthcare ecosystem: patients, caregivers, providers, payers and policy makers.
  • Master's degree or PhD in a subject related to health services research e.g., health economics, public policy, health policy, epidemiology, biostatistics, public health or related discipline

Equal opportunity

  • Precision Medicine Group is an Equal Opportunity Employer.

This listing is sourced directly from Precision Medicine Group's careers page and normalized into a canonical job model.