Senior Research Associate - Epidemiology

Role overview

Scientific project work

• Design and implement de novo retrospective, prospective, and/or cross-sectional data-collection projects under oversight of senior staff.
• Provide scientific guidance on methodological and operational project-design and conduct considerations.
• Develop draft protocols, analysis plans, case report forms, survey questions, reports, and other deliverables for senior review.
• Engage with sponsors, physicians, clinical sites, and other relevant contacts.
• Coordinate project scope, progress, and team tasks across multiple projects; monitor budget spend and scientific timelines.
• For some client engagements, serve as Principal Investigator with final responsibility for project budget, deliverables, and timelines.
• Lead or coordinate abstracts and manuscripts.

Client and organizational contributions

• Participate in client calls, answer questions about assigned work, and contribute to client or project strategy under senior direction.
• Support business development through proposal development, sales-cycle participation, conference attendance, and presentations.
• Collaborate with clinical operations, data management, biostatistics, data analysts, and project partners.
• Contribute to training materials and process improvements; may mentor or manage junior staff or interns.

Education and experience

• PhD in epidemiology or a closely related field, or MSc with 3–5 years of relevant experience, is required.
• Good understanding of epidemiologic methodology is required.
• Consultancy or CRO experience is highly desirable.
• Experience with de novo data-collection field projects, particularly non-interventional designs, is preferred.
• Experience designing peri- or post-approval late-phase interventional projects is not required but is a plus.

Skills and tools

• Fluent spoken and written Mandarin Chinese is required.
• Strong written English communication is needed for scientific reports, presentations, emails, and other deliverables.
• Working knowledge of MS Office is expected; data-analysis software such as SAS, Stata, or R is a plus.
• Strong organization, time management, prioritization, decision-making, communication, interpersonal skills, and professional judgment are expected.
• Formal presentation experience and the ability to learn new information and adapt to project changes are expected.

Schedule and work environment

• Work schedule is standard Monday through Friday.
• The posting title and location identify the role as remote; the description's environmental-conditions field states Office.

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