In this role, the Research Associate will work on multiple projects without compromising on quality. Drive, determination, and a self-disciplined approach to achieving results are necessary for successful performance. The Research Associate will maintain ownership of, and accountability for, the projects they are on and ensure STRATENYM and industry best practices and procedures are followed. They will communicate constructively and effectively with other team members and clients. The Research Associate must have exceptional attention to detail, strong communication skills, and the drive to consistently deliver high-quality work while adhering to project timelines.
Key Responsibilities
This role may also include the following responsibilities:
Key Responsibilities
- Participate in the execution of systematic reviews and evidence synthesis projects, including:
- Contributing to research protocols and reports
- Conducting screening, extraction, validation, quality appraisal/risk of bias assessments
- Consolidating and applying data synthesis techniques to large bodies of evidence
- Work on projects from start to finish and interact confidently with clients
- Work within planned project timelines and budgets, and identify out-of-scope requests and scope overages in a timely manner
- Ensure adherence to established protocols and standards for conducting systematic reviews and other data synthesis projects
- Independently manage time to meet deadlines while being available for web-based meetings during working hours
- Accurately and consistently implement SLR lead, editor, client, and management feedback
- Work autonomously and collaborate remotely within a team environment
This role may also include the following responsibilities:
- Researching, writing, and referencing product-specific documents for the pharmaceutical industry—examples of documents include: clinical summaries, reimbursement submission documents, value stories and dossiers, manuscripts, conference abstracts and posters/presentations, and health-economic model technical reports
- Supporting teams with reference management software (e.g., EndNote) and reference platforms (e.g., Veeva)
- Developing proficiency in data synthesis and visualization techniques, including building proficiency in network meta-analyses and indirect treatment comparisons through self-directed learning and corporate-funded training
- Tasks supporting departmental or company goals, as assigned
- University degree (BSc, MSc, PhD, PharmD, MD) in a scientific/medical discipline
- Familiarity with systematic reviews and data synthesis techniques
- Expertise managing large data sets using Excel
- Excellent communication and writing skills, with the ability to distill complex information for diverse audiences
- Exceptional written and spoken English
- Confident and professional demeanour; comfort interacting with senior pharmaceutical company executives
- Ability to travel internationally
- Strong quantitative skills, with a deep understanding of how to report statistical analyses of clinical-trial and epidemiologic data
- Experience conducting systematic reviews and data synthesis projects, including proficiency in relevant software (e.g., Cochrane Review Manager, RevMan, EndNote, Distiller, Nested Knowledge, Covidence)
- Familiarity with principles and terminology of cost-effectiveness and budget-impact analyses
- Knowledge of AMA style, GPP3, and/or ICMJE guidelines
- Experience with R or other statistical analyses packages