About The Position

Red Nucleus is hiring a Associate/Sr. Associate Consultant - Epidemiology & Outcomes Research to join our global team. This role will be remote. Our purpose is advancing knowledge to improve lives. We succeed by being the premier provider of strategic learning and development, scientific advisory services, and medical communications solutions for the life sciences industry. Our global team is composed of nearly 800 full-time employees whose commitment to creativity, quality, and on-time delivery is unrivaled in our space. At Red Nucleus, we believe in providing a rich working environment that pushes us to innovate in ways that engages our employees to be their best selves. Our culture is about meaningful work, a true sense of community, and fun. We love to celebrate our people and we are proud to have been Internationally recognized as a “Great Place to Work".

Requirements

  • Sound HEOR, epidemiological, and analytical skills, with the ability to critically interpret complex scientific and health outcomes data.
  • Strong problem-solving mindset paired with excellent written and verbal communication skills.
  • Proactive, flexible, and resourceful, with the ability to work independently and manage ambiguity.
  • Excellent team player who is self-motivated and dependable.
  • Proficiency in Microsoft Office - PowerPoint, Word, and Excel - and familiarity with reference-management software such as EndNote or equivalent.
  • Working knowledge of AI tools and their application to research and analysis workflows.
  • MPH, MSc, MPharm, or equivalent postgraduate qualification in Epidemiology, Health Economics, Outcomes Research, Biostatistics, Pharmacy, Public Health, or a related life sciences discipline.
  • 4-6 years of relevant experience in HEOR, epidemiology, evidence synthesis, or related research within pharmaceutical companies or Life Science consulting firms.
  • Demonstrated experience conducting secondary research, literature reviews, evidence synthesis, and interpreting complex scientific data.
  • Experience managing multiple projects concurrently, with some guidance from senior team members.

Responsibilities

  • Support the design and execution of systematic literature reviews (SLRs), targeted literature reviews (TLRs), and other evidence reviews, including development of search strategies, screening criteria, data extraction frameworks, and evidence synthesis approaches.
  • Conduct structured searches across bibliographic databases and other relevant evidence sources; screen literature against project-specific inclusion/exclusion criteria and supervise junior colleagues on the same.
  • Extract data in a structured manner, perform in-depth quality control, critically appraise studies, and interpret clinical, epidemiological, economic, and health outcomes evidence.
  • Resolve complex data issues, identify key evidence gaps and insights, and summarize scientific data clearly and accurately.
  • Support qualitative and narrative evidence synthesis across projects, including areas such as burden of disease, treatment patterns, unmet need, clinical outcomes, and other health outcomes evidence.
  • Develop and implement strategies to ensure accurate and timely delivery of analysis results.
  • Manage multiple projects simultaneously with some guidance from senior team members.
  • Support development of high-quality scientific and client deliverables, including literature review reports, manuscripts, evidence/value dossiers, abstracts, posters, and presentations, as appropriate to the project.
  • Participate in client meetings and deliverable presentations, contributing analytical insight, interpretation of findings, and project updates.
  • Support senior team members in project scoping, methodology development, proposal preparation, and estimation of project requirements.
  • Provide guidance and quality oversight to junior colleagues on literature screening and data extraction.
  • Collaborate proactively with senior consultants and cross-functional teams to ensure project objectives are met.
  • Contribute to internal knowledge sharing, training, methodology development, and continuous improvement of research processes and tools.
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