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ConnectHEOR is seeking a Senior Consultant - Statistics (RWE & Evidence Synthesis) for a full-time remote role in the United Kingdom. You will lead design, execution, and interpretation of advanced statistical analyses for real-world evidence and evidence synthesis, including ITC methods and meta-analyses, collaborating with epidemiologists, health economists, and medical writers.
The ideal candidate has 5+ years of experience, strong programming skills in R/SAS, and a track record of clear,
Company Description ConnectHEOR is a health economics and outcomes research (HEOR) organization focused on transforming healthcare through a blend of compassion and innovation. Guided by the principle that “Kindness is Cost-Effective,” the team works on sustainable, data-driven solutions that deliver value for clients and the broader healthcare ecosystem. The company fosters a dynamic, supportive environment that encourages creativity, collaboration, and personal growth, enabling team members to perform at their best. By combining deep subject-matter expertise with advanced technologies such as AI, ConnectHEOR addresses complex challenges in HEOR and real-world evidence (RWE) to improve patient outcomes and healthcare efficiency. Team members are invited to contribute to impactful solutions that help build a more effective, sustainable, and humane healthcare system.
The Senior Consultant - Statistics (RWE & Evidence Synthesis) is a full-time remote role responsible for leading the design, execution, and interpretation of statistical analyses for real-world evidence and evidence synthesis projects. This role includes developing analysis plans, selecting appropriate statistical methods, and performing advanced modeling for observational studies, meta-analyses, ITC (MAIC, STC, ML-NMR, NMA) and other HEOR-related projects. The Senior Consultant collaborates closely with cross-functional teams, including epidemiologists, health economists, and medical writers, to ensure methodological rigor and clear communication of findings. Day-to-day responsibilities involve data management, quality checks, implementation of statistical code, documentation of methods, and preparation of technical reports and client-ready deliverables. The role also contributes to methodological innovation, supports business development efforts with scientific input, and mentors junior team members.