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. Role Description 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. Qualifications Strong statistical and methodological skills in the context of RWE and evidence synthesis, including ITC, study design, advanced regression modeling, and meta-analysis techniques. 5+ years of experience Hands-on experience with statistical programming tools (e.g., R, SAS, or similar) for data manipulation, analysis, and reproducible research workflows. Knowledge of epidemiology, HEOR principles, and real-world data sources such as claims, electronic health records, or registries. Ability to translate complex statistical concepts into clear narratives and visualizations for both technical and non-technical stakeholders. Excellent written and verbal communication skills, with experience in preparing technical documentation, reports, and presentations. Collaborative mindset with the ability to work effectively in remote, multidisciplinary teams and to mentor junior colleagues. Master’s or doctoral degree in Biostatistics, Statistics, Epidemiology, Health Data Science, or a related quantitative discipline. Experience in consulting, pharmaceutical, biotechnology, or healthcare analytics environments is highly beneficial. Demonstrated commitment to ethical, patient-centered research and openness to working within a culture that values
