ConnectHEOR
Senior Consultant - Statistics (RWE & Evidence Synthesis)
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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 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.
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Qualifications
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- Strong statistical and methodological skills in the context of RWE and evidence synthesis, including ITC, study design, advanced regression modeling, and meta-analysis techniques.
- 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
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