Epistat is hiring a RWE biostatistician
Job Description: Real-World Evidence (RWE) Statistician
About Us:
Epistat is specialised in real-world evidence (RWE) and health economics and outcomes research (HEOR) to support clinical decision-making, policy formulation, and market access strategies.
Position Summary:
We are seeking a highly skilled and motivated Real-World Evidence (RWE) Statistician to join our dynamic team. The RWE Statistician will play a crucial role in designing, analyzing, and interpreting real-world data (RWD) to generate actionable insights that drive healthcare decisions. The ideal candidate will have a strong background in biostatistics, epidemiology, and RWE methodologies, along with experience in managing and analyzing large healthcare datasets.
Key Responsibilities:
Study Design and Methodology:
Design and develop robust statistical analysis plans for RWE studies, including observational studies, registries, and pragmatic clinical trials.
Collaborate with cross-functional teams to define research objectives and develop appropriate study designs and methodologies.
Ensure the use of appropriate statistical techniques and methodologies to address research questions and meet study objectives.
Data Management and Analysis:
Manage and analyze large, complex real-world datasets from various sources, including electronic health records (EHR), claims databases, and patient registries.
Perform data cleaning, validation, and quality control to ensure data integrity and reliability.
Conduct advanced statistical analyses, including multivariate regression, survival analysis, propensity score matching, and machine learning techniques.
Results Interpretation and Reporting:
Interpret and communicate statistical findings to internal and external stakeholders, including clinical teams, regulatory authorities, and healthcare providers.
Prepare detailed reports, manuscripts, and presentations for scientific publications and conferences.
Ensure the accurate and transparent reporting of study results in accordance with regulatory guidelines and industry standards.
Collaboration and Consultation:
Provide statistical expertise and consultation to project teams, researchers, and clients.
Collaborate with epidemiologists, health economists, and other scientists to integrate statistical analyses into broader research initiatives.
Participate in the development of research proposals and grant applications.
Qualifications:
Education:
PhD or Master’s degree in Biostatistics, Epidemiology, Statistics, or a related field.
Experience:
Minimum of 10 years of experience in biostatistics or a related role within the healthcare industry, with a focus on RWE.
Proven experience in managing and analyzing large real-world datasets.
Strong track record of scientific publications and presentations in peer-reviewed journals and conferences.
Technical Skills:
Proficiency in statistical programming languages (e.g., SAS, R, Python).
Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
Knowledge of healthcare data sources, including EHRs, claims databases, and patient registries.
Soft Skills:
Excellent analytical and problem-solving skills.
Strong communication and interpersonal skills.
Ability to work independently and as part of a multidisciplinary team.
Detail-oriented with strong organizational skills and the ability to manage multiple projects simultaneously.
Benefits:
Competitive salary and performance-based bonuses.
Comprehensive health, dental, and vision insurance plans.
Retirement savings plan with employer matching contributions.
Professional development opportunities and continuing education support.
Flexible work environment with opportunities for remote work.
Application Process:
Interested candidates are invited to submit their resume, a cover letter detailing their relevant experience, and contact information for three professional references to [email address or application portal].
Epistat is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.