Senior Medical Statistician

Summary

Join Holmusk, a leading real-world evidence platform in mental health, as a (Senior) Medical Statistician. You will contribute to and lead projects leveraging our real-world mental health database and advanced analytics to generate real-world evidence (RWE) in psychiatry. This role involves designing and conducting studies using real-world data (RWD), ensuring data quality and credibility, defining research questions and methodology, writing scientific reports, preparing datasets, implementing statistical methods, interpreting results, and communicating findings to various audiences. You will collaborate with a multidisciplinary team and work with large pharmaceutical companies. Holmusk offers a remote working environment with flexible scheduling and a diverse, inclusive culture.

Requirements

• Relevant post-graduate qualification (MSc/PhD in Statistics, Epidemiology, or related discipline)
• 3+ years of programming experience with R and/or Python
• Working knowledge of SQL
• Experience in epidemiological and medical statistics methods employed in observational research (e.g. survival analyses, propensity score methods, among others)
• Experience in data cleaning and wrangling
• Experience in scientific writing and project management
• Excellent written and verbal communication skills

Responsibilities

• Assist with the design and conduct of studies using real-world data (RWD) that evaluate clinical effectiveness of interventions and effect of different exposures in psychiatry
• Ensure that key aspects of the study in relation to the data quality, data credibility, and statistical assumptions are considered and evaluated, with key decisions documented
• Work closely with the study team to define research questions, appropriate methodology, and clear deliverables
• Write scientific study proposals and reports
• Prepare datasets for downstream analysis, implement statistical methods, and interpret study results
• Communicate concepts and complex ideas to general and technical audiences
• Work in a multidisciplinary team, including researchers, clinicians, and data scientists

Preferred Qualifications

• Experience in psychometrics, health economics
• Familiarity with a client-facing, healthcare-related environment is a plus (pharmaceutical companies, MedTech companies, consultancies)

Benefits

Remote working with flexible schedule for in-person meetings