Senior Medical Statistician / Medical Statistician, RWE

Holmusk; United Kingdom; Remote; GBP 40,000 - 80,000; Full time

Job summary

An innovative firm is seeking a Senior Medical Statistician to lead projects leveraging real-world mental health data. This role involves designing studies, ensuring data quality, and communicating complex findings to diverse audiences. Join a passionate team dedicated to improving psychiatric outcomes through advanced analytics. Enjoy the flexibility of remote work while contributing to impactful projects with leading pharmaceutical companies. This is an exciting opportunity for professionals looking to make a significant difference in mental health research.

Qualifications

• Post-graduate qualification in Statistics or related field.
• 3+ years programming experience with R and/or Python.

Responsibilities

• Assist with the design and conduct of studies using real-world data.
• Write scientific study proposals and reports.

Skills

R Programming

Python

SQL

Epidemiological Methods

Data Cleaning

Statistical Analysis

Scientific Writing

Project Management

Communication Skills

Education

MSc in Statistics

PhD in Epidemiology

Job description

Join to apply for the Senior Medical Statistician / Medical Statistician, RWE role at Holmusk

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Join to apply for the Senior Medical Statistician / Medical Statistician, RWE role at Holmusk

Holmusk, a 2019 World Economic Forum Technology Pioneer, is building a leading real-world evidence platform in mental health. We leverage data and advanced analytics to accelerate research and improve outcomes in psychiatry across pharma, healthcare providers, and payers.

We are looking for a (Senior) Medical Statistician to contribute to and lead projects that leverage our real-world mental health database and advanced analytics to generate real-world evidence (RWE) in psychiatry.

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 audience.
• Work in a multidisciplinary team, including researchers, clinicians, and data scientists.

What We're Looking

• 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 other). Experience in psychometrics, health economics is a plus.
• Experience in data cleaning and wrangling
• Familiarity with a client-facing, healthcare-related environment is a plus (pharmaceutical companies, MedTech companies, consultancies)
• Experience in scientific writing and project management
• Excellent written and verbal communication skills
• You will be working alongside smart and easy-to-work with people who are passionate about what they do. We are a group of people who love solving challenging prob
• You will gain the opportunity to work with large pharmaceutical companies in their real-world evidence generation.
• We are a mature start-up, in the process of scaling up with room for ownership and growth.
• At Holmusk, we take pride in our diverse workforce and inclusive culture. We believe it takes all kinds of people to build the best products and bring real change to the healthcare space.
• Remote working with flexible schedule for in-person meetings.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Analyst, Research, and Science

• Industries

  Mental Health Care and Data Infrastructure and Analytics

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