Offer summary

Qualifications:

Post-graduate qualification (MSc/PhD) in Statistics, Epidemiology, or related field., At least 3 years of programming experience with R and/or Python., Knowledge of SQL for data management., Experience in epidemiological and medical statistics methods used in observational research..

Key responsibilities:

Design and conduct studies using real-world data to evaluate clinical effectiveness.

Ensure data quality, credibility, and statistical assumptions are considered and documented.

Collaborate with the study team to define research questions, methodology, and deliverables.

Write scientific study proposals and reports, and interpret study results.

Job description

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 audiences.

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

What We're Looking For

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 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

Perks

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 problems.

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.

Required profile