Researcher in Epidemiology, Statistics, Bioinformatics, or Data Science with interest in real world data analysis and women’s health

The Department of Gynaecology and Obstetrics at Hvidovre Hospital is hiring a researcher with a background in epidemiology, statistics, data science, bioinformatics, medicine, or similar to join the data science team.

At the Department of Gynaecology and Obstetrics, we're passionate about making a real difference in women's lives. Our research directly impacts diagnostics, prevention, and treatment of reproductive health conditions, shaping guidelines and clinical practice.

As a part of the data science team, you will:

• Conduct registry-based analyses using cutting-edge causal inference methods, including emulated target trials, to draw robust conclusions from observational data.
• Develop and validate analytical pipelines for large healthcare and socioeconomic datasets.
• Collaborate with clinical researchers to translate research findings into improved clinical practice and guidelines.
• Contribute to the advancement of precision medicine in women's health broadly and gynecology, obstetrics, and reproductive medicine specifically.

Our data science team plays a crucial role in translating complex data into actionable insights that directly improve patient care and outcomes in women's health. You will be part of a highly intradisciplinary environment, in which medical doctors, biologists, and data scientists openly discuss issues and solutions to advance precision medicine within the broad area of women’s health.

Applications will be reviewed upon receipt, and interviews may be scheduled at any time, depending on applicant availability.

Projected start date: As soon as possible

Qualifications

• Background in epidemiology, statistics, data science, bioinformatics, medicine, or a related field.
• 3+ years’ experience analyzing real world data (Claims data, electronic health records, or patient registries, secondary RCT analysis, or similar).
• Proficiency in Python or R, with data manipulation and visualization experience.
• Professional proficiency in English.

Preferred, but not essential,

• Knowledge of basic concepts on gynecology, obstetrics, or reproductive physiology to facilitate effective collaboration with clinical researchers.
• Familiarity with workflow management systems (e.g., Snakemake) for building and maintaining robust data analysis pipelines.
• Experience with git version control for collaborative code development and project management.

The application should include cover letter, curriculum vitae, and relevant diplomas.

The position is full-time, 37/hours per week. The appointment will be based on the collective agreement with the relevant union.
The position is limited to a one-year period but can be extended.

For further information, contact Senior Researcher David Westergaard (e-mail: [email protected]).