Position Title: Data Scientist (Real World Data)
Location: Freiburg, Germany
Who we are:
TriNetX Oncology GmbH is a renowned vendor for regulatory grade, fit-for purpose oncology real-world data (RWD) and real-world-evidence (RWE) in Europe. By collecting representative, granular, and high-quality data we analyze the diversity of cancer care across the continent.
TriNetX Oncology regularly delivers comprehensive, in-depth insights to our valued clients and partners within the pharmaceutical industry by providing detailed, representative, and longitudinal analyses on epidemiology, patient profiles, disease characteristics, treatment algorithms, outcome assessments, and institutional attributes. These insights play a crucial role in facilitating external control arms, conducting adjusted comparison analyses, offering HTA support, generating business intelligence, and beyond.
What you bring to TriNetX Oncology GmbH:
- A strong background in Biostatistics, Statistics, Bioinformatics, or a related field (MSc. preferred)
- A track record of working on complex biostatistical analyses.
- Strong programming experience with at least one common programming language and tools such as R, R/shiny, Python, Java, Docker, etc., as well as best practices in coding.
- Work experience with medical data, preferably in a regulated environment (e.g., GxP).
- A proven ability to quickly familiarize yourself with new topics and an interest to grow & develop in the domain of health care data analysis.
- Strong collaboration skills and experience with version control systems.
- The ability to work in a changing and agile environment with international collaborations.
- Very good communication skills including presentation of results and moderation.
- Fluency in English and German.
What you will be doing:
- Conduct and support the implementation of biostatistical methods and advanced analytics.
- Analyzing data to support External Control Arms (ECA), adjusted comparisons, epidemiological key facts, patient profiles, disease characteristics, treatment algorithms and outcome assessments (e.g., time-to-event analyses).
- Development of ETL- (extract, transform, load) and analytical pipelines.
- Harmonization and standardization of various data models.
- Drafting abstracts, manuscripts, and posters for publication in prestigious medical conferences and peer-reviewed journals.
What we offer:
- A globally operating, multinational team of experts in a welcoming, communicative, and harmonious work environment.
- Specialization in the transformation of Oncology Real-World Data into Real-World Evidence, capitalizing on the current trend in the field.
- Exposure to, and collaboration in, advanced analytical methodologies, such as high-profile multivariate analyses, external control arms, and predictive and prognostic data modelling.
- Possibilities for personal and professional development on a global scale.
- Authorship in abstracts, manuscripts, papers, and posters, published at high-ranking medical congresses.
- 30 days of annual paid leave.
- A competitive incentive package.