Position Title: Junior Data Scientist (Real World Data)
Location: Freiburg, Germany or remote
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 will be doing:
You will work within a dynamic international team and independently after the induction phase. We value collegial and open communication very highly. In doing so, you will primarily deal with the following main topics:
- Development and implementation of biostatistics methods and advanced analytics
- Cleaning, preprocessing, and analysing real world data to extract meaningful patterns and trends in consultation with Senior Data Scientist.
- Development of ETL and analysis pipelines
- Harmonization and standardization of data models
- Build and maintain robust and efficient code for data quality monitoring, preprocessing, analysis and machine learning applications.
- Collaboration between departments and with clients to identify data processing and visualization requirements and implement automated solutions.
- Create data visualizations, reports, and dashboards to communicate findings to stakeholders.
- Collaboration on publications
Your Qualifications:
- Strong background in Mathematics, Statistics, Bioinformatics or a related field (Master degree
Ideally with experience in the healthcare sector and handling of patient level data
- Very good communication skills including presentation and moderation
- Programming experience with at least one common programming language and tools such as Python, R, R/shiny, Java, Docker, etc,
- Strong collaboration skills and experience with version control systems
- Ability to work in a changing and agile environment with international collaborations
- Fluency in English
- Preferred:
Fluency in German
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.