Data Integration Specialist
The Data Integration specialist is a scientific, technical and process expert for the annotation and integration of human cohort datasets generated across the whole organization or acquired externally in support of ongoing drug development. Data sources will include patient level clinical trial data, and biomarker data from laboratories and biomarker development groups. The data integration specialist will integrate into a team of data analysis experts and will work to understand and manipulate highly complex clinical and low/high dimension biomarker data sets in order to create analysis ready merged datasets (Data Marts). Proper annotation and integration of clinical and biomarker data should fully enable advanced analytics, discoverability, use and subsequent re-use of these important company assets.
- Track relevant clinical data and all planned and already-generated biomarker data for clinical trials (both active and closed), external human cohort studies and procured tissue collections and create Data Marts
- For all Data Mart instances and together with curators, ensure clear annotation; descriptions of the nature and provenance of source data; reproducibility of analyses; and a list of contacts, including the primary bioinformatician, biostatistician and biomarker scientist as well as the individual granting access authorization
- Generate study specific Data Mart and annotations that are optimized for data analysis tools and data aggregation whenever project or across project-level analyses are required
- Support the guidelines and policies on the decision-making process. Contribute to elaboration of best practices for data generation, aggregation, shared data use, and data exploration
Qualifications and Experience:
- MSc Degree in Life Sciences, Bioinformatics, Biostatistics, or Data Science plus 5 years of experience, or a PhD with at least 2 years of experience in the pharmaceutical or diagnostics industry
- Prior experience analyzing biomarker data and a proven track record of working with human cohort data sets, preferably high dimension (-omics) data sets, with a desire to apply this knowledge to existing and new scientific challenges.
- Knowledge of the UNIX/Linux operating system and demonstrated proficiency in SAS and R.
- Good knowledge of basic biological principles and the pharmaceutical or diagnostic development process
- Systematic, structured, and pragmatic approach to tasks, with good attention to detail
- Able to deal positively and patiently with multiple requests and priorities
- Drive for results (demonstrates interest and ability to learn new things, takes initiative, welcomes problems as challenges, finds solutions to technical problems, persists in the face of diversity)
- Great team player with strong written and oral communication, collaboration, and organizational skills
- Familiarity with LIMS systems, relational databases, data visualization tools (e.g., Spotfire)
- Fluent in both written and spoken English
- Relevant working/residency permit or Swiss/EU-Citizenship required