Genmab is searching a Bio-informatics Scientist for its Utrecht location.
You will work in multidisciplinary international project teams to discover and develop antibody therapeutics. As a senior or principle scientist in the Bioinformatics and Translational Research department you will guide the development of ground-breaking new medicines from concept to the clinic by the design and execution of cutting-edge research.
Key Accountabilities include:
- You work together with other scientists to develop and expand cutting-edge bioinformatics tools and capabilities within the Genmab organization.
- You will utilize these bioinformatics tools and capabilities to drive oncology translational and discovery research to identify new cancer targets, and to find and develop appropriate biomarkers for clinical development (pharmacodynamic, predictive, stratification, surrogate biomarkers, etc).
- You will lead the design, expansion, and maintenance of internal pipelines for computational analyses
- You manage bioinformatics projects, both in house as well as outsourced to service providers.
- You work with internal and external parties in project- and expert-teams.
- You report scientific results in patents, publications, regulatory documents and product-development reports.
- As part of the Translational Research department, you will part be of a team of world-class scientists and research associates with state-of-the-art knowledge of the antibody and oncology field with the goal to transform oncology.
- You hold a PhD degree in Biology, Molecular Biology or Biochemistry
- You have excellent knowledge and good understanding of both molecular biology & applied bioinformatics
- You have good programming skills (at least two of: Perl, Java, Python, R) and are experienced in using relational databases like Oracle, MySQL or PostgreSQL
- You have a deep knowledge and practical experiences with bioinformatics tools and databases (sequence analysis, resources at NCBI & EBI)
- You know how to deal with large datasets (e.g. from next generation sequencing applications and gene/protein interaction networks, Omics-type data)
- You have experience with working with clinical data sets, including SDTM.
- Ideally you also have experience in or knowledge of clinical (bio-)statistics.
- You have worked with regulated environments such as ISO/GCP/GMP working with tools and databases such as blast, COSMIC or ENSEMBL.
- Recognized scientific leadership as documented by publications in high quality journals, references, and external presentations.
- You have a ‘getting things done’ mentality, you are pro-active, enthusiastic and goal orientated.
- Demonstrated ability to collaborate with a diverse and global group of scientists, research associates
- Able to work with clear timelines and organizational skills.
- You have excellent communicative and relational skills.