As an active team member of the Computational Innovation department at Boehringer-Ingelheim, the successful candidate will contribute to oncology drug discovery research through in silico data driven approaches. You will leverage multi-modal omics data analysis and collaborate with biologists to solve scientific challenges to advance drug discovery programs. This opportunity can be remote. Duties and responsibilities:
• Support Oncology drug development efforts
• Identify, learn and apply emerging technologies in data science and its applications to Client cancer therapeutics discovery and development.
• Apply and develop innovative analysis approaches when standard methods are not adequate
• Identify and process publicly available and internally generated datasets using statistical and bioinformatics techniques to create meaningful biological insights
• Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field
• Interpret, report, and present analysis results, with a high level of integrity and ethics, to biologists and collaborators.
• Ensure FAIR data analysis with clear documentation and reproducibility |
| Skills: | Skills:
• Programming experience with Python and R for bioinformatic data analysis in unix-like systems.
• Proficiency in working with bulk and single cell NGS data
• Experience with any of these topics is a plus: oncology or immunology knowledge, spatial transcriptomics, methylation, or liquid biopsy data analysis, public oncology database datasets (TCGA, GTEX, Human cell atlas, CZ CELLxGene Client, Human tumor atlas network, etc)
• Proficiency in working with high performance computing clusters (HPC)
• Proficiency in biological pathway analysis |
| Education: | PhD degree from an accredited institution with experience in computational sciences or a related scientific discipline (e.g., Computer sciences, Computational Biology, Genomics, Biostatistics, Bioinformatics and Biological Sciences) |
