Scientist III

Duties

• Support Oncology drug development efforts
• Identify, learn and apply emerging technologies in data science and its applications to novel 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

• 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 oncology or immunology knowledge, spatial transcriptomics, methylation, or liquid biopsy data analysis, public oncology database datasets (TCGA, GTEX, Human cell atlas, CZ CELLxGene Discover, 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)