Data Scientist III

Overview

Leading pharmaceutical company looking for an experienced Data Scientist III. Ideal candidates should have a PhD degree and experience programming experience with Python and R for bioinformatic data analysis in unix-like systems. Additional relevant experience includes proficiency in working with bulk and single cell NGS data, working with high performance computing clusters (HPC), and biological pathway analysis.

Responsibilities

• 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

Requirements

• 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)
• Programming experience with Python and R for bioinformatic data analysis in unix-like systems
• Proficiency in working with bulk and single cell NGS data
• Proficiency in working with high performance computing clusters (HPC)
• Proficiency in biological pathway analysis

Preferred Skills

• 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)