We are looking for a Computational Biologist to focus on analysis and interpretation of omic data for the development of cancer therapeutics. The candidate should understand biology fundamentals, and will leverage bioinformatic and computational biology tools to provide scientific insights. This is an exciting opportunity to work with a dedicated team of scientists to form data-driven decisions, propose actionable and testable solutions to identify and progress novel, patient-focused immuno-oncology therapeutics. The candidate will be expected to contribute to our mission to provide innovative therapies to patients across our pipeline of novel immuno-oncology therapeutics. The candidate will be expected to contribute to projects across the entire drug discovery spectrum from target identification and validation through early clinical proof of concept.
- Apply computational methods to visualize and interpret data types including genomics, transcriptomics, single cell sequencing, and proteomics.
- Develop and utilize existing NGS pipelines to support existing and new assays.
- Perform analyses to aid in understanding of drug indication, mechanism of action, identification of response predictors and translational biomarkers.
- Prepare and present comprehensive technical or project reports.
- Use defined practices and technical skills to perform analysis, interpret results and recommend appropriate future actions in collaboration with project teams and external vendors
SCOPE OF SUPERVISION:
SUPERVISED NUMBER OF EMPLOYEES
EDUCATION, EXPERIENCE, KNOWLEDGE AND SKILLS:
- Bachelor s degree in computational biology, bioinformatics, biostatistics, computer science, or equivalent with 4+ years of experience, or Master's degree with 1+ years of experience. Experience with oncology or immunology is preferred.
- Demonstrates basic knowledge of bioinformatics and computational biology.
- The ideal candidate would have experience with most of the following and a willingness to learn
- Demonstrate experience with large-scale 'omics and other high content data analysis.
- Have experience interacting with public domain data sources.
- Have experience in alignment and quality control of sequencing data.
- Have a scientific understanding of molecular biology and genomics.
- Be experienced with one or more genomic data types, including: DNA, RNA, Epigenetics, and single cell sequencing platforms and assays.
- Have strong data analysis and troubleshooting skills.
- Be fluent in at least one programming language (e.g., R, Python, Perl, Java, C / C++) and some experience working in a Unix-based computing infrastructure.
- Be familiar with distributed computing, databases (e.g., SQL) and have some experience with cloud computing.
- Have excellent communication, presentation, and interpersonal skills.
- Be organized, detail oriented, and rapidly learn new techniques.