Bioinformatics Scientist (Computational Biology)

Key Skills

C Programming, C++, Cloud computing, Data science techniques, Java Programming, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

As a Computational Biologist/Bioinformatics Scientist, you will analyze some of the largest, the richest genomic datasets in the world to find biological signals and patterns and guide our assays, bioinformatics pipelines, and product strategies. Working closely with other scientists, clinicians, and engineers, you will develop novel methods and employ existing tools to investigate the biology of tumor-derived cell-free DNA, and how that relates to the performance of tests, products, and machine learning solutions for clinical oncology applications. You will complete statistical analyses operating across GRAIL’s datasets and data from collaborators in academia and industry. Your analyses will result in exciting discoveries in cancer biology, impactful publications, and products for the early detection of or support for patients with cancer. 

You will:

• Model and analyze large, complex NGS (DNA, RNA, or epigenetic) datasets using machine learning and statistical methods to generate biological insights.
• Relate these insights to their impact for patients afflicted with cancer.
• Perform end-to-end analyses that include data gathering, processing, analysis, iteration with collaborators, and presentation of results.
• Interact cross-functionally with other teams including software, clinical, operations, research, product development, and external collaborators.
• Build, present and report analyses that reinforce scientific rigor and quality and which maintain GRAIL’s statistical culture.

Your background should include:

• M.S. or Ph.D. in Bioinformatics, Computational Biology, Statistics, Biological Sciences, Cancer Biology, Genetics, Genomics, Computer Science, Physics, or equivalent preparation 
• 3+ years work experience in a related industry.
• Consistent record of frequently cited publications, impactful tools, products, or data sets released to market or used by the scientific community, or presentations at international conferences and awards.
• Deep understanding of modern statistical and machine learning methods for the analysis of genomics datasets.
• A solid understanding of cancer biology and clinical schemes to characterize and categorize tumors.
• Demonstrated ability to apply these skills to uncover new biological insights from large genomics datasets.
• Demonstrated expertise in at least one programming language (R, Python, Go, C++), proficiency in Linux environment, version control tools, and reproducible research practices. 
• Self-direction, willingness to both instruct others and learn new techniques.
• Effective written and verbal communication skills.
• Collaborative mentality 

GRAIL is an Equal Employment Office and Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status. We will reasonably accommodate all individuals with disabilities so that they can participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.