Staff Bioinformatics Scientist - Post Diagnostic Applications

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

This position is with the post-diagnosis team within GRAIL's Bioinformatics and Data Science organization. We are building a team to monitor the dynamics of disease burden and to characterize disease biology with a focus on the post-diagnostic setting. We work with interdisciplinary scientists, clinicians, engineers, and external collaborators to build new diagnostic products to support pharmaceutical development and cancer patient care.

You Will:

• Interact externally with pharmaceutical company collaboration partners to develop, improve, and/or test GRAIL algorithms for post-diagnostic product applications.
• Design, execute, and own analyses of large, sophisticated genomics datasets using machine learning and statistical methods to generate biological insights.
• Create and communicate meticulous scientific analyses.

Your Background Includes:

• Ph.D. in Bioinformatics, Statistics, Computational Biology, Cancer Biology, Genetics, Genomics, Biological Sciences, Computer Science, Physics, or equivalent preparation and experience.
• Robust understanding of modern statistical and machine learning tools for the analysis of genomics datasets and their use in clinical test development.
• Proven ability to apply these skills to uncover new biological insights from large genomics datasets.
• Expertise in R or Python is required, proficiency in Linux environment, version control tools, and reproducible research practices, experience with version control tools and reproducible research practices in a Linux environment.
• Proven track record of scientific contributions demonstrated by highly cited publications, tools, products, or data sets used in commercial products and by the scientific community, presentations at international conferences, intellectual property, and awards.
• 3-5+ years relevant experience in positions of increasing responsibility
• A history of delivering the design, execution and leadership of industry projects in a regulated environment, involving oncology applications, next-generation sequencing, or molecular tests.
• Self-direction, willingness to both teach others and learn new techniques.
• Effective written and verbal communication skills.

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.