Senior Data Scientist #4887

About the role

GRAIL is on a mission to revolutionize cancer detection by identifying it in its earliest stages, when treatment is most effective. We are dedicated to transforming cancer care through innovative technologies and collaborative efforts among various stakeholders. As a Senior Data Scientist, you will play a pivotal role in harnessing advanced data science techniques to enhance our understanding of cancer detection and improve our products.

Key facts

What you'll do

• Examine intricate, high-dimensional datasets derived from our multi-cancer early detection tests to uncover empirical patterns and share insights across various teams.
• Combine knowledge from cancer biology, DNA methylation, genomics, epidemiology, and statistical analysis to create predictive models that assess test performance and identify any inconsistencies.
• Collaborate with interdisciplinary teams, including experts in machine learning, software engineering, clinical operations, laboratory work, research, and product development, to facilitate comprehensive project execution.
• Produce and present thorough scientific analyses that contribute to the understanding and development of our products.

Requirements

• A Ph.D. in Bioinformatics, Data Science, Computational Biology, Physics, Bioengineering, Cancer Genomics, Statistics, Biochemistry, or a related discipline, accompanied by at least 2 years of applicable experience.
• Demonstrated experience working with large-scale omics datasets, preferably utilizing R or Python.
• Familiarity with next-generation sequencing (NGS) data processing, statistical modeling, and machine learning frameworks, specifically in a clinical context to extract technical and biological insights.
• Strong communication, collaboration, and problem-solving abilities, with a proven capacity to work autonomously and effectively in interdisciplinary settings.
• A history of producing meticulous and detail-oriented work.

Nice to have

• Understanding of cancer epigenetics, tumor genetics, and the molecular mechanisms involved in oncogenesis.
• Experience with both traditional machine learning and contemporary artificial intelligence techniques.
• A record of scientific contributions, such as publications, development of tools, datasets, patents, or presentations at conferences.
• Proficiency in Python or R, along with experience in modern data science workflows, including Linux, Git, and reproducible data pipelines.
• An interest in translating research findings into practical, production-ready systems.

Skills & tools

• Proficient in statistical analysis and predictive modeling using R or Python.
• Experience with NGS data processing and analysis.
• Familiarity with machine learning frameworks and their application in clinical settings.
• Strong ability to communicate complex scientific concepts clearly to diverse audiences.
• Collaborative mindset with the ability to engage with various teams across the organization.

Practical notes

This position offers a competitive annual salary range of $156,000 to $187,000, with actual compensation dependent on individual qualifications, skills, and location. In addition to the base salary, candidates may be eligible for performance-based bonuses and other incentives, as determined by company policies. Employees will also have access to GRAIL's comprehensive benefits package, which includes flexible time-off policies, a 401(k) retirement plan with employer matching, and health coverage options for medical, dental, and vision.

GRAIL is committed to fostering a diverse and inclusive workplace. We encourage applications from individuals of all backgrounds and experiences. All qualified candidates will be considered for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, age, disability, or veteran status. We also welcome applicants with arrest and conviction records, consistent with applicable laws, and provide reasonable accommodations for qualified individuals with disabilities. If you need assistance with the application process, please reach out to us at rc@grailbio.com.

At GRAIL, we maintain a drug-free workplace and are eager to welcome talented individuals who share our vision for transforming cancer detection and care.