Process Monitoring Data Scientist
GRAIL is a healthcare company whose mission is to detect cancer early, when it can be cured. GRAIL is focused on alleviating the global burden of cancer by developing pioneering technology to detect and identify multiple deadly cancer types early. The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test. GRAIL is headquartered in Menlo Park, CA with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies. For more information, please visit www.grail.com.
In this role, you will play a critical role in amplifying the signal present in the noise of information generated by day-to-day operations. The varied nature of this role requires excellent communication skills and the ability to easily translate information between functional groups within the organization. Working closely with different stakeholders, you will coach and collaborate with various teams on effective data entry processes and monitor both inputs and outputs for the pipelines they generate. The insights you generate will help drive the informed decision making process and ensure GRAIL’s robust products continue to detect cancer early.
You Will:
- Process, analyze, and present customer service, sample processing, engineering, and many other sources of data
- Create and perform end-to-end analyses that include: design, data gathering, processing, analysis, iteration with stakeholders, and presentation of results
- Work closely with the Lab Operations teams to generate useful metrics for monitoring efficacy and preventing failures before they occur
- Assist in the preparation of presentation materials for Process Monitoring meetings where analyses and graphs are presented to various stakeholders
- Interact cross-functionally with other teams including software, operations, research, and product development
Your Background Should Include:
- BSc with 4 years of relevant experience, MSc with 2 years of relevant experience, or PhD in Computer Science, Bioinformatics, Statistics, Biology, or equivalent. Job Title/Level will be based on education and relevant experience
- Understanding of project management terminology and Lean Six-Sigma methodologies is strongly preferred
- Effective written and verbal communication skills
- Strong knowledge in at least one major programming language (e.g. Python, Go, C++, R, Java) and proficiency in a Linux environment, version control tools, and reproducible research practices
- Technical leadership, self-direction, and willingness to both teach others and learn new techniques is highly desirable
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.