GRAIL Logo

GRAIL

Senior Scientist, Operations Investigation Team (OIT) #4936

Posted 5 Days Ago
Be an Early Applicant
Hybrid
Durham, NC
122K-147K Annually
Senior level
Hybrid
Durham, NC
122K-147K Annually
Senior level
Investigate platform and assay performance issues through experimental design, data analysis, root-cause investigation, troubleshooting, and process optimization. Develop technical solutions to improve reliability and efficiency, communicate findings through reports and presentations, and collaborate with R&D, Operations, Engineering, Quality, Manufacturing, and Data Science teams. Ensure laboratory safety and regulatory compliance while supporting continuous improvement in a regulated biotech environment.
The summary above was generated by AI
Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care.
 
We are a healthcare company, pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine’s greatest challenges.
 
GRAIL is headquartered in the bay area of California, 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 grail.com

The Senior Scientist is an experienced scientific individual contributor responsible for investigating platform and assay performance issues, identifying root causes, and developing technical solutions to improve platform reliability and operational performance. As a member of the Operations Investigation Team (OIT), this role independently conducts scientific investigations, collaborates across functions, and drives continuous improvement through data-driven problem solving and process optimization.

This position works on-site full-time, 5 days/week at our office located in Durham, NC

Responsibilities:

  • Independently design, plan, and execute experiments to investigate platform performance issues and support troubleshooting efforts.
  • Analyze experimental data, identify root causes, and develop scientifically sound recommendations.
  • Develop, optimize, and troubleshoot experimental methods, workflows, and analytical tools to improve platform robustness, reliability, and efficiency.
  • Investigate sources of technical variability and recommend corrective and preventive actions.
  • Prepare technical reports, presentations, and investigation summaries to communicate findings and recommendations.
  • Collaborate with cross-functional teams, including R&D, Operations, Engineering, Quality, Manufacturing, and Data Science, to resolve platform-related issues.
  • Provide technical expertise in experimental design, troubleshooting strategies, and data interpretation.
  • Contribute to the development of new technologies, analytical tools, and process improvements that enhance platform performance.
  • Ensure compliance with laboratory safety, quality, and applicable regulatory standards.
  • These responsibilities summarize the role’s primary responsibilities and are not an exhaustive list. They may change at the company’s discretion.
  •  

Required Qualifications:

    • Ph.D. in Molecular Biology, Biochemistry, Biotechnology, or a related scientific discipline with 2+ years of relevant experience; OR Master's degree with 5+ years of relevant experience; OR Bachelor's degree with 8+ years of relevant experience.
    • Strong expertise in molecular biology, NGS technologies, assay development, or related experimental disciplines.
    • Experience with laboratory or biotech automation platforms (e.g., liquid handlers, robotic workcells, automated sample-processing systems) is highly desirable.
    • Proven experience independently designing and executing experiments and solving complex technical problems.
    • Demonstrated experience conducting root-cause investigations and developing practical technical solutions.
    • Strong scientific communication and technical presentation skills.
    • Experience working in regulated laboratory environments is preferred.

Preferred Qualifications:

    • Advanced troubleshooting, analytical, and root-cause investigation skills.
    • Strong experimental design and data interpretation capabilities.
    • Ability to manage multiple investigations and priorities in a fast-paced environment.
    • Strong collaboration and communication skills with cross-functional teams.
    • Innovative, self-motivated, and results-oriented with a continuous improvement mindset.

Physical Demands and Environment:

    • Work may be performed in laboratory and office environments with exposure to biological samples, chemicals, and laboratory equipment.
    • Requires appropriate personal protective equipment (PPE).
    • May require extended hours to support critical investigations.
    • Regular laboratory activities, including pipetting and operation of laboratory instrumentation.

The expected, full-time, annual base pay scale for this position is $122,000 - $147,000. Actual base pay will consider skills, experience, and location.

This role may be eligible for other forms of compensation, including an annual bonus and/or incentives, subject to the terms of the applicable plans and Company discretion. This range reflects a good-faith estimate of the range that the Company reasonably expects to pay for the position upon hire; the actual compensation offered may vary depending on factors such as the candidate’s qualifications. Employees in this role are also eligible for GRAIL’s comprehensive and competitive benefits package, offered in accordance with our applicable plans and policies. This package currently includes flexible time-off or vacation; a 401(k) retirement plan with employer match; medical, dental, and vision coverage; and carefully selected mindfulness programs.

GRAIL is an equal employment opportunity employer, and we are committed to building a workplace where every individual can thrive, contribute, and grow. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, disability, status as a protected veteran, , or any other class or characteristic protected by applicable federal, state, and local laws. Additionally, GRAIL will consider for employment qualified applicants with arrest and conviction records in a manner consistent with applicable law and provide reasonable accommodations to qualified individuals with disabilities. Please contact us at [email protected] if you require an accommodation to apply for an open position.

GRAIL maintains a drug-free workplace. We welcome job-seekers from all backgrounds to join us!

HQ

GRAIL Sunnyvale, California, USA Office

GRAIL is headquartered in Sunnyvale, California, with locations in Washington, D.C., North Carolina, and the United Kingdom. We also have a number of employees who are working remotely. Our bay area office has a employees working in our labs, software engineering, clinical development and more.

Similar Jobs at GRAIL

82K-102K Annually
Mid level
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech
The Equipment Engineer 2 supports the installation, optimization, and maintenance of manufacturing equipment, improving performance and compliance through engineering analysis and collaboration with cross-functional teams.
Top Skills: Automated Manufacturing SystemsCapCliaClinical Laboratory RegulationsControl SystemsFda 21 CfrGmp Quality Management SystemsIso 13485Iso 15189Next-Generation SequencingProcess Instrumentation
2 Days Ago
Hybrid
59K-72K Annually
Junior
59K-72K Annually
Junior
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech
Support billing receivables and reimbursement analysis by compiling and reconciling data, producing recurring and ad-hoc reports, migrating dashboards, tracking revenue-cycle KPIs, and working cross-functionally to resolve billing discrepancies and improve revenue recognition.
Top Skills: BusinessobjectsGoogle SheetsExcelPower BITableau
2 Days Ago
Hybrid
86K-106K Annually
Senior level
86K-106K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech
Design, build, and maintain BI-ready datasets, dashboards, and monitoring tools for high-throughput lab operations. Implement process monitoring (SPC), ensure data quality and audit readiness, perform root-cause analysis, and partner with Data Science to deploy predictive models that improve throughput, quality, and compliance.
Top Skills: Amazon RedshiftAws GlueCoupaJmpManaged AirflowMinitabNetSuitePythonRS3SalesforceSnowflakeSQLTableauWorkday

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account