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GRAIL

Principal Clinical Research Scientist # 4365

Posted 3 Days Ago
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Hybrid
Menlo Park, CA
187K-249K
Senior level
Hybrid
Menlo Park, CA
187K-249K
Senior level
The Principal Clinical Scientist will design, implement, and analyze clinical studies, collaborating with cross-functional teams to support cancer detection technologies.
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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 Menlo Park, 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 Principal Clinical Scientist is responsible for design, implementation and analysis of clinical evidence generation studies, empowering the clinical organization to execute on study objectives. This role supports the development and implementation of clinical development strategies at GRAIL. This role will interact with cross-functional teams, including colleagues from Clinical Operations, Biostatistics, Clinical Data Management, Medical Affairs, Regulatory Affairs, Research and others.

Responsibilities:

  • Collaborate with key functional stakeholders on the design, conduct and analysis of clinical studies conducted with GRAIL’s academic, community, and industry partners
  • Design and implement systematic approaches to review, clean, analyze and integrate large and complex clinical datasets from one or more large clinical studies
  • Provide regular and ad-hoc data reviews and interpretation of clinical data; prepare and present summaries/documentations of these reviews to share with cross-functional teams
  • Participate in data quality review activities and efforts to resolve data quality issues.
  • Support efforts to advance the clinical development and scientific plans (review and interpretation of study data; engagement of key opinion leaders; providing strategic and scientific input to study-level and program-level teams)
  • Contribute to development of data collection forms and data/metadata standards to support clinical studies and pooled data analyses
  • Collaborate with colleagues from Biostatistics to develop statistical analysis plans and serve as a co-author on clinical study reports and other study deliverables
  • Represent Clinical Science as a strategic thought leader on cross-functional project teams with goals of building and deploying systematic approaches for data review, cleaning and analyses
  • Contribute to methods to ensure data integrity and quality throughout the product development lifecycle, ensuring appropriate blinding and data privacy standards are followed.
  • Develop electronic case report forms and other clinical data capture methods for clinical data acquisition and study subject follow-up
  • Contribute to study reports, presentations, and publications of studies
  • Conduct literature reviews and/or obtain external data (e.g., SEER, US Census)  as needed to inform or interpret GRAIL study results or statistical models.
  • Develop formal networks with external investigators and thought leaders to support clinical study programs
  • Ensure compliance with industry regulations, policies, guidelines and standards

Preferred Qualifications:

  • Advanced clinical/scientific degree (e.g. PharmD, PhD, MSN, MPH)with at least 5 years of oncology clinical and/or population science research experience
  • Minimum 5 years of experience working in industry, including deep experience in cancer epidemiology, especially as it relates to screening and early detection
  • Experience with SEER or other population-based cancer registry data
  • Experience in designing and conducting clinical and/or real-world evidence studies, particularly registrational and/or clinical utility studies for reimbursement
  • Strong track record in data management and integrating complex, large-scale datasets.
  • Knowledge of regulatory requirements (e.g. ICH, GCP, HIPAA)
  • Demonstrated ability to initiate and maintain effective relationships with internal and external collaborators
  • Excellent interpersonal communication (written and verbal), presentation and organizational skills
  • Excellent team player with demonstrated track record of success in a fast-pace cross-functional team environment
  • Consistent commitment to delivering on team goals with a sense of shared purpose

Expected full time annual base pay scale for this position is $187K - $249K. Actual base pay will consider skills, experience and location.

Based on the role, colleagues may be eligible to participate in an annual bonus plan tied to company and individual performance, or an incentive plan. We also offer a long-term incentive plan to align company and colleague success over time.

In addition, GRAIL offers a progressive benefit package, including flexible time-off, a 401k with a company match, and alongside our medical, dental, vision plans, carefully selected mindfulness offerings.

GRAIL is an Equal Employment 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. GRAIL maintains a drug-free workplace.

Top Skills

Biostatistics
Clinical Datasets
Data Management
Next-Generation Sequencing
Statistical Analysis

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