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The Clinical Project Assistant has overall responsibility to support the study teams within Clinical Operations. This will include supporting administrative aspects of clinical trial execution and working under general supervision for routine tasks and with detailed instructions.
This position will require a candidate to have a good overall understanding of the major areas within clinical operations.
This role is based in Menlo Park, California, and will move to Sunnyvale, California in Fall 2026. It offers a flexible work arrangement, with the ability to work from GRAIL's office or from home. Our current flexible work arrangement policy requires that a minimum of 40%, or 16 hours, of your total work week be on-site. Your specific schedule, determined in collaboration with your manager, will align with team and business needs and could exceed the 40% requirement for the site. At our Menlo Park campus, Tuesdays and Thursdays are the key days where we encourage on-site presence to engage in events and on-site activities.
Maintain and perform periodic review of the Trial Master File (TMF) for completeness and accuracy
Track site payments and vendor invoices
Assist study team in tracking and reporting on key study quality metrics and in determining appropriate action in conjunction with study team
Support development of relevant tracking tools and other internal processes to increase departmental efficiency
Participating in continuous improvement initiatives
Assist with meeting coordination, meeting materials and meeting minutes.
Support other job-related duties as assigned by the Clinical Lead or designee
Bachelor’s degree in a related scientific discipline
At least 1 year of relevant experience in the pharmaceutical/biotech/medical device industry
Working knowledge of GCPs, Trial Master Files, ICH guidelines or experience working in a regulated environment
Working experience with an electronic trial master file (eTMF) system and strong database skills
Strong work ethic and demonstrated ability to deliver assignments on time
Attention to details and organizational skills
Ability to coordinate and prioritize multiple tasks
Good problem-solving skills
Strong communication skills
Positive, self-starter, flexible; ability to adapt to changing priorities
Ability to establish and maintain effective working relationships in a team environment
Ability to work collaboratively in a dynamic and fast paced environment
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GRAIL is seeking a highly motivated, self-starter Enterprise Inside Sales Representative to open doors and build new relationships with self-insured employers, life insurers, payers and first responders in an assigned territory.
You will identify companies and contacts for outreach, secure meetings with key decision-makers, and manage a robust pipeline of marketing qualified leads. You may engage with full sales-cycle management of midmarket deals in partnership with the sales team. This role will work in collaboration with the Enterprise (Employer, Health Plan, Life Insurance and first responders) and Marketing teams and report to the Inside Sales Manager.
This role is a great “foot in the door” opportunity for a career in B2B/enterprise sales.
This role is based in Menlo Park, California, and will move to Sunnyvale, California in Fall 2026. It offers a flexible work arrangement, with the ability to work from GRAIL's office or from home. Our current flexible work arrangement policy requires that a minimum of 40%, or 16 hours, of your total work week be on-site. Your specific schedule, determined in collaboration with your manager, will align with team and business needs and could exceed the 40% requirement for the site. At our Menlo Park campus, Tuesdays and Thursdays are the key days where we encourage on-site presence to engage in events and on-site activities.
The expected hourly rate for this position is expected to be $35.00/hour - $43.00 / hr.
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The Senior Statistical Scientist provides advanced statistical expertise to support research, development, and operational activities across the company. This role involves designing studies, developing analytical strategies, interpreting complex data, and ensuring the scientific rigor of statistical, computational and analytical deliverables. The successful candidate will collaborate cross functionally with lab scientists, data engineers, platform engineers, computational biologists to translate data into meaningful insights that drive evidence-based decisions.
This role is based in Menlo Park, California, and will move to Sunnyvale, California in Fall 2026. It offers a flexible work arrangement, with the ability to work from GRAIL's office or from home. Our current flexible work arrangement policy requires that a minimum of 40%, or 16 hours, of your total work week be on-site. Your specific schedule, determined in collaboration with your manager, will align with team and business needs and could exceed the 40% requirement for the site. At our Menlo Park campus, Tuesdays and Thursdays are the key days where we encourage on-site presence to engage in events and on-site activities.
Lead the statistical design, analysis, and interpretation of experiments and studies supporting assay development, validation, and product performance evaluation.
Develop and implement computational and statistical models, data analysis algorithms, and quantitative tools to support research, development, and operational projects. Conduct and communicate complex statistical analyses using appropriate methodologies such as regression, mixed models, nonparametric tests, multivariate methods, and subsampling techniques.
Partner with assay scientists and data engineers to ensure appropriate experimental design and data integrity. Provide statistical input into study protocols, reports, and regulatory submission documents.
Contribute to the development of best practices and standard operating procedures for statistical analyses. Mentor junior scientists and review statistical work to ensure technical accuracy and scientific soundness. Stay current with emerging statistical methodologies, regulatory expectations, and data science innovations.
Demonstrates success in technical proficiency, creativity, collaboration with others and independent thought. Demonstrates ability to work and communicate effectively in a multi-disciplinary study team
Advanced degree (PhD or Master’s) in Statistics, Biostatistics, Bioinformatics, Applied Mathematics, or a related quantitative field.
4+ years of post-PhD or 7+ years of post-MS applying statistical and computational methods, preferably in biotechnology, pharmaceuticals, or diagnostics settings.
Strong knowledge of statistical methodologies such as experimental design, regression, fundamental probability and statistics, Bayesian methods, and multivariate techniques.
Proficiency in statistical programming R. Python is a plus.
Experience with data visualization tools.
Excellent communication skills with the ability to translate complex statistical concepts for non-technical stakeholders.
Proven ability to lead projects independently. Strong problem-solving skills, attention to detail, and ability to manage multiple projects simultaneously.
Experience with assay development, assay performance evaluation, or regulatory submissions is a plus.
The expected, full-time, annual base pay scale for this position is $156K-$187K.
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The Director, Customer Service provides executive-level leadership for the customer service (call center) organization, establishing the strategic vision and operational direction to deliver world-class service. This role oversees multiple teams, regions, or service centers, ensuring that customer service strategies align with corporate objectives and drive customer loyalty, retention, and satisfaction. The Director partners closely with senior executives to influence business strategy and lead transformation initiatives that enhance efficiency, scalability, and customer experience.
This role is based in Menlo Park, California, and will move to Sunnyvale, California in Fall 2026. It offers a flexible work arrangement, with the ability to work from GRAIL's office or from home. Our current flexible work arrangement policy requires that a minimum of 40%, or 16 hours, of your total work week be on-site. Your specific schedule, determined in collaboration with your manager, will align with team and business needs and could exceed the 40% requirement for the site. At our Menlo Park campus, Tuesdays and Thursdays are the key days where we encourage on-site presence to engage in events and on-site activities.
Define and execute the strategic direction for the customer service organization, ensuring alignment with company goals.
Lead and oversee multiple customer service teams, regions, or business units, managing managers and senior leaders.
Develop and monitor key performance indicators (KPIs), ensuring the organization meets or exceeds customer satisfaction, quality, and operational goals.
Partner with executive leadership across functions (e.g., Sales, Operations, Finance, IT, Marketing) to create seamless customer experiences and resolve systemic issues.
Oversee departmental budgets, staffing, and resource planning to ensure efficient and cost-effective operations.
Drive innovation by implementing new tools, technologies, and service models that enhance customer support and scale with business growth.
Serve as the voice of the customer in strategic discussions, influencing company-wide initiatives and priorities.
Ensure compliance with legal, regulatory, and quality standards across all service operations.
Develop and mentor senior leaders, building a strong pipeline of leadership talent within the customer service function.
Represent the company at customer meetings, industry events, and with key stakeholders to reinforce the organization’s commitment to service excellence.
These responsibilities summarize the role’s primary responsibilities and are not an exhaustive list. They may change at the company’s discretion.
Adaptability and Growth Expectation
As our organization continues to evolve and grow, this role may require flexibility in responsibilities and duties. Employees should expect that their role may expand, shift, or be modified to meet changing business needs, strategic priorities, and organizational objectives.
This may include:
Taking on additional responsibilities.
Participating in cross functional projects and initiatives.
Adapting to new technologies, processes, or methodologies.
Supporting other departments or teams during periods of high demand.
Contributing to special projects or temporary assignments as needed.
Bachelor’s degree in Business, Communications, or a related field required; Master’s degree strongly preferred.
12+ years of relevant customer service experience, including 5+ years in leadership roles managing large, complex organizations OR candidates with 7+ years of related experience and must have GRAIL experience eligible for consideration.
Exceptional leadership and organizational management skills, with the ability to lead leaders and drive alignment across multiple functions.
Strategic thinker with proven ability to design and implement customer service strategies that deliver measurable results.
Ability to travel 20% as required.
15+ years of relevant customer service (call center experience), including 8+ years in leadership roles managing large, complex organizations.
Demonstrated level of knowledge regarding applicable regulatory standards commensurate with the position's complexity and scope, contributing to organizational regulatory compliance. Minimal applicable standards for this position include:
Clinical laboratory regulations (e.g. CAP, CLIA, NYSDOH, ISO 15189)
Protected health information (e.g. HIPAA, GDPR)
Strong financial and business acumen, with experience managing large budgets and driving operational efficiency.
Expertise in customer service operations, including contact center management, customer experience strategy, and process optimization.
Excellent communication and influencing skills to engage effectively with executives, employees, and external stakeholders.
Proven track record of leading large-scale transformation, change management, and technology adoption initiatives.
Strong commitment to customer advocacy and delivering outstanding customer experiences.
Working Conditions
Office-based environment with flexibility for hybrid or remote work depending on business needs.
Extended work hours may be required to address critical issues, strategic initiatives, or global operations.
Frequent interaction with executive leadership, senior stakeholders, and external partners.
Regular travel may be required to company sites, customer locations, and industry events.
Hours and days may vary depending on operational needs.
Standing or sitting for long periods of time may be necessary.
May be exposed to hazardous materials, blood specimens and instruments with moving parts, heating or freezing elements, and high speed centrifugation.
Some lifting (up to 25 pounds) may be necessary
Ability to travel 20% as required
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GRAIL is seeking a Staff Site Reliability / DevOps Engineer to lead the reliability, scalability, and security of our cloud-native platform. This role operates at the intersection of infrastructure engineering, platform strategy, and organizational leadership, supporting systems that power large-scale data processing and cutting-edge cancer detection technologies.
You will define and drive infrastructure standards across teams, represent reliability and performance in architecture decisions, and build systems that scale well beyond your direct ownership. This is a highly technical, high-impact role combining hands-on engineering with cross-functional influence and mentorship.
Onsite Expectations You will work on-site full-time at our office located in Menlo Park, California. Beginning in Fall 2026, you will work at our new headquarters in Sunnyvale, California.
These responsibilities summarize the role’s primary responsibilities and are not an exhaustive list. They may change at the company’s discretion.
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The Senior Compensation & Benefits Analyst provides advanced analytical, technical, and consultative support for the organization’s compensation and benefits programs. This role applies professional expertise to conduct complex analyses, interpret market and internal data, evaluate program effectiveness, and support the development and refinement of Total Rewards strategies. The Senior Analyst works with significant independence, providing insights to HR and business leaders, contributing to compensation and benefits planning cycles, and advising on program administration and policy interpretation. The role supports the company’s ability to maintain competitive, equitable, and compliant Total Rewards programs through high-level analytical contributions and cross-functional collaboration.
This is a high-impact individual contributor role that is ideal for a Total Rewards professional who thrives in hands-on work.
You will work on-site full-time (5-days a week) at our office located in Menlo Park/Sunnyvale, CA.
Lead advanced analyses of compensation, benefits, and workforce data to support program evaluation, individual analysis, budgeting, and strategic decision-making.
Respond to and resolve Tier 1 Workday HelpDesk tickets related to Compensation & Benefits, escalating issues when necessary.
Collaborate in managing relationships with insurance carriers and benefits brokers to ensure the correct administration of benefits programs.
Perform audits of Benefits enrollment data across Workday, vendor, and payroll systems to ensure accuracy and data consistency.
Process payroll-related entries for LOA, Workers' Compensation, and assist with bi-weekly payroll preparation and audit requests.
Assist in the annual planning, testing, employee communications, execution, and reporting of Compensation Planning and Open Enrollment in Workday, providing support to employees during the process and ensuring data accuracy.
Maintain plan documentation and internal resources.
Help ensure compliance with federal, state and local regulations.
Prepare and analyze benefits utilization, cost trends, and participation metrics to support program assessments and recommendations.
Oversee compensation and benefits survey submissions by ensuring accurate job matching, data integrity, and alignment with market practices.
Develop and enhance recurring and ad-hoc reports, dashboards, and models that inform compensation and benefits program decisions.
Conduct market benchmarking and internal equity assessments to support pay recommendations and program adjustments.
Interpret compensation and benefits policies and provide guidance to HR partners and managers on program administration and requirements.
Support compliance activities by preparing documentation, analyzing data for regulatory reporting, and participating in audit reviews.
Contribute to the design, testing, and implementation of enhancements to compensation and benefits processes, tools, and procedures.
Bachelor’s degree in Human Resources, Business Administration, Finance, Data Analytics, or related field.
5+ years of relevant work experience in compensation, benefits, HR analytics, or related functions; OR Master’s degree with 2+ years of relevant experience.
Advanced analytical skills with ability to model compensation scenarios, interpret large data sets, and generate actionable insights.
Strong understanding of compensation design principles, salary structures, incentive plans, and benefits programs.
Knowledge of human resources principles and practices, including federal and state employment laws and regulations related to employee benefits, leave of absence, and total rewards programs.
Advanced proficiency in Microsoft Excel (pivot tables, VLOOKUPs, formulas, modeling) and experience with HRIS, compensation, and reporting systems (e.g., Workday, SAP, Oracle, or similar), Google Workspace
Strong project management and organizational skills with ability to handle multiple priorities in a deadline-driven environment.
Excellent written and verbal communication skills, including the ability to translate complex data into clear and compelling narratives.
Collaborative working style with strong relationship-building skills across HR, Finance, and business teams.
Strong commitment to confidentiality, high level of integrity, discretion, and sound judgement and professionalism when managing sensitive HR and employee data.
Continuous improvement mindset with ability to identify and implement operational enhancements.
Standard office environment with frequent use of HR systems, data analysis tools, and Google Workspace applications.
Regular collaboration with HR, Finance/Accounts Payable, Legal, and business stakeholders, as well as external vendors and consultants.
May require extended hours during compensation planning, open enrollment, or year-end cycles.
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GRAIL is seeking a Senior Data Scientist to join the Machine Learning team within the Computational Biology and Machine Learning (CBML) group. In this role, you will work at the intersection of machine learning, genomics, and clinical science to advance early cancer detection. You will collaborate closely with scientists, engineers, and clinicians to identify novel biological signals, improve classification performance, and develop innovative approaches for cancer detection and categorization using GRAIL’s rich sequencing datasets.
This is a highly impactful role where you will apply state-of-the-art machine learning techniques—including modern AI approaches—to real-world clinical challenges. Your work will directly contribute to scientific discoveries, peer-reviewed publications, and the development of transformative products for early cancer detection.
This is a hybrid role based in Menlo Park, CA (moving to Sunnyvale, CA in Fall 2026). Our current flexible work arrangement policy requires that a minimum of 40%, or 16 hours, of your total work week be on-site. Your specific schedule, determined in collaboration with your manager, will align with team and business needs and could exceed the 40% requirement for the site.
Envision, design, and lead projects to evaluate and improve machine learning classifier performance for cancer detection
Collaborate cross-functionally with scientists, engineers, and clinicians to plan, execute, and interpret experiments
Develop high-quality, reproducible, and scalable software aligned with sound engineering principles
Apply best practices in machine learning and statistics to generate robust, interpretable, and reliable results
Analyze large-scale sequencing and genomics datasets to extract meaningful biological insights
Contribute to the development and evaluation of novel machine learning methods, including deep learning approaches
Communicate findings and present updates regularly in technical and cross-functional forums
Contribute to scientific publications, internal tools, and production systems
These responsibilities summarize the role’s primary responsibilities and are not an exhaustive list. They may change at the company’s discretion.
Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, Machine Learning, or a related field with 2+ years of relevant experience, OR
M.S. with 4+ years of relevant experience, OR
B.S. with 6+ years of relevant experience, or equivalent practical experience
2+ years of experience applying machine learning or statistical modeling in a research or production environment
Strong expertise in data analysis using Python or R
Deep understanding of modern machine learning and statistical methods
Experience developing reproducible, well-structured code in a collaborative environment
Strong written and verbal communication skills
Experience with modern AI techniques, including deep learning and/or large language model (LLM) training or adaptation
Experience working with sequencing or genomics data and deriving biological insights
Track record of scientific contributions (e.g., publications, tools, datasets, patents, or conference presentations)
Experience with system-level programming languages (e.g., Go, Java, C, C++)
Familiarity with version control (e.g., Git) and reproducible research practices in Linux environments
Demonstrated ability to independently drive projects while collaborating effectively across teams
Interest in translating research innovations into production-ready systems
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GRAIL’s Research department is seeking a Staff Data Engineer to lead the design, development, and evolution of data systems that power GRAIL’s product pipeline, from sample collection through processing, analysis, and regulatory submission. This role operates at the intersection of computational science, engineering, and clinical research, enabling high-impact decision-making across the organization.
The Staff Data Engineer is a technical leader who partners with scientists, statisticians, and engineering teams to shape system architecture and deliver robust, analysis-ready datasets. This individual operates with a high degree of autonomy, tackling complex and ambiguous challenges, and influencing cross-functional teams to align on data standards, best practices, and long-term solutions.
They will develop deep expertise in GRAIL’s end-to-end data lifecycle, including EDC, LIMS, Bioinformatics Pipelines, and TidyData, an internally-developed system that aggregates and serves combined datasets. They will lead efforts to improve interoperability, scalability, and data quality across these systems.
The Staff Data Engineer will also collaborate with software engineers and scientists to develop dataset requirements, develop code and procedures to support dataset generation, perform QC, and troubleshoot issues that arise. As needed, the Staff Data Engineer will also contribute to new reporting, data visualization, and statistical analysis features.
Own and drive large, complex data initiatives that impact multiple teams and stages of the product pipeline
Define and evolve data architecture, standards, and best practices across systems
Influence technical direction and strategy for data engineering within Research and partner organizations
Act as a subject matter expert and technical leader, guiding others and elevating team capabilities
Solve ambiguous, high-impact problems requiring deep technical judgment and cross-domain understanding
Collaborate with data scientists, biostatisticians, and clinical teams to deliver data solutions and sample selections that support clinical trial and research analysis goals
Translate complex scientific and analytical requirements into robust, reusable data solutions
Contribute to data quality frameworks, including standards for validation, reconciliation, and observability across datasets
Drive self-service data platform strategy, implementation and tooling, adoption through training and documentation
Lead efforts to standardize and improve dataset generation, QC, and reporting workflows
Evaluate and introduce new technologies, methodologies, and best practices to improve data management in a regulated biotechnology environment
Mentor other engineers and contribute to technical leadership, standards, and best practices across the organization
These responsibilities summarize the role’s primary responsibilities and are not an exhaustive list. They may change at the company’s discretion
BS with 8+ years, MS with 5+ years, or PhD with 3+ years of experience in a computational or scientific field (life science, computer science, engineering, mathematics, statistics, bioinformatics, etc.)
Advanced proficiency in Python or R, with strong software engineering fundamentals
Demonstrated experience designing end-to-end data systems and architectures — from ingestion and transformation to orchestration and visualization
Deep understanding of data modeling, pipelines, orchestration, and data quality practices
Proven ability to lead complex, cross-functional projects with significant business or scientific impact
Strong communication skills, with the ability to influence technical and non-technical stakeholders
Experience operating with high autonomy in ambiguous problem spaces
Experience with distributed systems or system-level programming (Go, Java, C++)
Familiarity with bioinformatics, clinical data systems, or molecular biology concepts
Experience with cloud platforms (AWS) and modern data infrastructure
Experience driving technical strategy, standards, or platform adoption
Intermediate experience with AI-assisted development workflows
Strong SQL and data warehousing expertise
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