GRAIL

GRAIL is a healthcare company whose mission is to detect cancer early, when it can be cured.

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Staff Data Engineer (San Diego) #3378

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Employer Provided Salary: 180,000-202,000 Annually

Are you a champion of automation interested in using your talents for optimizing processes that will make an impact on the fight against cancer? If so, join GRAIL on the Data Integration team in Research!

GRAIL is seeking a Staff Data Engineer to join our team to support the growing data needs of GRAIL’s clinical and research activities. You will leverage your expertise in automation and data engineering to ensure our scientific teams have the data they need to succeed. This role is pivotal in advancing GRAIL's mission by enhancing our data infrastructure and contributing to our early cancer detection efforts.

RESPONSIBILITIES

Be a part of a highly collaborative team that focuses on delivering value to cross-functional partners by designing, deploying, and automating secure, efficient, and scalable data infrastructure and tools, reducing manual efforts and streamlining operations.
Drive the design, deployment, and automated delivery of data infrastructure, standardized data models, datasets, and tools.
Integrate automated testing and release processes to improve the quality and velocity of software and data deliveries.
Collaborate with cross-functional teams, from Research to Clinical Lab Operations to Software Engineering to provide comprehensive data solutions from conception to delivery.
Ensure all software and data meet high standards for quality, clinical compliance, and privacy.
Mentor fellow engineers and scientists, promoting best practices in software and data engineering.

PREFERRED EXPERIENCE

B.S. / B.A. in a quantitative field (e.g., Computer Science, Engineering, Mathematics, Physics, Computational Biology) with 8+ years of related industry experience, M.S. with 5+ years of related industry experience, Ph.D. with 2+ years of related industry experience or equivalent.
Extensive experience with relational databases, data modeling principles, data pipeline tools and workflow engines (e.g., SQL, DBT, Apache Airflow, AWS GLUE, Spark.
Extensive experience with DevOps practices, including CI/CD pipelines, containerized deployment (e.g., Kubernetes), and infrastructure-as-code (e.g., Terraform).
Experience in developing data pipelines using scalable cloud-based data warehouses / data lakes on AWS, Azure, or GCP.
Solid programming skills in object-oriented and/or functional programming paradigms.
Ability to embrace uncertainty, navigate ambiguity, and collaborate with product teams and stakeholders to refine requirements and drive towards clear engineering objectives and designs.
A commitment to constructive dialogue, both in giving and receiving critical feedback, to foster an environment of continuous improvement.

HIGHLY WELCOME EXPERIENCE

Experience working in a regulated environment (e.g., FDA, CLIA, GDPR).
Proficiency in Python, and R.
Experience building microservices and web applications.
Experience with supporting data science / machine learning data pipelines.
Prior industry experience at a healthcare, biotech, or life sciences industry.

The estimated, full-time, annual base pay scale for this position is $180,000 - $202,000. Actual base pay will consider skills, experience, and location.

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Joerg Bredno

Principal Scientist, Computational Biology and Interpretation

WIDEN YOUR SCOPE

A huge data set with an even bigger impact

“Cancer is a nasty, diverse disease that can affect widely different regions in the genome,” Principal Scientist Joerg Bredno said, and understanding how and why cells change isn’t easy. Luckily, his team works with more than 12 petabytes of molecular data — which translates to more than 1 million gigabytes — and a high-performance scientific computing environment that can handle analysis at that scale. With these tools, Bredno’s team is building an even larger training data set for the next generation of GRAIL’s early detection, multi-cancer screening test, slated to roll out this year.

It is rewarding that we can see, learn and share relevant insights from our data that so far doesn't exist anywhere else in the world in this form.

Ting Ma

Associate Director, Data Engineering

ACCELERATE TOGETHER

A team united by passion, fueled by collaboration

GRAIL’s team sets lofty goals for its products, which require the unique talents and perspectives of every employee. Take one eight-month study that Associate Director Ting Ma worked on, parsing data from a GRAIL-sponsored clinical trial. Due to the volume of data, teamwork was imperative to define and implement clinical features, refine codes with robust test cases and tweak them as continuous feedback rolled in. The work is important, but that's not the only plus: “Cross-functional team collaboration is fun,” Ma said. “You get to learn so much while contributing to each project.”

GRAIL is taking on a challenge that is unprecedented. It can only become successful when people with different expertise collaborate deeply.

Ying Luan

Associate Biostatistical Director

UNCOVER NEW OPPORTUNITIES

Sharp talent, perpetually looking to learn more

There’s a reason top talent, like Associate Biostatistical Director Ying Luan, joins GRAIL. “Here, I knew I could have the opportunity to contribute to the development of innovative analysis methodologies,” Luan said. She’s now working on a diagnostic aid project, planning and designing validation for clinical studies. It’s a new area for her, but there’s plenty of support for learning new skills at the company: With resources like LinkedIn Learning, workshops and conferences, she finds footing in the field, while diversity and inclusion trainings connect her fully to GRAIL’s culture.

Post-launch activities and payer’s reimbursement were new to me when I joined GRAIL. But now, I’m learning new things on a daily basis with different stakeholders in mind.

What are GRAIL Perks + Benefits

GRAIL Benefits Overview

We’re committed to creating the best experience for everyone at GRAIL, ensuring that each member of our team has comprehensive benefits and resources to thrive at all stages of life, both at work and at home.

Culture

Volunteer in local community

We parter with Bay Area local partners such as Life Science Cares to help meet basic needs in the community.

Partners with nonprofits

GRAIL partners with The Honor Foundation to facilitate mock interviews to help military professionals transition to civilian life. Also oSTEM and The National Sales Network to identify diverse talent.

Open door policy

OKR operational model

Team based strategic planning

Open office floor plan

Employee resource groups

Employee-led culture committees

Hybrid work model

In-person all-hands meetings

Employee awards

Flexible work schedule

Remote work program

Diversity

Dedicated diversity and inclusion staff

Mandated unconscious bias training

Unconscious bias training is included as part of our standard interview training. We also have a formal training on the topic of unconscious bias that is facilitated by the People Team.

Diversity manifesto

Mean gender pay gap below 10%

Diversity employee resource groups

GRAIL proudly offers 4 employee resources groups led by team members in tandem with an executive sponsor. They include: ASERG, WERG, PRIDE, and BIPOCC.

Hiring practices that promote diversity

GRAIL's Talent team has partnered with a variety of non-profits, associations and job boards including WITI, oSTEM, THF, DiversityJobs and The National Sales Network to identify diverse talent.

Health Insurance + Wellness

Flexible Spending Account (FSA)

Disability insurance

Dental insurance

Vision insurance

Health insurance

Life insurance

Wellness programs

Team workouts

Mental health benefits

Abortion travel benefits

Financial & Retirement