GRAIL is seeking a Data Engineer with a focus on Clinical Pipeline. In this role, you will use your experience working with clinical data to help grow our ability to transform raw data into meaningful insights while maintaining data integrity and protecting data usage. You will partner with clinical, biostatistics, data science, and engineering functions to co-develop data solutions for the GRAIL product pipeline, as well as help establish internal data models to support the variety of data needs of the Research and Development organization.
This is a hybrid role and requires you to be onsite at least 2 days a week in Menlo Park, CA.
The estimated contract length for this role is 6 months with the possibility to extend or convert, given current performance and hiring climate.
RESPONSIBILITIES
- Define and develop data asset creation workflows for clinical study data, from data pre-processing and automation through data dissemination.
- Provide technical support in developing and managing interactive data visualization and analytics tools for reporting and trending.
- Play a key role in understanding user requirements, implementing systems, and authoring procedures related to system use.
- Identify new technologies, concepts, and methodologies to address complex and evolving needs of study teams and other data consumers.
- Maintain data integrity and quality throughout the data lifecycle, including ensuring clinical study-related blinding where appropriate.
- Generate and maintain metadata and data navigation tools as required by various internal and external stakeholders including FDA.
PREFERRED QUALIFICATIONS
- BS/MS in a quantitative scientific field (computer science, engineering, mathematics, statistics, bioinformatics, etc.) with 3+ years of experience.
- Proficiency with R or Python programming and at least one system-level programming language like Go, Java, or C++.
- Strongly desirable experience with CDISC, SDTM, and ADaM compliant data sets.
- Experience with SQL development and data warehousing concepts (e.g., ETL/ELT).
- Demonstrated experience with real-time data visualization and analytics tools.
- Knowledge of applicable regulatory rules and guidelines, e.g., ICH, GCP, HIPAA.
- Excellent interpersonal communication skills and a demonstrated track record of success in a cross-functional team environment.
HIGHLY DESIRED QUALIFICATIONS
- Experience with AWS
- Familiarity with Apache Airflow and DBT tools.
- Experience with next-generation sequencing data.
SUCCESS FACTORS
- Embrace Change: This role requires a continuous adaptation to new technologies and industry standards to enhance our data processing and analytics capabilities.
- Solve Problems Together: Collaborating effectively across various teams is crucial to develop integrated data solutions that support GRAIL's goals.
- Think BIG: Aiming to significantly impact GRAIL's mission through innovative data management and analysis methods.
The estimated contract length for this role is 6 months with the possibility to extend or convert, given current performance and hiring climate.
The average hourly rate for this position will range from $80 to $110 per hour, depending on overall fit for the role.
What the Team is Saying
What We Do
GRAIL is a healthcare company whose mission is to detect cancer early, when it can be cured. GRAIL is using the power of high-intensity 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 and commercialize pioneering products
Why Work With Us
Everything we do is guided by our mission to detect cancer early, when it can be cured. It’s the reason we’re here, and it’s no small task.
The right people make all the difference. That’s why we’re looking for those who strive to share their knowledge, contribute their skills, inspire each other and commit to something bigger than themselves.
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GRAIL Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
GRAIL has a variety of work types depending on the roles. Some are onsite like a lab role, others are hybrid and still others are remote.
