Bioinformatics and Data Engineer (BXDE)

GRAIL is a healthcare company whose mission is to detect cancer early, when it can be cured. GRAIL is focused on alleviating the global burden of cancer by developing pioneering technology to detect and identify multiple deadly cancer types early. The company is using the power of next-generation 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 its multi-cancer early detection blood test. GRAIL is headquartered in Menlo Park, CA with locations in Washington, D.C., North Carolina, and the United Kingdom. GRAIL, LLC is a wholly-owned subsidiary of Illumina, Inc. (NASDAQ:ILMN). For more information, please visit www.grail.com.

The Data Engineering group, under the Data Science and Biostatistics organization, is looking to hire an experienced Bioinformatics and Data Engineer (BXDE) to help grow our ability to transform raw data into meaningful insights while maintaining data integrity and protecting data usage.

The BXDE will apply good clinical practice and good software development practice to develop code for clinical features and other derived variables in support of GRAIL clinical research and GRAIL product development. These features and variables are used extensively in reporting, exploratory analysis, classifier development, and clinical study read-outs such as summary tables, figures, and listings. Additionally, the BXDE will have opportunities to apply statistical analysis and/or machine learning techniques to help identify patterns and discover insights in complex clinical study data.

Tasks and responsibilities:
> - Define and develop data asset creation workflows for clinical study data, from data pre-processing and automation through data dissemination.
> - Assist 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.
> - Maintain data integrity and quality throughout the data lifecycle, including ensuring clinical study-related blinding where appropriate.

Preferred background:
> - BS or MS in quantitative scientific fields (computer science, engineering, mathematics, statistics, bioinformatics, etc.) or biological degree with additional training in programming/software development.
> - A minimum 2-year experience with R or Python programming.
> - Experience with CDISC data models is a plus.
> - Experience with Amazon Web Services is a plus.
> - Experience with multi-functional collaboration while ensuring data quality and commitment to analysis reproducibility.
> - Experience with data visualization and analytics tools!
> - Excellent interpersonal communication (written and verbal) and interpersonal skills.
> - Consistent dedication to delivering on team goals with a sense of shared urgency!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Please contact us to request an accommodation. We offer excellent employee benefits at par with the industry.
GRAIL is an Equal Employment Office and Affirmative Action 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.

Following extensive monitoring, research, consideration of business implications, and advice from internal and external experts, GRAIL has made the decision to require all U.S. employees receive the COVID-19 vaccines as a condition of employment. “Full vaccination” is defined as two weeks after both doses of a two-dose vaccine or two weeks since a single-dose vaccine has been administered. Anyone unable to be vaccinated, either because of a sincerely held religious belief or a medical condition or disability that prevents them from being vaccinated, can request a reasonable accommodation.