Bioinformatics Data Engineer / Programmer (Contract)

Menlo Park, CA, United States
Feb 14, 2021
Biotech Bay
Required Education
Bachelors Degree
Position Type
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. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies. For more information, please visit

The Data Engineering group, within the Data Science and Biostatistics organization, is looking to hire a Bioinformatics Data Engineer (BDE) to partner with computational, engineering and clinical study teams in developing data solutions for the GRAIL product pipeline.

The BDE will apply clinical programming to develop code for clinical features and other derived variables in support of GRAIL clinical research. 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 BDE will have opportunities to apply statistical analysis and/or machine learning techniques to help identify patterns and discover insights in complex clinical study data.

You Will:

• Contribute to derived clinical feature workflows for clinical study data, working from raw data extracts, through data dissemination with a strong focus on automation and data QC.
• Assist in developing and managing interactive data visualization and analytics tools for reporting.
• 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.

Your Background Includes:

• BS or MS in quantitative scientific fields (computer science, engineering, mathematics, statistics, bioinformatics, etc.).
• Experience with R or Python programming.
• Experience with CDISC data models is a plus.
• Experience with Amazon Web Services is a plus.
• Experience with cross-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 organizational skills.
• Excellent team player with a demonstrated track record of success in a cross-functional team environment.
• Consistent commitment 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.