C Programming, C++, Cloud computing, Data science techniques, Java Programming, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
In this role, you will lead analyzing some of the largest, richest biological datasets in the world to find biological signals and patterns and guide our assays, bioinformatic pipelines, and product strategies. Working closely with scientists, clinicians, and engineers, you will develop machine learning and statistical methods to pull signals out of ultra-deep sequencing data and identify cancer at its earliest stages. You will develop and experiment with machine learning models operating across GRAIL’s data sets, public data, and data from collaborators in academia and industry. Your analysis will result in exciting discoveries in cancer biology, impactful publications, and products for early detection of cancer.
You Will:
Your Background Will Include:
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.
GRAIL is an American biotechnology company, which began in 2015 as a start-up in San Francisco, California, seeking to develop an early cancer screening test for people who do not have symptoms. Its headquarters is in Menlo Park, California, with locations in Washington, D.C., North Carolina, and the UK. Its parent company is Illumina in San Diego, California.
Menlo Park, CA, USA
4-6 year
Menlo Park, CA, USA
4-6 year
Menlo Park, CA, USA
0-2 year
Menlo Park, CA, USA
0-2 year
San Diego, CA, USA
0-2 year
Seattle, WA, USA
0-2 year