Laboratory Research Scientist (Machine Learning) – Applied Biotechnology Laboratory
Samuel Rodriques, Group Leader
This is a full-time, fixed term (9 months) position on Crick terms and conditions of employment.
The Applied Biotechnology Laboratory at the Francis Crick Institute seeks to invent new technologies that will accelerate biomedical research. We currently have a new project to predict the safety profile of specific small molecules using machine learning. We are seeking to recruit a machine learning researcher to assemble, from publicly available sources, a database that we can use to train predictive models.
The successful candidate will develop a data structure that can be used to predict the safety profile associated with a specific drug. The candidate will identify publicly available databases that may contain relevant information, will determine how to interact with those databases, and will then write code to extract information from those databases and to assemble it into a usable format for subsequent model building. The researcher will then be responsible for examining the database and characterizing the quality of the information contained therein, and for implementing various strategies to augment or improve the quality of the data. If time allows, the researcher will then build machine learning models, using the data structures, that will attempt to predict severe adverse events that would be associated with specific molecules.
Key experience and competencies
The post holder should embody and demonstrate our core Crick values: bold, imaginative, open, dynamic and collegial, in addition to the following:
Qualifications, experience and competencies:
An undergraduate degree in machine learning, computer science, physics, or a related area.
A track record of outstanding research in machine learning, computer science, physics, or a related area.
Ambition, and a desire to achieve great things.
Strong skills in organizing and thorough record-keeping.