A data scientist is sought to build, enhance, and operate machine learning pipelines for creating models to predict medical outcomes and physical traits from biological data. Successful hires will join an interdisciplinary research group pursuing ambitious, long-term projects aimed at achieving major scientific advances in the fields of medicine and forensics.
This position encompasses both research and day-to-day operational duties. In this position, the Data Scientist will conceive, implement, and optimize machine learning pipelines for making predictions from biological data. This will include determining and implementing optimal approaches to feature selection, model selection, parameter optimization, and model accuracy evaluation. This position will also support the company's computational biology and genomics experts with their development of computational tools such as data analysis pipelines.
Operationally, the Data Scientist will be responsible for performing analyses using existing pipelines related to Parabon's Snapshot DNA Analysis Service. (Learn more about Snapshot at: snapshot.parabon-nanolabs.com
The Data Scientist will have the opportunity to work at the forefront of multiple scientific disciplines and is expected to be capable of developing new methodologies, tools, and pipelines, as well as driving the identification and implementation of emerging technologies and statistical tools. The Data Scientist will be part of a dynamic team of genetics and computer science experts and will be expected to work both independently and collaboratively.