Data Engineer (Remote)

Data plays a key role in our growth strategy and product development. In this role, you will lead the design and aid in the implementation of the data architecture required to support our short and long-term data vision. You will lead the design of a knowledge graph to link diverse data sources, including high-content imaging, sequencing (WGS, WTS, scRNA, and others), MOS model characteristics, clinical and disease data, as well as public datasets of drug response. The ability to easily mine this data will be critical to opening new avenues for predictive analytics and therapeutic advances. As an integral member of the Data Science & Bioinformatics Team, you will tackle some of the most interesting biological and technical questions related to functional precision cancer therapeutics. You will design and manage our ETL pipeline of diverse biological data, with an eye for both long-term storage considerations and enabling downstream analysis by data scientists and partners. You will work closely with experimental scientists, device engineers, and software and operations teams to deliver solutions to further precision oncology. You will be part of a fast-paced early-stage startup and have the opportunity to shape the data strategy and product development. MS in computer science, bioengineering, data science or a related discipline with 3+ years of industry experience Experience with data lakes, knowledge graphs Experience working in an AWS environment Expertise in scripting languages – Python, R, and linux shell environment Bonus: experience developing workflows Knowledge of structured and unstructured databases, including Postgres Experience with data science workflows Bonus: knowledge of machine learning models and-development cycle Experience with NGS data and bioinformatics tools and file formats Bonus: Experience with multi-modal datasets