Staff Data Scientist

November 1

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Valo Health

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💰 Series C on 2022-10

Description

• As a core member of Valo’s Chemical Data Sciences team, your primary role will be training and applying predictive models to drive Valo’s drug discovery programs, both internally and with partner collaborations. • You will leverage Valo’s Opal Platform and your extensive skill set in computational and life sciences to tackle a broad range of complex chemical design and optimization challenges. • The team you will be joining is responsible for a high level of communication and collaboration with other key groups within the organization. • You will be working with the in-vitro pharmacology group to ensure we are training the best possible models and helping to solve the correct optimization problems through mutual understanding of the data. • You’ll partner with various engineering teams to advance new capabilities, create and improve data pipelines, and improve data ingestion and evaluation processes.

Requirements

• A PhD (or Masters with experience) in Computational Chemistry, Computational Biology, Bioinformatics, or related quantitative fields • At least 5 years of relevant industry experience required • Proven experience in critical evaluation of the scientific literature; basic skills in mining of biological assay data is a plus • Good understanding of methods in cell biology, biochemistry, and molecular biology are essential • A skilled programmer in python and/or R, fluency with shell scripting, and comfortable working on the command line • Experience with existing cheminformatics tools and platforms such as RDKit, OpenBabel, Pipeline Pilot, KNIME, MOE, and Schrödinger • Understanding of data modeling and database technologies, including experience with SQL • Understanding of the practical application of modern machine learning methods • Strong project management skills with significant practical experience managing multiple, parallel projects • A confident and effective communicator – equally comfortable within a platform engineering discussion and a medicinal chemistry discussion • An ability to work well under pressure and drive projects that affect critical timelines • Excellent organizational skills and attention to detail