Use predictive modeling, statistics, machine learning, data mining, and other * data analysis techniques to collect, explore, extract, report insights from structured and unstructured data.
Develop and apply creative solutions that go beyond current tools to deliver data-driven insights to high-priority scientific problems.
Collaborate with cross-functional teams (customers, internal IT teams, etc) to understand business needs, ensure data integrity and flow efficiency, and to create reports/tools for customer utilization.
Present finding and recommendation to customers and internal management teams.
Develop high-performance, production code.
What You Should Bring
Masters degree with a minimum of 3 years of relevant experience in Computer Science, Statistics, Machine Learning & Artificial Intelligence, Physics, Mathematics, Computational Chemistry, Bioinformatics, Computational Biology or a related discipline is required.
Ph.D degree with the relevant research experience is a big plus.
Cheminformatics, drug discovery, or clinical development experience is a big plus.
Strong working knowledge of machine learning algorithms such as Random Forest, SVM, neural networks, etc. and/or Natural Language Processing techniques is required.
Proficiency with one or more programming languages such as Python, R, C++, or Java is required.
Experience in web development, including UI and UX, is a plus.
Experience with visualization software/tools such as R, Spotfire, Tableau, etc. is preferred.
Ability to effectively communicate technical work to a wide audience is required.
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