Decision Support and Automated Reasoning Scientist

Employment Type

: Full-Time


: Miscellaneous

Invitae is a healthcare technology company that leverages genetic information to empower doctors and patients to make informed medical decisions. Our software team tackles the problems of healthcare systems, laboratory automation, data engineering, operations research, and computational biology. We're constantly improving our tools and technologies to deliver the highest quality actionable information to doctors and patients. About the Team Invitae AI is seeking a computer scientist with expertise in AI decision support systems. This could include automated planning, reinforcement learning, bayesian reasoning, recommender systems, and human-in-the-loop user interfaces. The desired candidate is a strong coder with professional software engineering experience as well as a scientist interested in developing and publishing state of the art methods with the Invitae AI team. They appreciate academic work for its novelty and rigor and enjoy the ability of industrial computer science to scale and focus the impact of their work. As a member of the Invitae AI team, they will work with collaborating engineering teams to implement solutions to contemporary problems in artificial intelligence, machine learning, and computational biology. What you will do: * Work with business stakeholders and operations users to design and implement powerful decision support systems * Work with collaborating software engineering teams to integrate and scale solutions * Work with collaborating academic researchers to prototype advanced approaches to these systems * Demonstrate insights and value internally (presentations, documentation) and externally (conference papers, blog posts) What you bring: * PhD or equivalent experience in computer science * Relevant publications in Automated Planning, Reasoning, or Recommendation systems * Knowledge of reasoning representations (e.g. markovian, hierarchical) and solver methods * Experience with reinforcement learning methods (e.g. Bandit, TD methods) * Proficient with Python and JVM languages, Linux, and SQL/NoSQL databases * Ability to both guide and accept guidance from team members * Detail-oriented with excellent written and verbal communication * Interest in solving problems in the healthcare domain to make observable improvements in patient and clinician experiences Other methods you are excited about: * NLP methods * Active learning * Explainable AI * Social methods (e.g. collaborative filtering, crowd experiments) * Human computer interaction * Information Retrieval methods At Invitae, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

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