This ideal candidate will build machine learning models and supporting their implementation and deployment through collaborations with cross-functional stakeholders. The candidate enjoys tackling challenges and excels at organizing information from numerous sources to provide well-constructed deliverables.
Responsibilities will include, but are not limited to:
Build a wide range of data and analytics solutions, from descriptive to prescriptive, using advanced statistical and machine learning models
Leverage large data sets to conduct end-to end analytics that will include data gathering, requirements specifications, processing, analytics, ongoing deliverables, and presentations
Interact cross-functionally with a wide variety of people and teams. Work closely with subject matter experts to deliver value by developing novel, practical, scientific data-driven solutions to meet business needs
Experience:
PhD in Engineering or Computer Sciences or Life Sciences OR
Master s degree & 2+ years of directly related experience OR
Bachelor s degree & 4+ years of directly related experience
Preferred Qualifications:
Expertise working with large data sets, data mining, and machine learning tools
Experience in various artificial intelligence applications
Expertise in Python and/or R and/or SQL programming languages
Understanding of biopharmaceuticals process and related unit operations, including analytical methods and process controls
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Independent, self-motivated, organized, able to multi-task in time-sensitive environments, and skilled in communication, facilitation, and collaboration
Familiarity with DevOps and software best practices (i.E., version control, continuous integration, test driven development)
Excellent communication skills (written and verbal)