Robotics and Automation Associate Scientist (Chemical R&D)

We are seeking an associate scientist to join the Automation & Robotics group within Chemical Research and Development (CRD). This group will develop an automated, robotic laboratory infrastructure that delivers a 10-fold productivity gain including a 50% cycle time reduction for key CRD workflows as well as driving enhanced sustainability. They will create a synergistic data infrastructure to promote rich, systemic, automated data generation and curation.  They will harness machine learning to drive unattended decisions (self-optimization and self-correction) as well as to aid in experiment design. These goals will be achieved through partnership with other disciplines including data scientists, analytical chemists, engineers, and process chemists to develop digital and robotic automation platforms. Current projects include new reactor development and evaluation, a robotic gantry evaluation, software control system development and computer vision applications.The successful candidate will develop and deploy automation and technology processes for pharmaceutical drug candidates in a laboratory setting.Position ResponsibilitiesThe successful candidate will help design, prototype and develop laboratory automation solutions for process development applications as part of a multi-disciplinary team.Assist with design and testing of modular hardware to facilitate data-rich experimentation.Enable use of digital tools for machine learning and self-optimization to enhance automation goals.Collaborate with internal and external stakeholders to implement automated equipment and develop novel solutions for execution of laboratory experimentation.Innovate with academic and industrial collaborators to identify unmet needs and develop novel solutions.Partner with process chemists and engineers on suitable experimentation to deliver CRD workflows for small molecule drug development.Implement a robotic control system for orchestration of multiple workstreams using modular laboratory equipment.Enable data management systems to retrieve, process and store relevant lab data from both manual and automated experiments.Participation with departmental initiatives, continuous improvement teams, scientific presentations, and external collaborations to influence scientific and business impact of the group.