The Vaccines Analytical Research and Development (Vaccines AR&D) team within the Large Molecule Analytical department is seeking applicants for a lab based Scientist position at its West Point, Pennsylvania, research facility.
The scientist is a laboratory-based scientific role that establishes and maintains laboratory automation and robotic systems used to support high-throughput analytical assays.
The primary lab-based role of the successful candidate will be to accurately perform automated and robotic biochemical, immunoassay, and cell-based methods. The candidate must be able to independently troubleshoot technical issues, participate in day-to-day lab maintenance activities, maintain accurate records, and be responsible for timely communication of data. Additionally, the individual will be responsible for maintaining laboratory automation and robotic systems. The individual should have practical working knowledge of hardware and programming experience with robotic liquid handlers, as well as scheduling software across a range of platforms (Tecan, Hamilton, HighResBiosolutions).
The successful candidate must be able to solve analytical problems at the interface of biology, chemistry, and lab informatics, to enable the development of vaccines supporting process development, formulation development, vaccine investigations, and method lifecycle management. Lastly, the individual will be expected to execute method development, qualifications, validations, and transfers of analytical methods. This includes authoring reports and technically reviewing data. The ideal candidate should bring expertise in a wide variety of automation and robotic methods with an emphasis on engineering, biology, chemistry, and virology.
The successful candidate must function well and collaborate effectively in a fast-paced, integrated, multidisciplinary team environment. Applicants must have effective organizational, multi-tasking, oral/written communication skills, show scientific leadership, and a desire to conduct research. Evidence of cross-functional collaboration in an academic or industrial setting is also preferred.
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Tagged as: Life Sciences
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