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Automation Scientist

Spectraforce Technologies
United States, Massachusetts, Cambridge
Nov 13, 2024
Automation Scientist 23 Months Cambridge, MA 02141 Education: An associates degree in engineering or Life Sciences with a minimum of 4 years of experience in laboratory automation in academia, pharmaceutical and/or biotech industry OR bachelor's degree/Master's degree in engineering or life sciences with 2 years of experience in laboratory automation in academia, pharmaceutical and/or biotech industry. The candidate will have experience with some of the following techniques and instrumentation: * Automated wet lab assay execution. * Assay validation and optimization. * Microsoft Office, LabView, introductory python skills * Excellent verbal and written communication skills * Experience with liquid handler and robotic arms. Instruments that are routinely used; Biomek, Combi, BlueWasher, Cytomat, Precise, Staubli, WDII, Pherastar, Echo, Hamilton. Responsibilities: We are seeking a dedicated and highly motivated automation scientist to join the Data, AI and Genome Sciences group. We are focused on remaining at the forefront of this fast-paced, exciting field and are always looking for innovative minds. * Successful candidates will become part of a creative and flexible team that utilizes cutting-edge automation and science to support the discovery and interrogation of novel medicines. * Successful candidates will focus on the operation of automated systems and associated instrumentation. * Candidates for the position must support parallel projects and multi-task daily. * Experience with automated liquid handlers, detectors, and robots is required. * Critical to success will be the ability to design experiments, interpret and track results, and utilize this information for automated workflow development and optimization. * Candidates must have a demonstrated ability to follow established protocols, validate new protocols and show attention to detail. * The candidate is expected to participate in preparation of automated systems and associated instrumentation for the execution of automated workflows. * Monitoring executing automation systems is crucial with the ability for system and instrument level error recovery.