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PHD candidates in Engineering/ IT/Computer Engineering/Computer Science/Bioinformatics or related discipline with relevant with a minimum of 1 years of experience in software development and pipeline automation in the pharmaceutical and/or biotech industry.
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Typically requires a Bachelor’s degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 8 years prior GNC, Signal Processing or Modeling/Simulation experience.
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Collaborate effectively within a matrix environment, with scientists across various scientific disciplines, therapeutic areas, and departments to develop a strategy and appropriate goals for data science work Minimum Requirements/Qualifications: PhD degree in Computational Biology, Bioinformatics, Computer Science, or a related field with 7+ years experience , or MS with 13+ years experience, or BS with 15+ years experience.
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WHAT WE SEEK:Bachelor’s or master’s degree in Chemistry, Chemical Engineering, Cosmetic Science, or a related field. Prepare and maintain accurate documentation including formulation records, technical data sheets, formulation records, batching/mixing instructions, and SOPs. Engage with customers and research social media to understand their needs, improving products, and identifying white space.
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4 plus years of experience required to be considered for Senior Principal Scientist level including 2 plus years of experience in a lead role overseeing ADME/DMPK project strategy, either in discovery or clinical development.
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There are numerous such opportunities within the School of Engineering and the School of Arts and Sciences as well as the School of Medicine, the School of Dental Medicine, the Graduate School of Biomedical Sciences, the Friedman School of Nutrition Science and Policy, the Fletcher School, and the Cummings School of Veterinary Medicine.
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Master’s degree in Computer Information Systems, Business Analytics, or related field Work Experience: 9+ years AML/OFAC exposure, Model Development experience Skills and Abilities: Experience in model development, tuning, and optimization of AFC/AML models.
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Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-timeThe Senior Software Engineer will play a pivotal role in advancing the technological landscape of GSK, specifically focusing on the design, delivery, and ongoing support of state-of-the-art data driven applications.
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Following the Ph. D., 2+ years of mathematical modeling & computer simulation experience in the pharmaceutical industry for the Sr. Research Investigator level. Stay informed with emerging literature and science in the systems biology/pharmacology modeling and simulation sciences.
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Why We Value You You have a degree in a biological science and are capable of quickly coming up to speed on the biologics drug discovery process. Compensation Competitive base and equity compensation commensurate with level of experience and independence.
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The successful candidate will have a strong background in structural biology, protein engineering and antibody discovery workflows. We are seeking a highly skilled and experienced Principal Scientist or Associate Director in Biotherapeutics Engineering to design and optimize biologics-based drugs, incorporating structural biology expertise as well as innovative computational methods.
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Bachelor's or Master's degree in a quantitative field such as Computer Science, Data Engineering or related discipline. Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and apply them to improve existing processes and methodologies.
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Bachelor's degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Information Management, Business Administration, or a closely related field and six (6) years of experience as a Director, Software Engineer (or closely related occupation) leading a team of engineers in the design and implementation of Content Management Systems (CMS.
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PhD. in chemistry, chemical engineering, materials science, mechanical engineering, or related discipline. Industry Background: Energy storage systems is a rapidly emerging field.
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A strong background in statistics, biostatistics, computer science and/or computational biology is required; and specifically, experience with analyzing high-dimensional datasets, such as whole-genome sequencing, multi-omics data, and electronic health records, is preferred.
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software engineering level computer data science jobs Title: systems in Boston, MA
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