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Provides ad-hoc programming support to Clinical Operations, Data Management, Statistical Programming, Biostatistics, Drug Safety, Clinical Science, Medical Writing and Drug Safety to ensure rapid access to clinical study data for data cleaning/validation, SAS listings review, TLF, dry runs, etc.
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Expertise with core data science languages (such as Python, R, Scala), and proficiency with key database systems (e.g. SQL, NoSQL). BS in computer science, software engineering or related area with at least 10+ years of experience in working on the development of data pipelines and data products.
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Must have Master's degree or foreign equivalent in Computer Science, Computer Engineering, Information Technology, Electronic Engineering, or a related field and 2 years experience in the proffered position, or as a Developer, Software Engineer, Technology Analyst, Programmer Analyst, or related occupation.
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This involves the development of a control system architecture, selecting the components to be used, detailing schematic diagrams and system documentation, programming controllers (PLC, DCS, RTU), programming the process visualization (HMI/SCADA), developing databases for archiving/displaying historical system data and implementing/commissioning the control system at the client’s facility.
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PhD in Statistics, Mathematics, Computational Biology, Bioinformatics, Computer Science or related field. Members of PTI will be supported with industry-level resources to lead research projects and disseminate their discoveries and innovations to the broader biomedical community through frequent publications, presentations, and submissions to public data portals.
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You will have the opportunity to apply your knowledge in computational biology, machine learning, computer science, and statistics to develop and improve algorithms for analysis of multidimensional biomedical data and provide creative solutions to cutting-edge problems in genomics and drug discovery.
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Take charge of programming controllers such as PLC, DCS, and RTU as well as in processing visualization (HMI/SCADA), building databases for storing/displaying historical system data, and commissioning the control system at the client's site is critical.
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Data quality surveillance of CRF and external/non-CRF clinical trial data (e.g. Biosample Lab Data, Biomarker Data, Imaging) in collaboration with other Clinical Operations roles, Medical Monitors, Translational Medicine, Clinical Pharmacology, Biostatistics, and other internal and external stakeholders.
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Proven experience with all phases of automation projects including conceptual, basis of design, implementation, testing, start-up and commissioning of Process Control System (PCS), SCADA, and DCS in the Life Science industry.
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Education A Bachelor of Science degree in Electrical/Control Engineering, Mechanical Engineering, Chemical Engineering, or Computer Science is required. Familiarity with relevant regulatory requirements of the life science industry such as cGMP, 21 CFR Part 11, etc.
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Conduct Quality Control (QC) review of Bioanalytical data (LC-MS/MS, ELISA, qPCR, etc.) A Document Quality Control Specialist position (fully remote) is now available through Adecco Medical and Science.
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Strong understanding of scientific sampling methodologies and the state-of-science on a broad range of terrestrial, wildlife, soil, and water quality issues. Ph. D. in Water Resources, Environmental Science, Ecology, Environmental Engineering, or another related field.
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Experience with data modeling, machine learning algorithms, optimization, and data science techniques e.g. decision trees, SVM, neural networks, time series, forecasting, classification, regression, clustering, cross-validation, and model evaluation.
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Work closely with scientists within the in-vivo pharmacology group to verify in-vivo and Pharmacodynamic (qPCR) data. Work closely with scientists within the ADME group to verify bioanalytical data generated using HPLC-FD and LC-MS/MS.
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Familiarity with regulatory guidelines and standards related to bioanalytical data review. Interpret data and provide insight for in-vivo studies, ensuring alignment with study objectives and protocols.
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data science jobs Title: program Company: Quora in Bedford, MA
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