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The ideal candidate will be responsible for designing, developing, and enhancing our python data science tools and frameworks. We are seeking a talented and self-motivated Quantitative Researcher to join our growing data science efforts.
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Collaborate with business, engineering, infrastructure and data science teams to translate their needs or challenges into production-grade Artificial Intelligence (AI) and Machine Learning (ML) deployment architectures for batch, real-time streaming and edge deployments.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Data Strategy Development: Define and implement a comprehensive data science strategy aligned with the company's R&D objectives, ensuring data science and AI/ML methodologies accelerate target discovery, drug development, and biomarker identification.
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You will leverage your fundamental knowledge of biosensors, fluorescence data, and bioengineering R&D to act as an expert for the interpretation, and analysis of, nELISA experimental data coming from R&D and day-to-day Lab Operations, connecting the fundamentals of the science to the specifics of the data.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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In addition, the ideal applicant should have a strong programming background (e.g. Python, R, SQL, MATLAB) and the drive and enthusiasm to learn about clinical neuroscience by assisting in state-of-the art patient-centered research.
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We are seeking a talented and highly motivated Co-Op in Data Science to join our Process Analytical Technology (PAT) R&D group, part of the Global CMC Development organization at Sanofi US. This position is intended for a 6-month (24 weeks) period and offered as a hybrid position with remote and in-person components in our Cambridge and/or Framingham, MA offices.
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We are seeking a Consultative Computational Biologist with expertise in AI and data analytics to serve as a consultative strategic advisor and technical expert for decision-makers. Ph. D. in Computational Biology, Bioinformatics, Systems Biology, Computer Science, or a related field.
ExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Spring boot, Microservices, Docker, Jenkins, Github, Kubernetes, and REST API experience.
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Analyzes data using data mining, machine learning, and statistical algorithms available in COTS tools (e.g. SAS, SPSS, and Oracle); builds analytical solutions using programming languages (e.g. R, Python, SAS), and programming libraries (e.g. Python SciKit, R Caret, PostgreSQL MADlib, Apache Spark MLlib.
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Master’s degree in data science/bioinformatics/computational biology/machine learning or related field. Communicate key data insights and to various audiences within R&D. Demonstrated expertise in core coding environments including Python, R, SQL, bash scripts.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, SAS in databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
$234,300 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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In this role, you will support the successful development of data strategies, data governance programs, data modernization roadmaps, reporting and visualization tools, and craft business cases for funding of data initiatives at large corporations, in particular regard to EHS and ESG functions.
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PhD in Biostatistics or equivalent with at least 5 years of experience, or MS with at least 7 years of experience in biostatistics, statistical programming, Epidemiology or Data Science.
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Familiarity and experience utilizing data warehouse, data analytics, Smartsheet, K2 and reporting tools a plus (e.g., Cognos, SQL, R, Python, Tableau, Power BI) You are a well-versed disbursement tactician with a continuous improvement and operational efficiency and effectiveness mindset who delivers data driven outcomes via key performance indicators (KPI) and service level agreements (SLA.
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About the Position As an Associate Machine Learning Engineer on the National Grid Data Science team, you will develop data pipelines, take data science prototype models to production, fix production bugs, monitor operations and stand up the necessary infrastructure in Azure.
$99,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
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