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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) The Clinical Data Analyst partners cross functionally to identify risk to data integrity throughout the data flow to drive quality collection for non-EDC data sources (fluid & tissue labs, digital, imaging, wearables) in Dyne's clinical studies.
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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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Risk Management: Identify potential risks and proactively implement mitigation strategies to ensure system stability and data security. Proven experience (5+ years) in software engineering, with expertise in Python, Airflow, Snowflake, and AWS. Strong leadership and managerial skills, with a track record of successfully leading and mentoring engineering teams.
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Experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics, and in deriving insights from such analyses will be advantageous. Advantageous to have experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics.
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Expertise in big data technologies (e.g., Spark, Beam, Kafka, Airflow), databases and data store technologies (e.g., Hadoop, Snowflake, PostgreSQL), and cloud platforms (e.g., AWS, Azure, Google Cloud.
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Oversee in vivo and in vitro studies, including development and optimization of disease models, study design, data collection, and interpretation. Proficiency in data analysis and scientific software.
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Data Management: Maintain accurate records and data on community engagement activities, program outcomes, and client interactions, utilizing this information to inform decision-making and continuous improvement efforts.
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Job Description Senior Data ScientistLocation: Waltham, MAGet To Know The Team: Your deep experience with artificial intelligence, NLP, language models and advanced analytics is matched by a passion to build great products, lead innovation, be a mentor and guide to other Engineering team members.
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Utilize strong background in Data Loss Prevention (DLP), Cloud Access Security Brokers (CASB), Secure Access Service Edge (SASE), data protection products and practices and customer research and insights to represent the voice of the customer to the engineering team(s.
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Provide space and occupant data (SF, LSF, headcount current and forecasted, adjacencies, etc)Key SkillsProficient with AutoCAD and CAFM systems, and workplace reporting toolsUnderstands the end-to-end data validation process.
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Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Enable functionality to support analysis, model optimization, statistical testing, model versioning, deployment and monitoring of model and data.
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Designs are implemented using VHDL and support the following type of applications: gigabit serial interfaces, Radio Frequency (RF) and Electro-Optical (EO) Digital Signal Processing (DSP), control loops, data links, embedded processing, and processor interfaces.
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Experience in various imaging/multicolor flow cytometry-based instruments and data analysis programs. This individual will be a well-organized and a highly productive scientist that can design and execute experiments efficiently, analyse, interpret, and present data to multidisciplinary project teams.
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Engage with other Global DD&T (GDD&T) platform leads to ensure infrastructure is built to support all internal & external digital experiences; collaborate with Chief Data Officer (CDO), Chief Technology Officer (CTO), and Chief Information Security Officer (CISO) to ensure strict compliance with data, technology, and information security standards.
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Experience in stream / data processing technologies like Kafka, Spark, Google BigQuery, Google Dataflow, HBaseFamiliarity designing CI/CD pipelines with Jenkins, Github Actions, or similar toolsExperience with SQL, particularly performance optimizationExperience with Graph and Vector database or processing frameworksStrong knowledge of data modeling, data warehousing, and data integration best practices.
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data job in Wellesley Hills, MA
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