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Minimum 10 years in a technical role delivering projects in Data Analytics, Machine Learning, Cloud Computing Platforms, and Service-oriented architecture, with a preference for Large Language Model (LLM) technology.
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Johnson & Johnson Innovative Medicine is recruiting for a Senior Scientist, Discovery Data Science to help advance Artificial Intelligence/Machine Learning (AI/ML) for Drug Discovery.
$113,000 - $195,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Data mining, visualization, and Machine Learning skills on Azure/AWS/GCP etc. Knowledge of new platforms like Microsoft fabric, Microsoft purview, MuleSoft, Snowflake, Databricks and other cloud data platforms or ETL tools.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Experience in Data science, machine learning, or optimization models. These technologies may include artificial intelligence, machine learning, statistical techniques, mixed integer linear programs, reporting/big data analysis, dashboarding, data integration, and other heuristics/algorithms.
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Bachelor’s or master’s degree in Computer Science , Information Systems, Engineering, Machine Learning, or related fields. Cloud Computing Platforms : Familiarity with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) for AI development, deployment, and scaling.
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Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data.
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Primary responsibility will include processing, analyzing and archiving neuroimaging datasets and facilitating integration of neuroimaging and clinical data repositories using the Integrated Neurodegenerative Disease Database (INDD) and cloud-based commercial platform FlyWheel.
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Platform Integration: Design and implement solutions that integrate with IQVIA, Veeva, Salesforce Marketing Cloud, Marketo, Adobe Experience Manager, and Crownpeak, ensuring seamless data exchange and enhanced marketing capabilities.
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Conceive, plan and prioritizing data projects with the Director of Data Science & Machine Learning. Experienced technical lead for the data science team, with experience mentoring team members.
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Experience with AWS, Microsoft Azure or Google Cloud Platform configuration and administration of security features and services (including identity and access management, networking, firewalls, encryption.
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Bachelor's degree in Biology, Environmental Science, Botany, Soil Science or a related accredited program is required. Experience in completing field investigations, wetland assessments, associated permitting, analyzing GIS data; preparing environmental assessments and permitting documents, technical writing.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep.
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3+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) If you’re excited to work with a tightly-knit team of data engineers solving hard problems the right way using cutting-edge data collection, transformation, analysis, and monitoring tools in the cloud, this opportunity is for you.
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