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Work with Privacy and Security team on data governance, risk and compliance initiatives. Work on applied ML solutions in the areas of data mining, cleaning, normalizing and modeling.
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Hand-on knowledge of ETL and data warehouse technologies (i.e. dbt, Databricks, BigQuery, Redshift, Airflow, Snowflake) We're looking to hire a Data Scientist to take the lead on advanced analytics and predictive modeling to serve the needs of our business today and for a broader scale years from now.
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We have multiple ongoing research studies leveraging our proprietary real-world data, including an even larger ketamine analysis leveraging machine learning to predict treatment outcomes. We are backed by top investors including DFJ Growth, General Catalyst, Future Ventures, Tiger Global, and Y Combinator.
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Through a relentless focus on patient care, iRhythm's vision is to deliver better data, better insights, and better health for all. Hands on knowledge and experience with on-demand (SaaS) systems, including Salesforce.com or other CRM software.
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As a data architect, you will focus on the big picture of an organization’s data strategy. We are open to proficiency in a variety of technologies: SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Cassandra, Aurora, ZooKeeper.
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We're looking for someone who is ready to get their hands dirty, is motivated by having an impact on the business, and is constantly curious. You’ll take on projects that solidify Retool’s reporting capabilities and help the company remain data-driven.
$159,400 - $210,900 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Hands on experience in Java and Kotlin. Work Arrangement Fully On-Site: Must be able to travel to an Arrow Client office location as requested by Arrow Client leadership. eInfochips has strategic technology partnerships with Qualcomm, NVIDIA, NXP, Analog Devices, Texas Instruments, Amazon, Microsoft and Google to name a few.
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Perform hands-on documentation and data review and provides significant contributions and oversight to contract labs for protocols, deviations, investigations, CAPA's, reports, stability data, trending, specification setting, shelf-life/retest dating, using where applicable, current regression analysis practices and other relevant statistical techniques.
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Strong scientific and technical knowledge in ADME profiling, drug metabolism, transport, SAR analysis and PK; hands on experience in operation and troubleshooting of HPLC and high-resolution mass spectrometers preferred.
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PhD in Analytical Chemistry, Biochemistry, or Biotechnology and successful postdoctoral research training in a related field Minimum of 6 years of hands-on experience with liquid chromatography and tandem mass spectrometry (LC-MS/MS) approaches, and have excellent troubleshooting capabilities.
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Serve as research project manager for projects, conduct and collaborate on research projects, collect data through questionnaires and surveys, lead qualitative interviews, analyze data using appropriate theories, methods and software, synthetize and prepare materials for papers, reports and publications, and visual aids to present and demonstrate findings, program outcomes and impact, and contribute to grant reporting, annual reports, and data related projects.
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Performs required procedures and data collection activities at necessary in observational settings such as, ED, Cath Lab, EP Lab, ICU/Step down area, physician office, OR, and other required areas.
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With offices in San Francisco, Prague, Vancouver, London, Dublin, and Brno, Productboard is backed by leading investors like Tiger Global Management, Dragoneer Investment Group, Index Ventures, Kleiner Perkins, Sequoia Capital, Bessemer Venture Partners, and Credo Ventures.
$163,500 - $216,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience building backend systems at scale with a focus on large scale data processing and analytics. In this role, you will be responsible for maturing and scaling our architecture and laying the foundations for new product offerings based on machine learning and data exploration capabilities.
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Enabling closed captioning on video conferencing. Snowflake, BigQuery, Iceberg)Data job orchestration (eg. Kafka, Spark, Flink)Data cataloging, discoverability, and life-cycle management.
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