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Nice-to-haves include:Experience in therapeutic antibody development Experience with data from phage or yeast display or NGS generally. Advancing BigHat therapeutic programs through ownership of the entire data science life cycle from experimental design through data analysis and modeling, including implementation of novel antibody design strategies, development of robust data pipelines for assays of antibody function and developability, and data-driven improvements to our statistical and ML models.
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In this role, you’ll be helping us to drive our PLG motion forward, surfacing insights from a wealk of our customer data, partnering directly with our growth teams on Marketing & R&D to build out our experimentation capabilities, and owning our data stack (Looker, DBT, Fivetran, Snowflake, Census.
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2+ years of experience in Data Science or a related field, with a focus on building NLP/LLMs or Deep Learning models. As a Data Scientist at Netomi, you will drive NLP and machine learning projects and be responsible for developing methodology and solutions to support technical, analytical, and operational requirements.
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Expertise in clinical agreements, data privacy (including GDPR and US privacy laws), and commercial contracts/legal operations. This pivotal role requires a seasoned legal expert with a comprehensive skill set across three core areas: clinical expertise, data privacy (including GDPR and US privacy laws), and commercial contracts/legal operations.
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Demonstrated familiarity with electro-mechanical/mechanism design, aerodynamics, “data engineering” (instrumentation/data acquisition/data analysis) is preferred. As the the Lead Powertrain Engineer, you will lead a team of 3-5 engineers and technicians that are responsible for the design, manufacturing, and testing of subsystems within the eVTOL aircraft Helix specifically around the motor and propulsion system.
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Certified Anti-Money Laundering Specialist (CAMS) certification or Certified Fraud Examiner (CFE) is strongly preferred Experience with Visa DPS strongly preferred 3 to 5 years of experience with analysis and data mining in a risk management context.
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PhD in economics, math, quantitative finance, computer science, data science or a related field. You have a MS in economics, math, quantitative finance, computer science, data science, or a related field.
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Familiarity with data processing and visualization tools for data analysis and figure generation (e.g., R, Vortex, GraphPad Prism, Genedata Screener, etc). Maintain detailed electronic lab notebook entries, draft protocols for experiments, assay data summaries, and manage reagent stocks.
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Constructing and enhancing data pipelines for model training and serving using Google cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable. Constructing and enhancing data pipelines for model training and serving using Google cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable.
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Experience with protein characterization (intact mass and/or peptide mapping) using an LCMS system including sample preparation, instrument operation, and data analysis. Familiarity with data processing and visualization tools to analyze large datasets (e.g., Genedata Screener and/or Expressionist, Vortex, KNIME, Spotfire.
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Collaborate with NPM’s staff across Clinical Science, Digital Health, Software Engineering, Data Science, and Informatics to detail AI model functionality and requirements – to significantly increase efficiency and reduce cost in the areas of medical document control, clinical information extraction, information synthesis, and clinical note preparation.
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Clinical Data Management (CDM) supports drug discovery, development, and marketed products across Gilead by ensuring accurate and timely acquisition, analysis and reporting of clinical data.
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Experience in statistics, design-of-experiments, and data analysis (e.g. JMP, Spotfire). Working knowledge of lab automation, data management, data science, knowledge management and data protection.
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Experience with data visualization tools (e.g. Grafana, Looker, Tableau, DataStudio) building dashboards, source control (e.g. GitHub), ticket management (e.g. JIRA) 2+ years of experience as a developer, data scientist or machine learning engineer.
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6+ years of experience using scripting languages (Python, R), and big data query/processing languages and tools such as SQL, Hive, Spark and Airflow. Experience in data transformation and programming, and in developing data pipelines through use of Spark, Hive, and Airflow.
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data job Title: forklift operator in Foster City, CA
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