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Ph. D. in Statistics, Applied Mathematics, Biomedical/Chemical Engineering, Computer Science, Physics, Computational Biology, or related field. Quantitative Systems Pharmacology (QSP) & Physiologically Based Pharmacokinetics (PBPK) have become important components of discovery and clinical development.
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Familiarity with quantitative model development eco systems (R, Matlab, Python)Three or more years of experience in building data lake, cloud data platform leveraging cloud (GCP/AWS) cloud native architecture, ETL/ELT, and data integration.
$153,600 - $341,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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What we look for:A minimum of 7 years experience in people analytics, data science, industrial/organizational psychology, or related field. Demonstrates quantitative, analytical, and research skills, with high proficiency and knowledge of data visualization tools (Power BI preferred), as well as statistical analysis tools.
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The Quantitative Supervision and Research (QSR) Team provides quantitative support to the Federal Reserve’s national supervisory programs in the areas of financial risk modeling and model risk management as well as to supervisory teams within the District’s Supervision + Credit group.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Who you areYou will have a BS, MS, or PhD degree in the physical sciences (e.g. Chemistry, Physics, Chemical Engineering) or quantitative field (e.g. Computer Science, Statistics, Applied Mathematics) or equivalent industry research experience.
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Lead new data science initiatives at the VA and at UCSF, serving multiple roles as data custodian, data consultant, statistical analyst, and scientific collaborator. Knowledge and experience with advanced statistical programming and data management using STATA, SAS, R, python, SQL or other programs.
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Proficiency with data platform architecture, design, data dictionaries, multi-dimensional models, objects, star and snowflake schemas as well as structures for data lakes, data science, and data warehousesExtensive experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP.
$181,000 - $241,000Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Who You Are PhD degree in a relevant field computer science, computational biology, bioinformatics, molecular biology, cancer biology, genomics). The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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Preferred a MPH, MBA, MS, MA, RN, or RHIA in health science, quantitative social science, public health, health services research or business, or BA/BS with demonstrated equivalent work experience.
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Our customers are the most sophisticated analytical organizations in the world, including companies like Bristol Myers Squibb, Allstate, Bayer, and Red Hat. Backed by Sequoia Capital, Coatue Management, Bloomberg Beta, and Zetta Venture Partners, we are at the epicenter of the data science revolution, helping companies develop the next breakthrough in medicine, build better cars, or recommend the best song play next.
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Required Skills: PhD or MS in Bioinformatics, Mathematics, Statistics, Computer Science, or a related quantitative field. Exciting Opportunity: Seeking Senior Data Scientist (Fully Remote)Location: Remote Competitive Pay Rate: $89/hr - $91/hr Are you a highly motivated Data Scientist looking to make a significant impact in the field of clinical trials and biomarker data.
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The Principal Scientist will be Subject Matter Expert who will apply innovative Quantitative Clinical Pharmacology approaches to guide optimal drug development including. In this vital role you will be responsible for the development and implementation of the Quantitative Clinical Pharmacology, Modeling and Simulation strategies for cutting-edge novel modalities including Bi-specific T-cell engagers, Bi-specific antibodies, oncolytic viruses.
$142,936 - $171,592 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Snowflake, Cassandra, Aurora.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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quantitative data science jobs Company: Abbvie in San Francisco, CA
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