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A highly motivated individual, the Senior Principal Scientist will focus on strategic development and implementation of novel data science and predictive analytics methodologies to support clinical drug development.
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Position Role/Tile: Bioinformatics Data Scientist / Engineer / QA. This is a dynamic career opportunity to join as a Bioinformatics, Data Scientist Team member to support our qPCR Algorithm Development Group.
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Proficient in data science tools and programming languages such as SAS, Python, R, Scala, SQL. Work with a variety of data science tools and programming languages such as SAS, Python, R, Scala, SQL.
$167,780 - $281,870 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Proficiency in GraphPad Prism, Excel, PowerPoint, Zoom, and basic statistical data analysis required; bonus if experience with Benchling, Notion, Asana, or Python/R programming. UCSF Innovation Ventures: Awarded by UCSF's Entrepreneurship Center, a premier life science resource for faculty spinouts Physical Demands Of The Work Environment The position is expected to work onsite full time (8h/d, 40h/wk) during the Siren’s normal business hours as well as additional hours as required by the nature of your work assignments.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Fluency with Python and data analysis using modern frameworks for deep learning (e.g. Pytorch, TensorFlow-Keras). For this position, we are seeking a demonstrated scientific leader with a consistent and outstanding record of creativity and performance in multimodal data integration and analysis for cancer biology R&D, evidenced by peer reviewed publications in top tier journals, patent applications, and/or publicly available code repository.
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Design data software to handle data manipulation, scheduling, event-based triggering, and automation tasks using SQL, Python, R, and Scala, as well as working with relational databases like Snowflake, Redshift, and Postgres.
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The Lead Data Scientist will formulate Glo’s data strategy and work with the Data Engineer to implement the appropriate architecture and execute on the strategy. Proficient in programming languages such as Python, R, SQL, and SAS.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Utilizing knowledge of modern big data approaches preferred: e.g. PySpark, Apache Spark, Azure Databricks, Azure SQL, Azure ML, R, Python, Java, etc. Leveraging experience with basic programming: Python, R, SQL, Matlab, C.
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Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomics & Mass Spectrometry), Infectious Disease , and Quantitative Cell Science.
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Advanced proficiency with data, analytics, and visualization technologies (we use SQL, Looker, and Python). As a Data Scientist on the Square Loans team, you will partner with cross functional stakeholders like Product, Credit Policy, Engineering, and Operations to shape and execute strategies that expand credit eligibility, enhance loan gross profit, and improve cohesive banking user experience on a global scale.
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Statistical analysis experience, including experimental design, regression modeling, and machine learning using tools such as GCP, Adobe analytics, Python, R, Spark SQL and MLlib for custom analysis, in conjunction with SQL for data query and extraction techniques.
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Fluency in healthcare data and ML programming languages in particular SQL, Python (pyspark), dbt, ML Flow strong experience with DL frameworks such as TensorFlow, Kedro and others. Familiarity with agile methodologies, and project tracking tools and experience managing end-to-end data science projects.
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Build and maintain bioinformatics pipelines for single-cell sequencing and flow cytometry proteomic data using R or Python. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology.
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Access, query, aggregate, manipulate, consolidate, and summarize omni-channel customer and visitor data from multiple large-scale data sources using data science tools (SQL,R, Python, SAS, Microsoft Power BI, Azure, Adobe, Databricks.
$141,800 - $146,800 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago
data science scientist python r jobs Title: lead data scientist in San Francisco, Grove-city, Ohio
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