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As a Principal AI Scientist, you are expected to: Lead advanced machine learning and analytical method application to extract disease biology insights and support innovative clinical development programs and publications on multimodal translational data sets that include single cell and spatial ‘omics, RNAseq, ctDNA, digital pathology, and clinical data.
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BS in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field and 4+ yrs of experience as a Marketing/Product Analyst, Data Analyst, Data Scientist, BI Engineer, Analytics Engineer, or similar role.
$144,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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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. Experience with data visualization tools such as Tableau, MixPanel, Google Looker.
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Experience in structural biology (cryo-EM grid preparation, data processing). This position offers opportunities to present data at internal and external meetings, as well as opportunities in manuscript contribution.
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Job Requirements: PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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Specifically, we are looking for a Senior data scientist with 5+ years of experience to work with our Data team to power our analytics and some user-facing products. As a data scientist at CoinList, you'll find that your days are filled with all sorts of fascinating challenges.
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Magnifi is seeking a Senior LLM Data Scientist with Large Language Model (LLM) experience who can work end-to-end, training, and productionalizing models. Magnifi by TIFIN is changing the way consumers shop for investments by bringing trusted data, insights, and a world of investment opportunities right to their fingertips.
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The Opportunity:As a Data Scientist at Kandji, your research will advance our core MDM and EDR products by leveraging machine learning techniques to enable automatic threat detection. You will be a critical part of our R&D organization, collaborating with the Threat Intelligence and Data Engineering teams to deliver innovative solutions to the Product organization.
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As the lead data scientist on these teams, you will leverage data insights to identify opportunities, inform key product and business investment decisions, and play a critical role in helping Jerry become the first, truly connected ecosystem for car owners.
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Abbvie is seeking a highly motivated and experienced translational scientist to lead a team of senior scientists accountable for driving the development, planning, and execution of the clinical translational research and precision medicine strategy across the rheumatology or gastroenterology drug pipeline at Abbvie.
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Experience as a data analyst, data engineer, data scientist, or software engineer. , data movement (real-time replication or ETL/ELT), multiple clouds (AWS, Azure Google, Alibaba), cloud analytics destinations (Snowflake, Databricks, Kafka, RDS, Synapse, BigQuery, etc.
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The candidate will have the exciting opportunity of conducting ‘reverse translation’ research using high-throughput, multi-dimensional human biomarker data to learn directly from our clinical trials and to inform new discoveries.
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Nobell is seeking a Computational Biologist / Machine Learning Scientist to join our team of scientists to contribute to the development of the Nobell Plant Grown Protein (PGP) platform. Develop and implement algorithms across a range of in-house acquired data including, but not limited to genetic sequences, RNA expression, protein expression and protein structure.
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Depending on the project you work on, experience with 1 or more of these AI/ML technologies: TensorFlow, scikit-learn, Spark MLlib, Bigquery Machine Learning, large-scale data sets, Natural Language Processing and Graph algorithms.
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Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomic Sequencing, Mass Spectrometry/Proteomics), and Research Group Leaders.
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scientist data jobs in San Francisco, CA
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