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The Data Science/Applied Science team supports MCM's growth by supporting the launch of new features through modeling, algorithmic and analytical excellence. 6+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master’s or PhD in a quantitative discipline with 4+ years of experience.
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Experience working with cloud data processing technologies such as Apache Spark, ElasticSearch, Presto, SQL, etc. We're looking for top-notch search engineering talents in the area of information retrieval, search indexing, Elasticsearch, Lucene, algorithms, relevance & ranking, data mining, machine learning, data analysis & metrics, query processing, multi-lingual search and multi-modal search.
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Bachelor's degree with major coursework in Chemistry, Biology, Environmental Science, Environmental Engineering, or a related field or equivalent work experience. Develops reports, technical summaries, and data summaries to assist with water quality studies, treatment system design review, and permitting.
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Value self-learning – you habitually further your understanding of relevant areas of interest, such as deep learning, generative AI, cloud computing, and data science. Significant experience in analytics, AI/ML, deep learning, generative AI and related data science is highly preferred.
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Experience with data warehouse platforms (e.g. Redshift, BigQuery, Databricks, Bonus if they have knowledge of data warehouse platforms Redshift, Big Query, Dada bricks, Airflow. You will help develop and implement the next generation of our data pipeline to ensure visibility into our business as we scale toward the launch of an autonomous mobility service.
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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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Experience with Azure, Snowflake, Azure Data Factory, and DBT is a plus. Would like someone with healthcare background preferably in provider data management. Azure Data Bricks, Azure Data Factory, Azure Datalake, Python, SQL, PowerBI. Strong databasee background with Oracle and SQL Server are also important.
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Sr Research Scientist I - Oncology Bioinformatics, Research Data Science. We are seeking a highly talented and motivated Senior Bioinformatics Scientist to take a lead role in statistical analysis of multi-omics and next generation sequencing data to support research projects from target evaluation to biomarker discovery with a focus in immune oncology and cancer biology.
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Software Engineer with 7+ years of experience in AWS Data Engineering. AWS Data Engineer with Production Support. Expertise in end-to-end ETL Datawarehouse, Python, AWS managed services (EC2, EMR, Glue, Step function, SNS, Airflow, SQS, Lambda, Cloud Watch, Cloud Trail, S3, Redshift), different databases, Databricks, Starburst.
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Job DescriptionTitle: Medical Science Liaison, Northeast RegionLocation: RemoteAbout Us:Vera Therapeutics (Nasdaq: VERA), is a late-stage biotechnology company focused on developing treatments for serious immunological diseases.
$202,000 - $226,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Background in data science and analytics, especially in a robotics context. This Data Engineering role is critical in our journey to understand and improve how our drones perform and are used by our customers.
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Ph. D. or Masters in Bioinformatics, Biological Sciences (Ecology, Microbiology), Genetics, Genomics, Computer Science, Mathematics, or related field. Deep understanding of microbiome data and NGS assays, including handling large datasets and analysis, and familiarity with the standard toolchains.
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Starts equipment that produces images of internal organs and records diagnostic data on magnetic tape, computer disk, strip printout, or film. Keys test data and patient information into computer of ultrasound equipment to maintain record of test results.
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Leadership & Strategy - Spearhead the computational biology and data science team towards achieving critical innovation aligned with Karius' strategic goals. 7+ years of industry experience leading the development of cutting-edge computational and analytical methods aimed at deriving critical or novel insights from advanced molecular data, including but not limited to next-generation sequencing data.
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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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data science jobs Title: data Company: Meta in Burlingame, CA
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