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Quantum Leap Healthcare Collaborative (QLHC) is seeking an exceptional Data Scientist with strong analytical and computational skills to support multiple complex clinical trials in Oncology and COVID. The Data Scientist is responsible for performing data analytical and programming activities in these trials, which may be Phase I, II and III pharmaceutical trials and medical device trials evaluating new biomarkers and/or therapeutics.
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The Computational Biology group in the Clinical Biomarkers & Diagnostics (CBD) department at company is seeking a highly motivated Sr data scientist to join our team and contribute to develop machine learning modeling and prediction pipelines using multi-modal biomarker data from clinical trials.
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4+ years of experience working as a data scientist or related role. We are looking for our third Data Scientist. Experience as one of the first data scientists at an early/growth stage company.
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Owning core SQL and python data pipelines that power our data lake and data warehouse. We use tools like DBT, Airflow, Redshift, ElasticSearch, Atlan, and Retool to orchestrate data pipelines and define workflows.
$187,200 - $280,800 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity using at least one column oriented database/data warehouse (i.e. BigQuery, RedShift) Comfortable collaborating with data scientists, product managers, machine learning engineers, and systems engineers.
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Experience with Databricks, Alteryx, Data integration, Data Masking tools, Access Management and Data Governance tools. Experience in developing an end-to-end AWS native platform for building Data lakes (S3, Glue (Crawlers, ETL, Catalog), IAM, CodePipeline, CodeCommit, CloudFormation (or Terraform), CloudTrail, CloudWatch, AWS Config, Guard Duty, Secrets Manager, KMS, EC2, Data Visualization Tool: Tableau run on an EC2 or AWS Quicksight), Athena.
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As an HR Data Analyst, you will play a pivotal role in leveraging data to drive strategic HR decisions and enhance Lambda's organizational effectiveness. As the HR Data Analyst, you will be responsible for gathering, analyzing, and interpreting HR data to provide actionable insights and support HR initiatives.
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Leverage Spark, Airflow, Apache Beam, Google Kubernetes Engine, BigQuery and other tools to build robust and efficient data pipelines. Deep experience with data frameworks and tools like Spark, Spark Streaming, Apache Beam, and Airflow.
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The Data Engineering team in Uplift is building up the next-generation data lake on Databricks to support all data use cases, ranging from business intelligence to machine learning operations.
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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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Worked closely with Data Warehouse, ABAP, Basis and other teams in design and implementation of SAP CRM sales functionalities. Understand & perform SAP CRM & hybris configuration including Customer/User master data, Catalog Management, Content Management, Workflows, Promotions/Vouchers, Shopping Cart & checkout, Search and guided navigation, Returns Management, Payments, Customer specific Pricing, Sync & Async Order Mgmt with SAP etc.
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Experience with GCP products such as BigTable, BigQuery, Dataproc, PubSub or other data tools like Kafka, Hive, or Apache Beam. Project categories: besides product requests and enhancements, we work on projects in performance and cost optimization, security and legal compliance, reliability and quality initiatives, as well as architectural refreshes such as POC in restructuring our data to be more streaming/real time friendly, new REST API for relevant services, migration of apps to Spark, Parquet, and other new technologies that could make our processing faster, more scalable, maintainable and cost effective.
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Our data warehouse is built using tools like BigQuery, Airflow, and dbt. We’re looking for a Data Engineer to help us maintain the foundation of our data warehouse and create an opinionated structure to our data model that can set the standard for our embedded analysts to expand.
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This role will report to the Chief Technology Officer and be responsible for leading a team of data analysts and scientists. The ideal candidate is someone who has a prior record of managing teams, executes company-wide data strategy, and loves the intensity of a high-growth startup.
$200,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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As a DS II on the Integrity team, you will leverage data and automation to help Tinder solve impactful product and engineering problems such as understanding the impact of our user facing features, and creating metrics to better quantify the user experience.
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data warehouse jobs Title: data scientist Company: Jobot in San Francisco, CA
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