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Ph. D. in Bioinformatics, Computational Biology, Computer Science, Genetics, Physics, or related field, with hands on experiences in NGS data analysis. Have a proven track record across a wide range of computational biological methods, including but not limited to: next generation sequence data analysis, especially bulk RNAseq and scRNAseq, and data mining.
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Cash App is hiring a Staff Data Scientist to establish and scale a first line risk management program. Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc.
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We are looking for a Data Scientist to partner with our Go-to-Market teams to accelerate growth at Figma. Experience in distributed data processing systems (Hive, Redshift, Presto, Snowflake, etc.
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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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Genentech's Access Technology and Infrastructure Department (ATI) department is looking for a new Business Systems Analyst to develop, support, and perform ad-hoc analysis using our cloud-based solutions on Amazon Web Services that utilize our internally developed Master Data Management Solution called C3AE (Channel, Contracting, Customer Access.
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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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Experience building data warehouse, data lake and data pipeline using Google Cloud Platform (GCP) We are seeking a Senior Staff Data Engineer in our Ads Engineering team, crafting ground breaking mobile advertising technologies to build the next generation of our Ads Platform.
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At Candid Health, we’re searching for our first Data Engineer to design, build, and support our next generation of data infrastructure. We’re rethinking medical billing from the ground up, building software backed by best-in-class data science (and, soon, a dash of machine learning) to automate much of this complexity so healthcare providers can get paid dramatically more easily and inexpensively.
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Enable curated data foundations through Master Data Management, Data Quality & Lineage, Catalogue, Governance, Data Mesh & Data Virtualization with these technologies: Informatica, Collibra, Stibo, Riversand, Ab Initio, and others.
$137,700 - $229,500 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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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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The Computational Biology group in the Clinical Biomarkers & Diagnostics (CBD) department at 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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Sidekick is an open source ETL framework for syncing data between SaaS tools (Salesforce, Zendesk, Notion, etc) to vector stores, a necessary step in building GPT powered applications. You ideally have a background in data engineering and should be just as comfortable making architectural decisions as implementing them in code.
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Own and evolve the core of the data pipeline and lifecycle at Directly, whether that involves growing the data model and schema, or implementing systems for data quality and furthering data management through ETL, or improving the efficiency of data ingest.
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Identify opportunities to leverage technology to improve ability to compile, analyze, and report item creation and data (e.g. smartsheet, access, excel, JDE, Cantor, AQ, etc.) Implement data governance processes for item master data maintenance.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake, Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
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data job Title: data scientist Company: Jobot in San Francisco, CA
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