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Bachelor s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Software Engineer/Developer (or closely related occupation) automating Java APIs, AWS Serverless solutions, and Angular front-ends using Selenium and JEST in a financial services environment.
$150ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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They will act as a translator, champion and ambassador of our data platforms, connected data products, analytics, tooling and capabilities across IT. They will possess data and technical skills, strong pragmatic leadership abilities and a deep understanding of data management and governance principles and technologies.
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With a bridging seat on the leadership team of DSI, the Head of Computational Science & Data Strategy, Research, ensures a seamless connection with the data infrastructure and governance responsibilities of DSI and its responsibility for enterprise data solutions in partnership with Takeda’s corporate Data & Technology function.
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PHD candidates in Engineering/ IT/Computer Engineering/Computer Science/Bioinformatics or related discipline with relevant with a minimum of 3 years of experience in software development and pipeline automation in the pharmaceutical and/or biotech industry.
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PhD with 4-6+ years’ experience or MS with 6-10 years’ experience in the pharmaceutical / biotechnology industry or healthcare sector, with joint experience / degree in Computer Science, Medical Informatics or Bioinformatics.
$200,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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A bachelor's degree in Engineering/ IT/Computer Engineering/Computer Science/Bioinformatics or related discipline with a minimum of 7 years of experience in software development and pipeline automation in the pharmaceutical and/or biotech industry.
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PHD candidates in Engineering/ IT/Computer Engineering/Computer Science/Bioinformatics or related discipline with relevant with a minimum of 1 years of experience in software development and pipeline automation in the pharmaceutical and/or biotech industry.
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The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education.
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Key Responsibilities: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Familiarity with data quality and data governance principles. Proficiency in design and build of data pipelines for sourcing, staging, publishing data using Databricks in Azure or AWS. Strong ETL development skills and experience with data integration tools.
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A strong background in statistics, biostatistics, computer science and/or computational biology is required; and specifically, experience with analyzing high-dimensional datasets, such as whole-genome sequencing, multi-omics data, and electronic health records, is preferred.
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PhD in Bioinformatics, Computational Biology, Computer Science, or related field. Master's Degree in Bioinformatics, Computational Biology, Computer Science, or a related field.
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Alternatively, the employer will accept a master’s degree, or its foreign equivalent, in Computer Information Systems, Information Systems, Computer Applications, Computer Science, IT, Analytics, Computer Engineering, or a related engineering/computer/analytical field plus 5 years of professional experience as a Systems Engineer/Developer, Business Intelligence Analyst/Developer, in the job offered, or in other positions involving business intelligence.
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Master's Degree in A bachelor's degree in Engineering/ IT/Computer Engineering/Computer Science/Bioinformatics or related discipline with a minimum of 5 years of experience in software development and pipeline automation in the pharmaceutical and/or biotech industry.
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Bachelor’s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Information Management, or a closely related field and three (3) years of experience as a Senior IT Data Analyst (or full stack engineering or closely related occupation) performing data analysis and modeling using SQL, PL/SQL, and Python in a financial and brokerage services domain.
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Pursuing a degree in Computer Science, Data Science, Engineering, or similar field. Experience, or desire to learn, data science techniques, including data tidying, scripting in R or Python, and visualization through Excel, Python, R, JavaScript, or Tableau Experience, Google Cloud or desire to learn, web programming, including React, Svelte.
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