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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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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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Perform exploratory analysis using data science techniques on structured and unstructured datasets and develop algorithms for early drug discovery efforts. You may have experience with Spotfire, Tableau or other data visualization platforms.
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Bachelor’s degree in computer science or similar field with 10 years' experience as a data engineer, Database Administrator, or software developer. Implement and configure big data technologies as well as tune processes for performance at scale.
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Develop and execute strategies that maximize the value of data science applications (e.g. in AI/ML, Computational Chemistry, and Biology). Moreover, this embedding with DSI nurtures fertile Research and Development collaborations that leverage DSI’s excellence in quantitative pharmacology, biostatistics, and big data.
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The Data Scientist will collaborate closely with product, operations, engineering, data science, and clinicians to provide best in class analysis of oncology care pathways and contribute to technical product requirements with supervision from senior scientists.
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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.
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Exposure to data science best practices including reproducibility tools (git, conda environments, docker, virtual machines), dashboard visualization (Tableau, R Shiny, D3), analysis narrative tools (jupyter, R Notebook), and graphing tools.
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Here at the Open Data Science Conference we gather the attendees, presenters, and companies that are working on shaping the present and future of AI and data science. Leverage data integrations using systems such as AWS Athena, Redshift, Cognos, SharePoint and Power BI Services among other technologies.
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At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Experience with orchestration tools such as Airflow, Dagster, or Prefect, with big data tools such as Kafka & Spark, and with dbt. Driving Results : Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python, SQL (using dbt for transformation), commercial SaaS and OSS offerings, and the entire AWS suite of technologies.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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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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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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computer science big data jobs Title: associate professor assistant in Boston, MA
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