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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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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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Vendor certification (Azure Data Engineering, PowerBI certifications, Snowflake Certifications.) Utilize experience on various BI and data tools like PowerBI, Azure Data Engineering methodologies (ASQL, ADF, ADL, Logicapp, etc.
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The Lead QA Analyst is responsible for testing BI Data solutions and enterprise semantic model, while coordinating the development of these requirements with the Data engineering team.
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Proficient in programming and data analysis e.g., R, Python, SQL. Familiarity with data visualization tools such as Spotfire or Tableau is a plus. Advanced degree in a related field such as Computer Science, Engineering, Mathematics or Quantitative Finance is preferred.
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You will partner closely with the leaders of Onyx’s engineering teams (DevOps and Infrastructure, AI/ML analysis and computing platform, data & knowledge platform, data engineering, UI/UX engineering), along with the Onyx portfolio management team, to deliver industry-leading Data Engineering products that power downstream consumption of petabytes of business-critical data.
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O Knowledge of modern data engineering practices including data pipeline & ETL tools, distributed storage & processing and data warehousing. Your challenges will be varied and may include onboarding new datasets, implementing new trading signals, developing portfolio optimization tools, building data visualization frameworks, enhancing our research platform, and performance tuning existing code using efficient numerical algorithms and cluster-computing solutions.
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Strong understanding of data engineering tools (Spark, Airflow, PySpark, Kafka, Hive, SQL/NoSQL); working knowledge with at least one programming language (Python, Java, Scala. Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for our Data Engineering product portfolio, aligned with the Onyx’s overall product vision and objectives.
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Contribute to the development of a healthy product backlog, collaborating with the Product Manager, Engineering, and Solution Architects to break down business epics, document user stories (to also include things like addressing technical debt, SRE, etc.
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We are looking for a Data Scientist to join our Risk Data Science and Analytics Team. You will improve our risk controls through advanced statistical and analytical techniques. The Risk Data Scientist will identify and prevent fraud on our most valuable sellers.
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Contribution of data visualization and technical writing to scientific reports, manuscripts and regulatory filings supporting Verve’s therapeutic pipeline. Verve is seeking a highly motivated and talented Scientist with experience in implementation, evaluation and application of statistical methods for the analysis of next generation sequencing (NGS) data to join our Computational Biology team.
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Experience with data visualization tools such as Tableau, Looker, Superset, Mode, Preset, Abacum or similar. 2+ years of experience in data engineering, data analysis, business intelligence, or a similar role.
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Experience with data visualization tools (e.g., Spotfire) and advanced analytics techniques (e.g., machine learning) is required. Oversee the implementation of data visualization tools and platforms to empower stakeholders with intuitive access to data insights.
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Move forward data and digital technology and AI efforts in collaboration with engineering and technology team. PhD in chemistry, biology, pharmacy, engineering, or related pharmaceutical science; 7+ years relevant industry experience.
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With its cobblestone streets, elegant brownstones, acres of public greens and gardens and historical attractions, Boston combines the charm of yesteryear with the buzz of a highly sophisticated, modern city.
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modern data visualization engineering jobs Company: Morgan Stanley in Boston, MA
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