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Excellent programming knowledge and experience with cloud computing and command line expertise in R, SQL, Perl, Python and proficiency in Linux environment. Ph. D. in computational biology, bioinformatics, biostatistics, computer science, or similar discipline with 6+ years of experience in pharmaceutical R&D or M.S. with 12+ years of experience or B.S. with 14+ years of experience.
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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Experience with a variety of flow cytometry data analysis and bioinformatic tools, including FlowJo, FCS Express, OMIQ, Cytobank and/or programming with Python or R. The Flow Cytometry group is part of Dynamic Omics/ Centre for Genomics Research (CGR) and Discovery Sciences within AstraZeneca and works across all therapeutic areas including Oncology; Cardiovascular, Renal and Metabolism (CVRM); Respiratory and Immunology (R Vaccines and Immunotherapies (V Neurosciences, and Rare Diseases.
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Proficient in SQL, Python, and data visualization tools like Looker or Power BI. Conduct regular reviews and audits of the data architecture to ensure alignment with evolving business goals and technology advancements.
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Maintain awareness of marketplace activities, policies, trends, technology, new data sources and information affecting the business and organization to drive continued improvement of Genomics driven biomarker data.
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Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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Technical proficiency in Python, SQL, and Intex API is preferred. This requires extensive due diligence of sponsors, originators, servicers, and data providers. Proficient in Intex and proven ability to independently create cash flow models for complex RMBS transactions.
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Design, develop and deliver scalable, robust and highly re-usable components using technologies such as Python, Java, AWS serverless (Lambda, Glue), Apache Spark, Apache Kafka and REST. Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink.
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The position combines traditional technical data analytics work, including the use of SQL, Excel, Hive, R/Python, with the “softer” part of data science storytelling with data.
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Strong programming skills in Python, R, or other relevant languages. For more information, check out the "About Us" section. Data Science Management, Director Data Science, Director of Data Science, Director of Engineering, Senior Director of Data Science, Senior Director Engineering, Manager Data Science, Manager Engineering, Artificial Intelligence Management.
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Identify and analyze new fraud detection features using SQL, Databricks, and Python. High proficiency in SQL and Python. We are seeking a rock star Senior Data Scientist to join our Risk Data team within the Ecosystem Fraud Team at Square.
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We’re interested in self-motivated and passionate leaders with a strong vision and desire to stay on the cutting edge of data technology and science. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
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The Cell and Gene Therapy (CGT) Commercial Technology team in the Data, Technology and Engineering (DTE) function is seeking a passionate and customer-focused IT professional to lead our CGT Commercial Technology engagements with our growing network of global Authorized Treatment Centers (ATC’s.
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Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. Experience working on data bases (SQL and NO SQL) such as MS SQL, ORCALE, MY SQL, Cassandra, Mongo DB etc.
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Requires a Bachelor’s degree from an accredited university or college in Medial Technology or Clinical Laboratory Science which includes successful completion of a supervised course of clinical internship in an approved hospital laboratory, or a Bachelor’s degree in an applied science (Chemistry, Biology, Biochemistry.
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information technology python sql r jobs Title: data scientist Company: Kunai in Boston, MA
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