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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations.
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Preferred Requirements/QualificationsMaster's or PhD degree highly preferred with 5 to 6 years of Machine Learning or Data Science experience in Technology companies, Life Sciences, Pharma or Biotech.
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Build AI Solutions: Lead a team of data scientists working with machine learning engineers to build AI solutions leveraging traditional machine learning models as well as modern Generative AI and LLMs. These solutions will be both internal employee-facing and external customer-facing.
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Ability to apply statistical and machine learning techniques to large clinical variables and OMIC data setsExperience in Programming with R, Python, MATLAB, and/or Java that focus on computational biological applications for clinical dataPrepare detailed quality control report workflows for evaluation by principal investigators and other staff members.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark.
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Proficiency in data visualization tools (, Tableau, Salesforce CRMA), SQL and SAQL, and statistical analysis software (, R, Python). Position Summary: The Reporting & Data Analyst in the Fundraising Division at Brandeis University Institutional Advancement is responsible for providing advanced data analysis, reporting, and actionable insights to support the university's fundraising goals and strategic initiatives.
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. Solid software development skills including experience in R, Python and SQL. Knowledge of Database design and query optimization a plus.
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As a member of our Machine Learning Research team, you will design new approaches to derive insights from Pfizer's proprietary data and external datasets to generate testable hypotheses across the drug discovery continuum with a focus on extracting biological knowledge.
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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics. Experience with machine learning techniques and tools including deep learning, reinforcement learning, and unsupervised learning.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company.
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Key Responsibilities: Lead the engineering team in designing, developing, and deploying solutions applying modern web frameworks, machine learning solutions, data engineering technologies, microservices, and cloud-native architecture.
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Experience with data visualization and web development software including but not limited to Tableau and PowerBI.Experience with web development platforms and coding applications such as python, JavaScript, Java, or R. Experience in communications and/or graphic design a plus.
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The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step- change in our ability to leverage data, knowledge, and prediction to find new medicines.
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The Director, R&D Quality, GCP works directly with the RDQA and Quality Leadership Team to elevate overall CGT capabilities, compliance understanding and expertise by supporting the development of a CGT Center of Excellence that promotes education, awareness and fit-for-purpose tools, templates, libraries and training materials to grow and develop the bench to become experts and specialists in this space in support of optimal onboarding, training, learning and development.
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machine learning python r jobs Title: data reporting analyst in Boston, MA
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