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We are a premier IT consulting firm specializing in delivering top-tier Data Science solutions to companies across various sectors such as finance, energy, e-commerce, logistics, travel, retail, entertainment, automotive, and healthcare.
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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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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) Bachelor's degree in Computer Science, Applied Mathematics/ Data Sciences/ Data Analytics or related discipline required, advanced degree preferred.
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Proven experience in large-scale data science and/or computational biology. They will have a deep background and track record in data science and programming, with exceptional organization and communication skills.
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Develop the enterprise’s capacity to develop insights with advanced analytics such as data science, natural language processing, AI/ML, network science etc. At least five (5) years of professional experience in institutional research leadership and conducting outcomes assessment and/or applied social science research (quantitative, qualitative, mixed- and multi-method) preferably in a higher education setting and including three (3) years of team supervision.
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In partnership with the Data Science team, manage bioassay data integration into the Flare data management platform (supporting early hit finding through DC candidate identification) and help lab scientists analyze and report project data efficiently.
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We are seeking a rock star Senior Data Scientist to join our Risk Data team within the Ecosystem Fraud Team at Square. Create and maintain ETLs and data pipelines for continuous data integration and analysis.
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Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Communication, Curiosity, Data, Data Analysis, Design of Experiments (DOE), Detail-Oriented, Drug Development, Drug Discovery Process, Ethics, Gene Therapy, Group Problem Solving, Immunology, Inventory Management, Laboratory, Large Group Presentations, Leading Project Teams, Life Science, Machine Learning (Ml), Medical Research {+ 9 more.
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We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology.
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Master's degree in a related field (e.g., Higher Education Administration, Educational Research, Data Science); The Assistant Vice President for Institutional Effectiveness will translate complex data into actionable insights, thereby empowering various departments, including academic affairs, student affairs, student services, finance, and facilities, to make data-driven decisions.
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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Bachelor's degree in Analytics, Computer Science, Statistics, Economics, Mathematics, or related field.
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Principal Scientist – Materials Science – LA, SF or MA. PhD in Life Sciences/Chemical Engineering/Life Science with specialization in upstream processes, or multiple years in the manufacture of pharmaceutical plastics.
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Health Care Professional degree required (e.g., RN/BSN/MSN, NP, PharmD) and 8+ years of pharmaceutical industry experience in drug safety & pharmacovigilance as a Safety Scientist for products in the clinical trial and post-marketing environments or MD with 4+years of clinical experience and 6+years of pharmaceutical industry experience in Safety Science, Clinical Development, or Clinical Research is preferred.
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Our investment ecosystem and scale allow alternative investors to partner with world class investment research experts across fundamental equity, credit, fiscal/monetary economics, derivatives, rates, risk, data science, climate, sustainability, and many others.
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Experience with cloud-based data storage, analytics & data science platforms. Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake) Strong skills with Database management, Data modeling and design DevOps and Security CI/CD, Serverless compute, OAuth, SSO, MFA etc.
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data science jobs Title: data scientist Company: Jerry in Boston, MA
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