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Devising solutions to largely-undefined data engineering and data science problems. Experience with data warehousing (e.g., Databricks, Snowflake, Redshift, BigQuery, or similar.
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Experience with value-based care analytics and data science. Deliver analytic and data science products - from business intelligence to analytics to predictive modeling - within the health care data domain (e.g., clinical outcomes, clinical quality, cost of care.
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The Verantos Evidence Platform leverages data science and artificial intelligence (AI) along with advanced data sources such as electronic health records (EHR) to generate RWE capable of supporting complex clinical studies in areas such as market access, HEOR, medical affairs, and regulatory engagement.
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As part of the Capgemini Invent team, the Managing Data Scientist/Data Science Senior Manager will support our business by performing strategic and tactical analyses to derive insights, trends, conclusions, and actionable recommendations leveraging various data sources such as longitudinal clinical and claims, healthcare provider interaction, social determinants of health (SDOH), wearables/IoT data, weather, and other exogenous data sources.
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10+ years of experience in data engineering, data science, and software engineering. Experience with Databricks, Alteryx, Data integration, Data Masking tools, Access Management and Data Governance tools.
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The Manager of Data Science and Analytics role will report to the Chief Technology Officer and be responsible for leading a team of data analysts and scientists. Experience in designing and executing data science roadmaps, successfully delivering high-impact analytics and insights.
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The Remote Sensing team is seeking a Geospatial Analyst with proven geospatial analytical and research skills in support of a major satellite mission to assess methane emissions with a focus on global oil and gas sector using geospatial data and analytics.
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The Sustainability Analyst will work cross-functionally to gather and analyze the company’s environmental sustainability data and will support the calculation of our annual carbon footprint, automation of emissions data collection and analysis, and 3rd party assurance against prevailing standards (i.e. Greenhouse Gas Protocol, Science-Based Target Initiative (SBTi), etc.
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Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, AI applied to chemistry or material science, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
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Partner closely with Data Science, Finance, Product Operations and CX to understand small business problems and business goals. We are looking for a Product Manager to partner with Data Science and Finance and own Parafin’s funding decisioning and payments experiences.
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Education - Bachelor's degree in Molecular Biology, Biology, Chemistry, Applied Mathematics, Physics, Electrical Engineering, Computational Biology, Biostatistics, Bioinformatics, Computer Science or related discipline; postgraduate degree (Master's, PhD) is highly preferred.
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The Senior Medical Science Liaison has the primary responsibility of building key opinion leader (KOL) partnerships by engaging in the exchange of scientific data and other medical and/or scientific information with external stakeholders (HCPs, researchers, professional organization leadership, patient advocacy groups, and formulary decision-makers) in the assigned Therapeutic Areas (TAs)-Respiratory (COPD/Asthma) across the aligned geography.
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Post-graduate residency training along with 3-5 years clinical experience relevant to the Therapeutic Area-Respiratory (COPD/Asthma) assigned to the prospective candidate (exception for PhD candidates with requisite experience.
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Bachelor's or Master's degree in Computer Science or equivalent, with over 12 years of Data Architecture and Data Engineering experience, including team leadership. Our team is responsible for enabling Hims & Hers business (Product, Analytics, Operations, Finance, Data Science, Machine Learning, Customer Experience, and Engineering) by providing a platform with a rich set of data and tools to leverage.
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Work on interesting challenges - novel interfaces for data visualization/ interpretation and editing raw data directly - using a modern tech stack at a dynamic startup operating in one of the fastest-growing subfields of data science & AI.
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data science jobs Title: data architect Company: Applied Materials in San Francisco, CA
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