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Collaborates with NPM's staff across Clinical Science, Digital Health, Software Engineering, Data Science, and Informatics to detail AI model functionality and requirements to significantly increase efficiency in the areas of document control, clinical information extraction, information synthesis and clinical note preparation.
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The Data Science/Applied Science team supports MCM's growth by supporting the launch of new features through modeling, algorithmic and analytical excellence. 6+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master’s or PhD in a quantitative discipline with 4+ years of experience.
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Experience in applying Client analytical or computational (machine learning) technique and data science expertise to integrate and mine large complex data is a plus. · Candidates should have a doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years/ master’s degree with at least 5-7 years/BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia.
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Department: DS/ML (Data Science/Machine Learning) Advancing BigHat therapeutic programs through ownership of the entire data science life cycle from experimental design through data analysis and modeling, including implementation of novel antibody design strategies, development of robust data pipelines for assays of antibody function and developability, and data-driven improvements to our statistical and ML models.
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The Computational Biology group in the Clinical Biomarkers & Diagnostics (CBD) department at is seeking a highly motivated Sr data scientist to join our team and contribute to develop machine learning modeling and prediction pipelines using multi-modal biomarker data from clinical trials.
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Relevant experience in data science, biostatistics, machine learning, clinical/health outcomes research, digital health and wellbeing assessment, in academic or industrial settings.
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We use data science, genomics, synthetic biology and automation to discover potent, evolutionarily refined small molecules and their cognate targets from fungal genomes, and apply medicinal chemistry when needed to optimize these molecules into truly transformative medicines.
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In this role, you'll play a key part in Robinhood's forward trajectory, collaborating closely with our adept Data Science and Engineering teams. Advanced Degree: Master's or PhD in Computer Science, AI, Linguistics, or related fields, with a focus on machine learning and natural language processing.
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Build data science / machine learning models using internal and external data sources to identify potential new customers, those who are at risk of churn or those with potential upsell opportunities.
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Reporting to the Senior Director, People Science and Analytics, you will join an outstanding group of people, learning, and data scientists who are passionate about collecting and using qualitative and quantitative data to guide decisions and to craft and support Roblox's approach to leadership, people development, and organizational design and culture.
$206,190 - $270,270 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Independently analyzing data and generate appropriate graphs/images/statistics using software such as Prism, Spotfire, JMP, etc. The Investigative Toxicology group provides fit-for-purpose wet lab-based experimental approaches to address target safety assessment, lead optimization, and issue mitigation by employing state-of-the-science in vitro and ex vivo approaches.
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Leading research institutes and biopharmas are using the MIBIscope in immuno-oncology, immunology and neuroscience research where high-fidelity multiplexed imaging data is needed. 5+ years experience as a Field Service Engineer or Field Applications scientist in a related field.
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This individual will have a broad surface science background and be able to apply these skills in diverse areas such as biochemical/surface interactions, process development, assay development for surface characterization, data analysis, etc.
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Leadership & Strategy - Spearhead the computational biology and data science team towards achieving critical innovation aligned with Karius' strategic goals. We are seeking an exceptional Director of Computational Biology to lead our seasoned team of computational biologists and data scientists.
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Insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. The heart of insitro's strategy is the combination and application of machine learning to disease biology at scale, and novel analyses from clinical and cellular datasets that address key shortcomings in the target discovery and drug development process.
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data science scientist learning jobs Title: science director Company: Liberty Mutual Insurance in San Mateo, CA
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