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What You'll Do: DISC is seeking to fill a 2 year renewable staff scientist position at Data Scientist III level. The Data Scientist III will work independently, but in close consultation and in cooperation with Senior Scientists.
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We are looking for a Data Scientist to join our Risk Data Science and Analytics Team. You will improve our risk controls through advanced statistical and analytical techniques. The Risk Data Scientist will identify and prevent fraud on our most valuable sellers.
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The ALM Data Scientist will design and build securities, loan and deposit exposure and pricing models used in asset/liability management (ALM). The Data Scientist will make strategic recommendations on forecasting, risk management, and macroeconomic outlooks for balance sheet management.
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Job Description Data Scientist Location: Waltham, MA Get To Know The Team: Your deep experience with artificial intelligence, NLP, language models and advanced analytics is matched by a passion to build great products, lead innovation, be a mentor and guide to other Engineering team members.
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Responsibilities are interchangeable within job titles of medical laboratory scientist (MLS), medical technologist or clinical laboratory scientist. OPEN TO BOTH - Medical Lab Technician [2 year MLT degree ] or Medical Lab Scientist / Medical Technologist [4 year BS.
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We are seeking a highly motivated data scientist to join the Translational Discovery group. More specifically, this person will participate the design of genomic studies in preclinical and clinical research, implement cutting-edge informatics and statistical methods and tools to analyze the data including WGS/WES/targeted sequencing, RNAseq, proteomics data, metabolomics data, etc, and perform integrative analysis of genomic data and available clinical data in clinical trials.
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Matchpoint Therapeutics is looking for an exceptional scientist who can develop and integrate cutting-edge data science solutions in collaboration with other scientists and engineers. This person will work closely with colleagues from both the proteomics and the computational sciences teams to identify opportunities to apply data analytics and machine learning techniques to enhance Matchpoint's technology platform by contributing to both our chemoproteomics platform and our drug discovery pipeline.
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Proficiency in data analysis and graphing software including Graphpad and Excel. The “Archer” platform has been established from foundational work at our academic co-founder Dr Chory at Duke. We seek to deploy this technology against intracellular protein-protein interactions (PPIs) which are too large for small molecules and inaccessible to biologics.
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The Principal Scientist, Computational Biology leads the development and deployment of computational methods for NGS-based clinical diagnostic assays in our clinical labs. Experience developing algorithms and tools for analysis of large data sets, including prior experience with genomic and NGS data.
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The Senior Scientist, Assay Development will work as part of a new product team, focused on improving blood-based cancer diagnostic capabilities in areas such as cancer detection, minimum residual disease, and other related applications.
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The role will require interactive, effective communication to provide clear data and bioanalytical strategy guidance to innovation project team representatives. Ability to present data to a broad range of audiences credibly and engagingly.
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Review and analyze technical data from multiple sources to assess potential risks and compliance with current regulations. Strong data management experience. Masters degree in Materials Science, Polymer Chemistry, Biomedical Engineering , Biochemistry, Chemistry, or other medical related discipline.
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Represents GBS Data Governance in enterprise workgroups and data steward communities of practice. Serves as Data Steward as part of an Agile team dedicated to Claims Transaction data operations & initiatives.
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Position Title: Clinical Data Scientist. Design, develop, and modify data infrastructure and templates to help scientist accelerate the processes of data analysis and reporting.
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Ability to independently analyze proteomics data using commercial software packages (e.g. ProteomeDiscoverer, MaxQuant, FragPipe, Spectronaut) To reach this goal we are creating the industry's first generative covalent chemistry platform foundationed on merging AI with a massively scalable proprietary data generation paradigm that will programmably create actionable covalent small molecules targeted to any protein class.
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Title: data scientist Company: Lexisnexis Risk Solutions Group in Boston, MA
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