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As a Data Science Senior Manager, you will have end-to-end ownership of custom models, algorithms, and other data products that feed directly into TRM’s UX. In collaboration with a highly skilled team of engineers, data scientists, and research scientists, your goal will be to uncover valuable and defensible information that can be used to detect, prevent, and mitigate cryptocurrency fraud and financial crime.
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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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Our work combines genomics, proteomics and state-of-the-art imaging technologies with software engineering, machine learning and data science. The candidate will work in a team-science environment collaborating closely with experts in genomics and cell biology as well as software engineers and other data scientists in the team.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomics & Mass Spectrometry), Infectious Disease , and Quantitative Cell Science.
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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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An Advanced Degree (or equivalent knowledge/training) in Bioinformatics, Computer Science, Data Science, or related field. A Bachelor’s Degree (or equivalent knowledge/training) in Bioinformatics, Computer Science, Data Science, or related field and a minimum of 8 years of demonstrated success implementing and maintaining large scale genome sequence data analysis systems with large complex technological programs or an equivalent combination of education and experience.
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Experience working with cross functional teams (Data Science teams a plus) Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products.
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Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomic Sequencing, Mass Spectrometry/Proteomics), and Research Group Leaders.
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Proactively evaluate the clinical implications of safety data from pre-clinical studies, clinical studies, literature and other information sources to predict / establish the safety profile of compounds in clinical development, including employing expert groups and methodologies, Safety Science, Informatics expertise, modeling and simulation to manage the risk to patients, including close interactions with clinical pharmacology.
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Our areas of expertise include remote sensing, geospatial analysis, GIS, soil science, water quality and demand evaluation, agricultural systems, salinity and nutrient management, ecosystem restoration, statistics, and regulatory policy.
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Who You Are PhD degree in a relevant field computer science, computational biology, bioinformatics, molecular biology, cancer biology, genomics). The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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The Cash App Data Science (DS) organization is growing and we are looking for a Data Scientist to join the team, embedded within our Sales and Account Management domain. A graduate degree in statistics, data science, or similar STEM field with 6+ years of experience in a relevant role.
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Introductory knowledge of IT & Security concepts: Malware Analysis, Web Firewall, Scripting/coding, SIEM, Vulnerability, SAML, Cloud IaaS (AWS, GCP or Azure), Phishing, Data loss Prevention, Network Security.
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Collaborate with cross-functional teams, including Design, Engineering, Product Marketing, and Data Science, to execute the product strategy. Analytical skills: You have a great ability to absorb and apply data to your decision making.
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data science jobs Title: science director Company: Capital One in Brisbane, CA
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