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Background in a relevant scientific area, such as drug discovery, therapeutic development, computational chemistry, computer vision, statistics, artificial intelligence, modeling, simulations computational genomics or biology, statistical genetics, data science, chemistry, or biology.
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Alternatively, the employer will accept a master’s degree, or its foreign equivalent, in Computer Information Systems, Information Systems, Computer Applications, Computer Science, IT, Analytics, Computer Engineering, or a related engineering/computer/analytical field plus 5 years of professional experience as a Systems Engineer/Developer, Business Intelligence Analyst/Developer, in the job offered, or in other positions involving business intelligence.
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Insurance, reinsurance, financial, corporate, and government clients rely on Verisk’s advanced science, software, and consulting services for catastrophe risk management, insurance-linked securities and agricultural risk management.
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Masters or PhD. in Chemical Engineering, Bioengineering, Data Science/Engineering, Computer Science, Computer Engineering, or related fields. To develop data analysis applications to automate and improve process development workflows.
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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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Provide internal and external training about preclinical science, clinical data, and outcomes. Accredited doctorate degree in a life-science or basic-science discipline (PharmD, PhD, MD/DO, DNP or DSc.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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Masters degree in Physics, Chemometrics, Chemical Engineering or related pharmaceutical science 6+ years relevant industry experience. Bachelors degree in Physics, Chemometrics, Chemical or Electrical Engineering or related pharmaceutical science and 8+ years relevant industry experience.
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Develop and apply bioinformatics, computational biology, and machine learning tools to generate insights and hypotheses from high-dimensional molecular datasets, with an initial focus on proteomic data.
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A strong background in statistics, biostatistics, computer science and/or computational biology is required; and specifically, experience with analyzing high-dimensional datasets, such as whole-genome sequencing, multi-omics data, and electronic health records, is preferred.
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Requirements:Ph. D. in Computer Science, Bioinformatics, Computational Biology, Statistics, or a related quantitative discipline with at least 3 years experience working on real-world data.
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Experience working with financial data sets like Factset and Bloomberg a plus. Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny.
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The Science Teacher is a member of the school’s Upper Division and reports to the Upper Division Head. This full-time, 10-month position comes with the responsibility of working with faculty and staff to support the school’s mission and curricular goals.
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There are 242 KIPP schools in 20 states plus the District of Columbia educating over 100,000 students on their path to and through college and career. Our promise to families is that their children will enter college and the professional world able to thrive academically due to their literacy, numeracy, and core knowledge in science and social studies.
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Provides ad-hoc programming support to Clinical Operations, Data Management, Statistical Programming, Biostatistics, Drug Safety, Clinical Science, Medical Writing and Drug Safety to ensure rapid access to clinical study data for data cleaning/validation, SAS listings review, TLF, dry runs, etc.
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data science plus jobs Title: science associate in Boston, MA
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