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Bachelor's or Master's Degree in Data Science, Computer Science, Computational Chemistry, or related relevant discipline typically with 5 to 10 (BS) or 2 to 5 (MS) years related industry experience.
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Job Title: Data Scientist (Computational Scientist) computational tools and machine learning/deep learning techniques to analyze and interpret complex biological data relevant to drug discovery.
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Experience Requirement: 2 years of experience as a data scientist, data analyst, market risk analyst, financial analyst or related. Job Title: Data Scientist. Educate others on predictive analytics and statistical based data science techniques.
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One of our clients, global pharmaceutical company is looking for an enthusiastic Senior Data Scientist. Senior Data Scientist. Data Science tools like Knime, Dataiku, AWS SageMaker, statistical languages, and packages, e.g., R, Python, Julia, SAS, data visualization tools and techniques, e.g., Tableau, ggplot, matplotlib, R/Shiny, Qlik, data manipulation tools such as SQL, Spark, PySpark and Hive, cloud environments like Azure and AWS, deep learning tools such as Tensorflow, Keras and PyTorch.
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Job Description:The Data Scientist II is responsible for optimizing and deploying business processes and technology solutions within DSS in support of the portfolio. A technical and innovative role that partners with statistical programming, clinical analytics, standards, statistics, data science and information technology experts to implement.
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We are seeking a highly motivated and experienced data scientist to join the Bioinformatics team within the Genomics Research Center (GRC). Our team is dedicated to identifying and interpreting genetic signal at the scale of thousands of phenotypes and millions of individuals, making the knowledge gleaned from genetics accessible to AbbVies R&D community, and using data science and machine learning to maximize the value genetics brings to AbbVie.
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Marketing Data Scientist Brunswick is seeking a highly analytical and data-driven data scientist to join our team. Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis software (e.g., SAS, SPSS.
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Optimize the quality, efficiency, and depth of insight generation from clinical biomarker data to support faster data-driven decision-making and to empower Precision Medicine Scientists in the future strategic planning for our assets.
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Bachelors degree plus 8+ years experience as Data Scientist OR in related field (Statistics / Operation Research) OR as System Architect / Enterprise Architect. Analyzes, designs, develops, implements and maintains data science constructs, algorithms, programs, Statistical / Machine Learning Models, decision support system, Artificial/Augmented Intelligence systems using structured, unstructured, diverse big data sources of from measurement systems, IoT, human observations to provide real life business problem solutions and product features/ enhancements.
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Qualifications: Bachelor’s or Master’s Degree in Data Science, Computer Science, Computational Chemistry, or related relevant discipline typically with 5 to 10 (BS) or 2 to 5 (MS) years related industry experience.
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Experience using and/or comparing commonly used methods in genetics/genomics (e.g., genotyping data, whole exome sequencing, whole genome sequencing). The ideal candidate will cover the growing responsibilities of this team, including statistical and machine learning analysis in large biobank studies with over 1 million genomes, and integration of genetics and real-world data for drug target identification, disease risk assessment and patient stratification.
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Leverages emerging statistical methodologies, ML and AI to drive innovative analytical solutions to create insightsEnables data-driven insights to support clinical development continuum, including precision medicine; Responsible for coaching and mentoring junior team members.
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Entry-Level Data Scientist Engineer - US/Canada - 1+ Year - Full-time. Strong knowledge of R or Python for data analysis and modeling. Basic experience in computational finance, econometrics, statistics, and math.
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Position Details: We are looking for Manager, Data Science with a passion for using data and quantitative methods to provide tangible, long-term monetary benefits to our organization. You will lead a team of analysts that solve complex, data intensive problems.
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Proven experience as a Data Scientist or Data Analyst. BSc/BA in Computer Science, Engineering, or relevant field; a graduate degree in Data Science or another quantitative field is preferred.
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Title: data scientist in North Chicago, IL
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