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Your expertise in Python/R, SQL, Power BI, Power Apps, Advanced Analytics, and Databricks will be essential in this role. Familiarity with Databricks for big data processing and advanced analytics.
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Python programming environment and applications in Natural Language Processing (NLP) and Machine Learning (ML). Design, develop and teach workshops on data visualization using Tableau, Python, R, and other related tools.
$117,150 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations.
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Expertise in programming languages (e.g. Python, R, SQL, JavaScript), version control, and other data science related tools (e.g. Shiny, D3, AWS, dbt). Our enterprise-wide data science, data engineering and product team is looking for a data scientist with experience in natural language processing and a passion for addressing business needs through data analysis and solutions.
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At least 6 months of experience with either Python, R or SQL. Current PhD - Data Science Internship - Summer 2025. If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey.
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Ph. D. in computational biology, bioinformatics, biostatistics, computer science, or similar discipline with 6+ years of experience in pharmaceutical R&D or M.S. with 12+ years of experience or B.S. with 14+ years of experience.
$234,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ph. D. in computer science, data science, computational biology, systems biology/immunology, bioinformatics, or other related fields. Atomic Lab ( at the National Emerging Infectious DiseasesLaboratories, Boston seeks a Postdoctoral Fellow with a background in AI, data science and bioinformatics.
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Proficient in operating personal computers and applicable word processing, spreadsheet, and statistical analysis applications, specifically MS Excel or other data analysis and visualization tools, such as R, Python, or Tableau; excellent written and oral communication, facilitation, and public speaking skills; excellent data analysis, database development and management, strategic thinking, problem solving, leadership and project management skills.
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Knowledge of Power BI, SQL, Python, R, DAX, Databricks, Power BI Paginated Report Builder, and DevOps. Master’s degree (or foreign equivalent) in engineering, computer science, mathematics, statistics, or related technical field; plus 3 years of experience in job offered or asset operations analysis in renewable energy industry.
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Relevant analytical/programming experiences in the life science industry, including: Proficiency in processing and manipulating large data in SQL and Python/R/SAS and Excel (Power Query, VBA.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Advanced experience in programming tools such as SAS, R, PL/SQL, Perl, Python, etc. 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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6+ years of industry experience in drug R&D in pharma/biotech or life science-related industries with past experience involving both technical and strategic leadership High proficiency in developing and/or implementing AI/ML models in Python and R, particularly generative protein design, knowledge graphs and semantic modeling and inference, supervised/unsupervised learning, and LLMs. Experience with ML frameworks for deep learning (, tensorflow, keras, MXNet) & cloud platforms.
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Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS); Program, build models, and perform regression analyses using languages such as Excel, Stata, R, Python, SQL, or SAS.
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Leverage technology such as Python, AWS, Django, Kubernetes, Bash, Terraform, MySQL, Redis, Cassandra, PostgreSQL to advance Klaviyo’s platform. As a Lead Site Reliability Engineer, you will own foundational Klaviyo services and make a big impact on the productivity of our product engineering teams.
$288,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
big science processing r python jobs Company: Pwc in Cambridge, MA
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