Top Data Science Jobs in Madison, WI
The Senior Scientist in Quality Control will oversee testing of samples, review contract testing invoices, analyze and interpret testing results, ensure compliance with regulatory requirements, develop product specifications, and lead continuous improvement initiatives. Responsibilities include authoring technical documents, managing quality control processes, and representing QC as a subject matter expert.
The Associate Principal Scientist in Process Development will lead scientific research for innovation in protein purification and clinical manufacturing, execute experiments using various chromatography techniques, and develop and validate new processes. The role involves writing SOPs, analyzing complex data with statistical software, and mentoring interns while ensuring project timelines are met.
The Associate Scientist I - Quality Control will execute cGMP Quality Control testing, operate basic lab equipment, perform solution preparations, ensure adherence to GMP standards, and conduct routine Environmental Monitoring. This role requires documentation of analytical data and participation in basic laboratory maintenance tasks.
The Scientist II position involves conducting complex analyses of pharmaceutical and biopharmaceutical compounds through sample preparation and analysis. Responsibilities include ensuring compliance with SOPs and GMP, setting up analytical instrumentation, training team members, and performing problem-solving tasks related to extraction and instrumentation.
Assist in designing and executing large-scale fermentations while preparing microbiological media and harvesting _E. coli_ cultures using centrifuges.
The Lead Data Scientist will build and mentor a team, define the technical vision, design advanced search algorithms, develop machine learning models to personalize user experiences, conduct data analysis, and collaborate with product teams to turn business needs into data projects.
The Senior Research Scientist will oversee and conduct systematic literature reviews and quantitative evidence synthesis studies, develop client-ready deliverables, manage project components, ensure timely delivery, and mentor junior staff while contributing to proposals and presentations.
The Data Annotation Specialist will review and label video data to support machine learning projects, maintain organized records, and ensure data quality standards. This part-time role offers flexible hours while contributing to improving products for dog owners.
The Data Scientist is responsible for applying data science principles and methods to solve complex problems and deliver actionable insights. Key responsibilities include using statistical and algorithmic techniques, managing R&D processes, and communicating insights to stakeholders. The role emphasizes collaboration, autonomy, and innovation in crafting data-driven solutions.
The Quantitative Scientist will be responsible for data cleaning, modeling, inference, and interpretation. They will leverage expertise in biostatistics, epidemiology, and data science to support commercial projects and internal research, working closely with clinical data from electronic health records to solve complex real-world problems.
As a Data Scientist at Zelus Analytics, you will perform data modeling and quantitative analysis, develop and validate statistical models, collaborate with engineering for model implementation, and support research projects aimed at enhancing player and team performance.
The Senior Data Scientist will lead the development and optimization of generative AI models for text, image, and other data types. Responsibilities include designing advanced models, conducting experimentation, collaborating with teams, and mentoring junior staff while staying updated on generative AI research.
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