Top Data & Analytics Jobs
The Associate Research Scientist plans, executes and analyzes experiments in cell and gene therapy manufacturing. Collaborates with internal and external stakeholders in advancing pipeline. Responsibilities include designing and executing complex experiments, developing cell culture and purification processes, collaborating with cross-functional teams, troubleshooting technical challenges, and staying updated on industry trends. Requires Ph.D. with 1+ years of experience, M.S. with 2+ years, or B.S. with 3+ years, experience in cell culture, aseptic technique, cellular analysis methods, leadership skills, and strong analytical abilities. Must be self-motivated, have excellent communication skills, and be willing to travel up to 10%.
The Senior Data Scientist leads the delivery of AI/ML solutions in healthcare, mentoring data scientists and overseeing key projects. Responsibilities include designing end-to-end AI/ML solutions, fostering professional growth in the team, and advocating for data-driven decision-making.
The role involves developing and enhancing mortgage prepayment, default, and severity models, conducting quantitative analyses, and providing analytics support for trading and hedging activities within Freddie Mac's Investments & Capital Markets Division.
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Perform routine testing of process samples, raw materials, finished products, and stability samples in a cGMP compliant environment. Responsible for microbiology testing, data analysis, document writing, and reporting to support drug development programs. Execute Quality Control testing, author technical documents, and support process improvement initiatives. Bachelor's degree in a science field required.
Overseeing and processing rental network data and overlay process. Resolving provider issues and inquiries. Working in a team environment with clear and concise communication skills. Flex role with 3 days in the office and 2 days from home.
The Principal Scientist is a technical expert who resolves complex technical issues in the Global Supply Chain, leads research platforms, develops breakthrough cost savings initiatives, and anticipates business challenges. They foster an inclusive environment, conduct complex research, build institutional knowledge, and utilize data-driven approaches. This role requires a PhD and a minimum of 10 years of experience in the beverage alcohol manufacturing industry.
Lead and perform experiments to investigate neurologic disease mechanisms in rodent and stem cell models. Manage laboratory operations, supervise research staff, provide technical training and project support. Contribute to scientific publications and analyze data. Requires a Master's degree in related field and 5 years of research experience.
Field Data Collector role involving conducting parking data collection surveys, noting errors, and submitting data using a mobile application. Ability to walk for extended periods and attention to detail required.
As an Automation Engineer on the AI and Data Operations team, you will develop and maintain modular tools that help non-technical employees automate tasks, boosting productivity across departments like Sales, Marketing, and Finance. Responsibilities include building proof-of-concept workflows, expanding into AI solutions, and creating a reusable component library for AI-driven automation systems.
The Data Analyst/Engineer at PragerU will be responsible for developing and maintaining data analytics and performance tracking systems. They will work closely with the marketing team to analyze data, evaluate ROI, and create dashboards for performance analysis. Additionally, they will design and maintain scalable data pipelines, develop algorithms for actionable insights, and automate manual data processes.
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