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The Principal AI Data Scientist will lead AI strategy for clinical trial optimization, leveraging machine learning models and diverse medical data sets. Responsibilities include ideating ML applications, developing prototypes, optimizing data pipelines, and mentoring junior staff. The role requires strong research, leadership, and communication skills, alongside hands-on model design and implementation.
The Principal Performance Analytics Engineer will analyze fleet performance using predictive analytics to detect anomalies, validate data from multiple databases, and collaborate with various teams to identify root causes of failures. This role also involves automating analyses, tracking quality issues, and presenting findings to stakeholders.
The Research Associate will work alongside scientists to analyze rice cultivars and optimize cropping systems. Responsibilities include conducting experiments, managing crop production, analyzing data, providing Macintosh technical support, and assessing water quality by processing samples.
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The Principal Workday HCMS Analyst will enhance and support the Workday platform, serve as a consultative advisor to HR and IT leaders, manage projects, ensure compliance with regulations, and provide data-driven recommendations through analytics and reporting.
The BI & Analytics Engineer will analyze large-scale data to derive insights, collaborate with stakeholders to determine their data needs, and develop analytical solutions. They will also work on enhancing BI tools, optimize data pipelines, and ensure that projects are progressing as per timelines.
The Senior Research Associate I will support small and large-molecule drug discovery by planning and conducting protein production experiments, performing protein expression and purification, troubleshooting challenges, and communicating results with project teams.
The Data Scientist will collect, analyze, and interpret data to drive insights for business decisions in the gaming industry. Responsibilities include developing automated processes for analysis, collaborating on end-to-end solutions, and researching machine learning approaches.
The Senior Total Rewards Analyst acts as a consultant for Compensation and Benefits, managing requests and vendor interactions, supporting open enrollments, conducting compensation analyses, and providing insights to HR and management regarding total rewards strategies.
The HRIT Systems Analyst II is responsible for enhancing the operational effectiveness of the corporate HR function by troubleshooting and configuring HRIT solutions, performing system audits, creating reports, and collaborating with HR and Payroll systems teams to meet business needs.
The LADR Analyst role is part of a one-year rotational program focused on developing entry-level professionals in technology and automation. Participants engage in various assignments across Project Management, Engineering, and Client Support to enhance their skills and contribute to client success through innovative solutions.
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