Lead the execution of data labeling and evaluation projects that power AI development. Coordinate across teams to ensure high-quality output is delivered on time and at scale. Set up and manage evaluation workflows on the Labelbox platform. Oversee contributor operations to meet production goals. Drive quality control and assurance processes. Monitor progress, troubleshoot issues, and communicate updates to stakeholders.
As a Clinical Forecasting Analytics you will be joining the world’s largest & most comprehensive clinical research organisation. You will support IIS (4-500 trials) and a Managed Access portfolio, providing insight to the leadership team within Medical Affairs. Responsibilities include data on demand (FTEs), OOPS (out of pocket spending), and FTE support, focused on the FTE side (costs), also require to articulate budget vs. budget commentary for shifts and changes in the portfolio.
Collaborate with stakeholders for MDM, define data quality requirements, & design reliable and scalable MDM solutions for International Commercial projects. Define new data entity requirements & cooperate with business teams in Data Governance. Evaluate & recommend MDM architecture, continuously improve solutions, & resolve project hurdles. Manage MDM roll outs, partner with Data & Analytics teams, & ensure high data quality.
This role will establish and lead how we manage the internal tools that power our operations and decision-making. This dedicated role focuses on business applications and data platforms. The ideal candidate is both a doer and a collaborator, comfortable configuring systems directly, managing implementation partners, and working across teams to align tools with real-world needs.
The Analyst, Data will play a critical role in optimizing EFF’s data practices and amplifying efforts to ensure high-impact schools in marginalized communities have a pathway to affordable facilities. Reporting to the Director, Data and Insights, the Analyst will play a significant role in supporting the management of EFF’s data systems. The ideal candidate will possess excellent problem-solving skills and contribute to a team-oriented culture.
Support research verticals focused on the extraction, normalization, and ingestion of civic data as a Research Fellow. Work within a team to build a database on U.S. government officeholders, candidates, and places using tools like SQL and web scrapers. Manage projects, ensure data delivery, delegate tasks, and communicate progress to the broader team.