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.
Seeking a detail-oriented and inquisitive OSINT Analyst to join our team. You will be responsible for identifying, collecting, and analyzing publicly available information to produce actionable insights that support decision-making to our projects.
This role is critical in effectively translating analytic output in a client-facing manner, requiring deep knowledge of Komodo’s data and how to position it best, as well as an understanding of various disease states and how the US healthcare system functions. The Analytics Principal will lead the successful design and execution of a presales and MSW analytics strategy tailored to the assigned market.
The Senior Manager of Statistical Programming is a leadership role which manages a team of statistical programmers in the research and development of new pharmaceutical products. The Senior Manager of Statistical Programming is responsible for leading the statistical programming activities for one or more compounds/indications or a therapeutic area. This role must effectively interface with Statistics, Data Sciences, Medical Writing, Regulatory Publishing and Development Operations.
Define and drive the technical vision & strategies for your team across several domains and strategically partner with cross functional counterparts (product engineering, applied science, data science) on strategy, prioritization, and execution. Drive team execution against team-specific OKRs. Lead and manage the team as a highly-competent technical leader, who can help guide complex technical decisions. Hire, coach, and manage data engineers at all levels.
As the Sr. Manager, Product Analytics at Babylist, you will lead a high-impact team responsible for surfacing insights and enabling data-informed product decisions across the organization. This role is central to how we use data to shape product direction across our major surfaces: Registry, Shopping, Health, and Long-Term Family Support. You’ll report to the VP of Finance and serve as a bridge between Finance and Product.
Your insights will directly contribute to the training of AI in chemistry, physics, and engineering applications. You’ll help AI better understand structure-property relationships, materials design, and experimental methods. You will review AI-labeled content across materials science and engineering topics, assess accuracy and completeness of data and support the development of AI tools used in research and applied science.
You will design, develop, and maintain complex PL/SQL stored procedures, functions, and packages. Create and manage Oracle database objects, including tables, materialized views, triggers, synonyms, user-defined types, nested tables, and collections. Write and optimize high-performance SQL queries for large-scale data retrieval and manipulation. Conduct performance tuning and troubleshooting for PL/SQL code.
Test and evaluate how clients’ search engine responds to everyday searches. Using your search expertise, you will work through a variety of assignments playing a crucial part in enhancing AI data which will be used to improve the online search engine experience of our clients’ users.
Become a trusted advisor working closely with our clients, from data owners and analytic users to C-level executives to shape their Data, Analytics and AI transformation agendas. Work at the intersection of business, technology, and innovation, driving value through enterprise data strategies, AI enablement, data product development, and monetization initiatives. Assess the current state of clients’ data landscapes, AI readiness, and analytics maturity.