Manager Data Science

Description

The team builds AI for science, research intelligence and knowledge discovery, with the aim of helping researchers and clinicians find evidence, connect ideas and gain insight.

The company's products are used by millions of researchers to explore scientific literature. The team works across publications, research data, knowledge graphs, ontologies, metadata, taxonomies, citations and content from every scientific discipline.

You will join a growing group of data scientists and lead the people working on these systems.

The role covers search, retrieval, NLP, generative AI and machine learning for products used by researchers and healthcare professionals worldwide.

You need strong technical depth, people leadership, strategic thinking and a commitment to developing others.

Responsibilities

• Build, develop and motivate high-performing teams of data scientists, machine learning engineers, researchers and other technical contributors.
• Set the data science strategy for scientific discovery, research intelligence and knowledge-access products.
• Lead the development of AI features for search, retrieval, recommendation, NLP, knowledge systems and generative AI.
• Turn complex customer, scientific and business problems into scalable solutions with measurable results.
• Set high standards for experimentation, evaluation, model quality, reliability and responsible AI.
• Work closely with Product, Engineering, Research, UX, Analytics and domain experts on product strategy and delivery.
• Mentor and coach team members and build a culture of scientific rigour, collaboration, innovation and learning.
• Guide adoption of new AI technologies such as LLMs, retrieval-augmented generation, semantic search and knowledge-based systems.
• Advise senior stakeholders and help shape long-term AI, technology and product strategy across the organisation.
• Make sure AI systems are trustworthy, scalable, explainable and measurable, with clear benefit to customers and society.

Requirements

• Significant experience leading data science, machine learning, AI, NLP, information retrieval or related technical teams.
• A record of building, coaching and growing high-performing teams in complex technology or product settings.
• Technical skill in machine learning, generative AI, large language models, retrieval systems, experimentation and model evaluation.
• Experience taking AI products or platforms from concept to production, with measurable impact.
• A solid grasp of modern AI methods, including LLMs, RAG architectures, semantic search, embeddings and knowledge systems.
• Experience setting up evaluation frameworks, experimentation practices and performance metrics for AI.
• Ability to turn unclear challenges into clear strategy, execution plans and business outcomes.
• Excellent communication and stakeholder management, with the ability to influence technical, product and executive audiences.
• Experience working with large-scale structured, semi-structured and unstructured data in production.
• Real interest in advancing science, widening access to knowledge, developing people and using AI for real-world impact.

Conditions

U.S. national base pay range is $115,400 to $192,300. Geographic differentials may apply in some locations to reflect local market rates.

Pay ranges by location: Maryland $121,200 to $201,900; New York $126,900 to $211,500; New York City $138,400 to $230,700; Rochester, NY $115,400 to $192,300; New Jersey $136,213 to $217,587.

The role is eligible for an annual incentive bonus.

The company offers equal opportunity in hiring and will provide accommodations on request.

Benefits

• Country-specific benefits are available for your location.
• You will help researchers discover knowledge faster, assess evidence more effectively, generate new insights and speed up scientific progress.