Top AI & Machine Learning Jobs

As an AI Data Engineer, you will develop full stack applications integrating AI capabilities to support pharmaceutical research, enhancing workflows and productivity. Responsibilities include collaborating with researchers, developing scalable backend services, and deploying systems in AWS.

Lead design and build of data models, pipelines, and feature stores to power AI, RAG, and advanced analytics for commercial pharma. Translate data strategy into technical designs, ensure data quality and governance, mentor engineers, and deliver performant data solutions that drive business decisions and AI deployments.

The internship focuses on applying AI in healthcare to improve patient outcomes and engage healthcare professionals, involving project work and learning opportunities.

The Applied AI Workflow Scientist, Sr. Manager drives the application of AI and LLMs in scientific workflows, collaborating with various stakeholders to improve operational efficiency in Immunology and Inflammation.

Leads AI strategy and technical direction for applied AI in Inflammation & Immunology, overseeing portfolio development, partnerships, and governance standards to improve scientific decision-making.

Build, operate, and automate an enterprise pro-code AI agent platform on Azure. Use Infrastructure-as-Code (Terraform) and CI/CD (Azure DevOps/GitHub Actions) to provision and deploy environments, integrate Microsoft Foundry and AI/ML services, implement identity and policy guardrails, and establish monitoring, logging, tracing, and observability to ensure reliable, secure, and compliant platform operations.

The US Product Lead is responsible for the AI product roadmap, leading a team, driving outcomes, managing budgets, and coordinating cross-functional collaborations to enhance commercial performance through AI-driven solutions.

Design, implement, and validate state-of-the-art generative and self-supervised machine learning models for molecular and ligand-based drug design. Develop predictive and representation-learning approaches using large-scale proprietary and external biological datasets, collaborate with computational biology and chemistry teams, and translate research into applied drug discovery solutions and scientific publications.

Design and analyze clinical trials ensuring compliance with regulations, provide statistical guidance, and collaborate with teams for effective drug development.

The Senior Computational Chemist will lead cheminformatics efforts, design data pipelines, apply machine learning models to drug discovery, and collaborate across teams.