Senior AI Scientist (Life Sciences)

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. Main responsibilities Develop AI models, training systems, and tooling for key use cases in life sciences. Translate customer needs and technology developments into software designs and roadmap elements, owning technical design over development projects and customer engagements. Enable large-scale compute workloads in life sciences by designing AI solutions in drug discovery pipelines, genomics etc. Actively drive technical content in customer discussions and internal alignment with other AMD teams. Collaboration with others The position is part of the life sciences workstream at AMD Silo AI. Collaborate with Life Sciences AI developers, customers’ technical teams, domain experts, and business development to distill their knowledge and prioritize the insights to develop them as part of our roadmap. Work with multiple teams located in Finland and internationally in the organization Communicate with clients evolving our technological roadmap to deliver on market needs Main goals for first 6 months Connect with local and international internal stakeholders and technical teams Take ownership of the technological roadmap and align with R&D leadership Understand and re-evaluate business KPIs for maximizing value Lead client projects discovering, scoping, and delivering product needs Triage the needs for Life Sciences GPU workloads team to evolve roadmap Ideal candidate profile Proven ability to design successful AI solutions and communicate the designs to technical teams, business development, and marketing, receiving consistent great feedback Experience in developing deep learning models for life sciences (graph neural networks, transformers etc.), scientific AI (e.g. molecular models or imaging), orhigh performance computing in e.g. computational chemistry or protein binding. Hands-on experience in working with large-scale machine learning/AI systems, compute infrastructure and crafting groundbreaking proof-of-concept demonstrations Industry experience in Pharmaceuticals preferred Required Skills and Qualifications Development experience with Python (required), C (preferred) and JAX Experience with Docker, Containers, Kubernetes components & subsystems Outstanding engineering skills in rapid prototyping and product development Strong understanding of computational drug discovery workflows. Experience with agentic frameworks for planning, tool-use, memory, and long-running workflow execution. MS or PhD or 5+ years if experience in Biomedical engineering, Computational Chemistry Computer Science, or a related field (or equivalent experience) Locations Open to candidates based in Finland, Sweden, Netherlands, Germany, Denmark and UK. Flexible hybrid working environment. #LI-MH3 #LI-HYBRID Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.

Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.

Main responsibilities Develop AI models, training systems, and tooling for key use cases in life sciences. Translate customer needs and technology developments into software designs and roadmap elements, owning technical design over development projects and customer engagements. Enable large-scale compute workloads in life sciences by designing AI solutions in drug discovery pipelines, genomics etc. Actively drive technical content in customer discussions and internal alignment with other AMD teams. Collaboration with others The position is part of the life sciences workstream at AMD Silo AI. Collaborate with Life Sciences AI developers, customers’ technical teams, domain experts, and business development to distill their knowledge and prioritize the insights to develop them as part of our roadmap. Work with multiple teams located in Finland and internationally in the organization Communicate with clients evolving our technological roadmap to deliver on market needs Main goals for first 6 months Connect with local and international internal stakeholders and technical teams Take ownership of the technological roadmap and align with R&D leadership Understand and re-evaluate business KPIs for maximizing value Lead client projects discovering, scoping, and delivering product needs Triage the needs for Life Sciences GPU workloads team to evolve roadmap Ideal candidate profile Proven ability to design successful AI solutions and communicate the designs to technical teams, business development, and marketing, receiving consistent great feedback Experience in developing deep learning models for life sciences (graph neural networks, transformers etc.), scientific AI (e.g. molecular models or imaging), orhigh performance computing in e.g. computational chemistry or protein binding. Hands-on experience in working with large-scale machine learning/AI systems, compute infrastructure and crafting groundbreaking proof-of-concept demonstrations Industry experience in Pharmaceuticals preferred Required Skills and Qualifications Development experience with Python (required), C (preferred) and JAX Experience with Docker, Containers, Kubernetes components & subsystems Outstanding engineering skills in rapid prototyping and product development Strong understanding of computational drug discovery workflows. Experience with agentic frameworks for planning, tool-use, memory, and long-running workflow execution. MS or PhD or 5+ years if experience in Biomedical engineering, Computational Chemistry Computer Science, or a related field (or equivalent experience) Locations Open to candidates based in Finland, Sweden, Netherlands, Germany, Denmark and UK. Flexible hybrid working environment. #LI-MH3 #LI-HYBRID