Aartificial intelligence, Agile methodologies, Data science techniques, Deep Learning, Effective communication skills, Generative AI, Machine learning techniques, MLOps tools, Planning and organization, Product Management
About the position
You’ll be working within the Science & Research Domain and Computational Science & Exploratory Analytics Product Line. The Computational Science & Exploratory Analytics Product Line provides analytics and computational capabilities for generating and validating hypotheses, for designing experiments and for data driven decision making.
As the Machine Learning and Operations Product Manager, you will collaborate closely with cross-functional R&D teams, including computational chemists, biologists, lab scientists to develop and implement ML-driven products that accelerate R&D timelines. As a technology expert, you play a pivotal role in driving the strategic integration of machine learning technologies into S&R product development initiatives. You will collaborate with R&D scientists and data experts to deploy advanced algorithms for predictive modeling, target identification, and compound optimization. You will develop and execute product roadmaps for our machine learning products by driving a data strategy incorporating the needs of platform users and the rapidly advancing life science research. You will partner with internal and external scientists to build an expert understanding of scientist needs and state of the art ML models needed to represent the information rich biological systems to accelerate breakthroughs and enable experimentation at scale for excellent scientist experience. You will enable advanced algorithms to enhance operational efficiency and decision-making processes. You will manage the entire product lifecycle, from conceptualization to deployment, ensuring the seamless integration of ML, AI, and GenAI solutions into R&D workflows for pharmaceutical & diagnostics research. By collaborating with cross-functional teams, you will deliver high-impact products that optimize operational workflows, automate processes, and drive overall efficiency gains. This role offers a unique opportunity to lead at the intersection of cutting-edge technology and operational excellence, shaping the future of our products through innovative machine learning-driven solutions.
Your key responsibilities:
STAKEHOLDER MANAGEMENT AND PARTNERING
LEADERSHIP AND INFLUENCE
IMPACT AND COMPLEXITY
Information Security, Privacy and Regulatory
Your qualifications and experience:
What you get:
Who we are
At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.
Roche Kaiseraugst is a cornerstone of Roche's global production and logistics network. It employs some 1900 people out of the 10,700 employees at our Basel/Kaiseraugst site and is Roche's largest and most innovative packaging facility worldwide. Read more.
F. Hoffmann-La Roche AG, commonly known as Roche, is a Swiss multinational healthcare company that operates worldwide under two divisions: Pharmaceuticals and Diagnostics. Its holding company, Roche Holding AG, has shares listed on the SIX Swiss Exchange. The company headquarters are located in Basel.
Penzberg, Germany
2-4 year
South San Francisco, CA, USA
0-2 year
Mississauga, ON, Canada
10-12 year
Madrid, Spain
6-8 year
Warsaw, Poland
6-8 year
Basel, Basel City, Switzerland
0-2 year
Basel, Basel City, Switzerland
0-2 year
Basel, Basel City, Switzerland
0-2 year
Rotkreuz, Zug, Switzerland
0-2 year
Basel, Basel City, Switzerland
8-10 year
Oceanside, CA, USA
8-10 year
Hillsboro, OR, USA
8-10 year
South San Francisco, CA, USA
8-10 year
South San Francisco, CA, USA
10-12 year
South San Francisco, CA, USA
4-6 year
Indianapolis, IN, USA
10-12 year
South San Francisco, CA, USA
8-10 year
Madrid, Spain
8-10 year
Warsaw, Poland
8-10 year
Warsaw, Poland
8-10 year
Basel, Basel City, Switzerland
4-6 year
Petaling Jaya, Selangor, Malaysia
2-4 year
Budapest, Pest, Hungary
4-6 year
Sant Cugat del Vallès, Barcelona, Spain
0-2 year
Basel, Basel City, Switzerland
4-6 year
Rotkreuz, Zug, Switzerland
4-6 year
Sant Cugat del Vallès, Barcelona, Spain
4-6 year
Ludwigsburg, Baden-Württemberg, Germany
4-6 year
South San Francisco, CA, USA
6-8 year
Mannheim, Baden-Württemberg, Germany
2-4 year
Alberta Avenue, DeBolt, Alberta, Canada
6-8 year
Sant Cugat del Vallès, Barcelona, Spain
8-10 year
Pleasanton, CA, USA
0-2 year
Santa Clara, CA, USA
0-2 year