Senior Product Manager

About the role

The Onyx Research Data Tech organization is part of GSK R&D and Digital & Tech, aiming to enhance data, knowledge, and prediction capabilities to discover new medicines. We offer a full-stack approach with various teams focusing on data engineering, infrastructure, knowledge platforms, and AI/ML.

Responsibilities

• Own and lead the product roadmap, product development, launch, and adoption of novel molecule design solutions to benefit GSK’s scientific community across multiple departments.
• Partner with R&D stakeholders and Onyx leadership to define a strategic roadmap for molecule design tools with GenAI capabilities.
• Work closely with the wider Onyx tech team, R&D scientists, and leaders to deliver industry-leading cloud-based products and solutions with GenAI and agentic capabilities.

Requirements

• PhD + 2 years, Masters + 4 years, or Bachelors + 6 years in Bioinformatics, computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering or related disciplines.
• 4+ years of experience in product management with a proven track record of shipping 0-to-1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large-scale enterprise setting.
• Experience defining product strategy for modern applications, including hands-on experience with technologies core to AI systems such as vector databases, MLOps, retrieval-augmented generation, and model fine-tuning.
• Experience with cloud-native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM-based applications.

Qualifications

• Bachelor’s degree in Bioinformatics, computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering or related discipline.
• Experience with cloud-native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM-based applications.
• Experience with cloud-native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM-based applications.
• Experience with cloud-native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM-based applications.

Skills

• Experience defining product strategy for modern applications, including hands-on experience with technologies core to AI systems such as vector databases, MLOps, retrieval-augmented generation, and model fine-tuning.
• Experience with cloud-native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM-based applications.
• Experience with cloud-native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM-based applications.
• Experience with cloud-native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM-based applications.

Benefits

• Healthcare and other insurance benefits (for employee and family)
• Retirement benefits
• Paid holidays, vacation, and paid caregiver/parental and medical leave

Pay

The US salary ranges for this position range from $147,675 to $246,125 annually, depending on work location within the US market, the candidate's skills, experience, education level, and the market rate for the role.

Schedule

N/A