Senior AI/ML Engineer β€” Life Sciences, Boston Onsite

Senior AI/ML Engineer β€” Life Sciences, Boston Onsite

Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
TetraScience

At a Glance

  • Tasks: Design and develop advanced AI/ML products for life sciences.
  • Company: TetraScience, a leader in AI solutions for the life sciences sector.
  • Benefits: Competitive salary, onsite collaboration, and opportunities for professional growth.
  • Other info: Engage with customers and collaborate with diverse teams in a dynamic environment.
  • Why this job: Make a real impact in life sciences with cutting-edge AI technology.
  • Qualifications: Strong research background and experience in deploying AI models.

The predicted salary is between 80000 - 100000 Β£ per year.

TetraScience in Cambridge, UK, is seeking an experienced AI/ML product leader to design, develop, train, and validate advanced AI/ML products for life sciences. You will work with commercial teams, advise executives on feasibility, and collaborate with cross-functional groups to deliver end-to-end solutions while engaging customers onsite up to 4-5 days per week in the Boston region.

This role demands a strong research background, a track record of deploying AI models, and the ability to advocate for AI.

Senior AI/ML Engineer β€” Life Sciences, Boston Onsite employer: TetraScience

TetraScience is an exceptional employer that fosters a supportive and team-oriented culture, perfect for those passionate about scientific data and AI technologies. With generous paid time off, flexible remote working arrangements, and a commitment to continuous improvement, employees are empowered to grow and thrive in their careers while making a meaningful impact in the life sciences sector. Join us to be part of a dynamic team that values innovation and collaboration, driving advancements in scientific intelligence.

TetraScience

Contact Details:

TetraScience Recruitment Team

We think you need these skills to ace Senior AI/ML Engineer β€” Life Sciences, Boston Onsite

AI/ML Product Development
Model Training and Validation
Research Background
Deployment of AI Models
Collaboration with Cross-Functional Teams
Customer Engagement
Advising Executives on Feasibility