TetraScience is a leader in the Scientific Data and AI Cloud sector, focusing on industrializing AI-native scientific data sets.
The company is recognized for its innovative lab data management solutions and partnerships with major players in compute, cloud, data, and AI infrastructure.
The role requires a product-minded, outcome-obsessed individual who is a high-velocity self-starter and can design and build technical scientific solutions.
The candidate will engage with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes.
The position demands a strong understanding of biopharma R&D and the ability to bridge current pain points with generalizable solutions.
The role emphasizes extreme ownership and a history of building extensible data models and applications for Biopharma end users.
The candidate will work closely with customers in the Ireland region to understand their scientific data challenges and accelerate solutions.
Requirements:
A PhD with 7+ years or a Master's with 10+ years of industry experience in life sciences, with extensive knowledge in drug discovery, preclinical development, CMC, or product quality testing.
A proven track record of defining, designing, prototyping, and implementing AI/ML-driven use cases in cloud environments.
Experience collaborating with cross-functional teams, including product managers, software engineers, and scientific stakeholders.
Ability to perform extensive exploratory data analysis and workflow optimization to enable scientific outcomes.
Excellent communication and storytelling abilities to engage diverse audiences, from scientists to executive stakeholders.
Experience advising scientists in a consulting capacity to enhance research, development, and quality testing outcomes.
Benefits:
Competitive salary and equity in a fast-growing company.
A supportive, team-oriented culture focused on continuous improvement.
Generous paid time off (PTO) to promote work-life balance.
Flexible working arrangements, including remote work when not at customer sites.