Bioinformatics Software Architect
Thermo Fisher ScientificFull Time
Expert & Leadership (9+ years)
Candidates must possess a PhD with 7+ years of industry experience or a Master's degree with 10+ years of experience in life sciences, specifically with domain 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 is essential. Experience collaborating with cross-functional teams, performing extensive exploratory data analysis, optimizing workflows, and advising scientists in a consulting capacity is required. Excellent communication and storytelling abilities to engage diverse audiences, from scientists to executives, are also necessary.
The Scientific Data Architect will be a critical team member in industrializing Scientific AI by engaging directly with customers onsite in the Copenhagen Region a couple of days per week. Responsibilities include building strong customer relationships, deeply understanding their scientific data challenges and requirements, and accelerating solutions. This role involves transforming complex scientific data into actionable outcomes and maximizing the value of scientific data through analysis and integration with AI/ML.
Cloud platform for scientific data management
TetraScience offers a cloud-based platform called the Scientific Data Cloud, which helps biopharmaceutical companies manage and harmonize their scientific data for research and development, quality assurance, and manufacturing. The platform connects various lab instruments and software, streamlining data management and significantly reducing task completion time. TetraScience's vendor-neutral and open design allows it to work with any lab equipment, making it a flexible solution in the life sciences sector. The company's goal is to enhance scientific outcomes by preparing data for artificial intelligence and machine learning applications.