Bioinformatics Software Architect
Thermo Fisher ScientificFull Time
Expert & Leadership (9+ years)
A PhD with 7+ years or a Master's degree with 10+ years of industry experience in life sciences is required, along with extensive domain knowledge in drug discovery, preclinical development, CMC, or product quality testing. A proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments is essential. Candidates must have collaborated with cross-functional teams, performed extensive exploratory data analysis and workflow optimization, engaged diverse audiences with excellent communication skills, and advised scientists in a consulting capacity.
The Scientific Data Architect will be a critical team member in industrializing Scientific AI by engaging directly with customers onsite a few times a week in the New York Region. Responsibilities include building strong relationships, deeply understanding customer scientific data challenges and requirements, and accelerating solutions.
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.