Scientific Data Engineer

TetraScience, the Scientific Data and AI Cloud company, is seeking a Scientific Data Engineer to join their team. This role combines scientific expertise with data engineering skills to build and maintain critical data infrastructure for scientific laboratories. The position requires a PhD in biology, chemistry, or related fields, along with 3+ years of Python and SQL experience. You'll work on designing data acquisition strategies, building parsers for various scientific instrument outputs, and creating visualization solutions using modern tools like Streamlit and Tableau.

The ideal candidate will have extensive wet lab experience, particularly with HPLC and Mass Spec instruments from various manufacturers like Waters, Thermo Fisher, and Agilent. You'll be responsible for designing data models, building pipelines, and ensuring the solutions provide real value to customers. The role offers a unique opportunity to work at the intersection of life sciences and data engineering, using AI and LLM technologies to solve complex scientific data challenges.

TetraScience offers a comprehensive benefits package including 100% employer-paid benefits for employees and family, unlimited PTO, 401K, and flexible remote work arrangements. The company values continuous improvement and provides opportunities for career growth and coaching. As the category leader in this vital new market, TetraScience has established partnerships with major players in compute, cloud, data, and AI infrastructure.

The position is fully remote and based in the United States, with a focus on building and maintaining critical data infrastructure for scientific laboratories. This role is perfect for someone who combines scientific expertise with technical skills and has a passion for solving complex data challenges in the life sciences industry.