TetraScience is a leader in the Scientific Data and AI Cloud sector, focusing on AI-native scientific data sets and lab data management solutions.
The role involves researching data acquisition strategies for scientific lab instrumentation.
Responsibilities include productionizing file parsers for various instrument output files, designing and building data models and pipelines, and conducting unit and integration tests.
The position requires cross-analysis of instrument data to design common data model components.
The candidate will build visualizations, reports, and dashboards using tools like Streamlit, Tableau, and Jupyter Notebook.
The role emphasizes driving customer value by ensuring solutions meet requirements and provide tangible benefits.
Requirements:
A minimum of 3 years of experience in Python and SQL is required.
A PhD degree in biology, chemistry, or a relevant field is necessary.
Extensive wet lab experience is essential, preferably with HPLC and Mass Spec, and familiarity with specific instruments and software is required.
Experience with data plotting and dashboarding tools such as Streamlit, Tableau, and Jupyter Notebook is a plus.
Candidates should be passionate about data problems and using AI and LLM for innovative solutions.
Excellent communication skills, attention to detail, and project delivery confidence are crucial.
The ability to quickly understand technical products and communicate effectively with product management and engineering is necessary.
Proactive problem-solving skills and the ability to manage multiple projects simultaneously are important.
Candidates should be intellectually curious and possess creative thinking skills for risk management without compromising quality.
A team-oriented mindset and willingness to contribute to team success are essential.
Benefits:
The position offers a competitive salary and equity in a fast-growing company.
Employees will enjoy a supportive, team-oriented culture focused on continuous improvement.
Generous paid time off (PTO) is provided.
Flexible working arrangements, including remote work options, are available.
