Scientific Data Engineer

Who We Are

TetraScience is the Scientific Data and AI Cloud company with a mission to radically improve and extend human life. TetraScience combines the world's only open, purpose-built, and collaborative scientific data and AI cloud with deep scientific expertise across the value chain to accelerate and improve scientific outcomes. TetraScience is catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which it brings to life in a growing suite of next generation lab data management products, scientific use cases, and AI-based outcomes. For more information, please visit tetrascience.com.

Our core values are designed to guide our behaviors, actions, and decisions such that we operate as one. We are looking to add individuals to our team that demonstrate the following values:

• Transparency and Context- We execute on our ambitious mission by starting with radical data transparency and business context. We openly and proactively share all vital data and make it actionable, so our employees and stakeholders can solve any problem presented to them.
• Trust and Collaboration- We are committed to always communicating openly and honestly at every level of the organization, functionally, cross-functionally, internally, and externally. Empowering our employees will drive positive change across our entire ecosystem.
• Fearlessness and Resilience- We must be fearless and resilient to fulfill our potential. We proactively run toward challenges of all types, we unblinkingly acknowledge and confront the brutal facts - which all innovative growth companies invariably face – and we embrace uncertainty and take calculated risks.
• Alignment with Customers- We know that our customers' success is our success. We are honored and humbled by their commitment to us, and we are completely committed to ensuring they achieve their mission to unlock the world’s most important scientific innovations.
• Commitment to Craft- We take our craft seriously and seek to be best-in-class in all we do, regardless of our functional role, seniority, or tenure. We are members of one team that combines intellectual horsepower and curiosity, humility, and empathy to ensure we are always learning and evolving.
• Equality of Opportunity- We cannot imagine our journey without a workforce which reflects humanity’s diversity. We seek out the best of the best who bring with them unique and invaluable perspectives and talents and embody our common values - regardless of gender, ethnicity, race, or age.

What You Will Do

• Research data acquisition strategy for scientific lab instrumentation
• Research and productionize file parsers for instrument output files (.xlsx, .pdf, .txt, .raw, .fid, many other vendor binaries)
• Design and build data models and the corresponding data pipelines, unit tests, integration tests, and reusable utility functions
• Cross-analyze instrument data with the same instrument type or scientific workflow to design common data model components.
• Build visualization, report, and dashboards using Streamlit, Tableau, Jupyter notebook, etc.
• Drive value for the customers - test and make sure the solution fulfills their requirements and provides value

What You Have Done

• Must have >3 years experience in Python and SQL
• PhD degree in biology or chemistry or relevant fields
• Must have extensive wet lab experience with HPLC and Mass Spec, preferably one or many of the following:
• Waters LCs with Empower software and MassLynx software
• Thermo Fisher LCs with Chromeleon software and Xcalibur software
• Cytiva LCs with Unicorn software
• Shimadzu LCs with LabSolution software
• Sciex LCs with Sciex software
• Agilent LCs with OpenLab software and ChemStation software
• Experience with data plotting dashboarding tools like Streamlit, Tableau, Jupyter Notebook is a strong plus
• Passionate about data problems and how data solutions can solve problems for the science industry
• Excellent communication skills, attention to detail, and the confidence to take control of project delivery
• Quickly understand a highly technical product and effectively communicate with product management and engineering
• Proactive problem-solving skills
• High-bandwidth: thrives when managing multiple simultaneous projects
• Intellectually curious: Unwavering drive to learn and know more every day
• Ability to think creatively about how to solve project risks without reducing quality
• Team player and ability to "roll up your sleeves" and do what it takes to make the team successful