Senior Scientific Data Engineer

TetraScience • Cambridge, MA

1d

About The Position

TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “ The Tetra Way ,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you. Our core values are designed to guide our behaviors, actions, and decisions such that we operate as one. We are looking to add high-performance team members that authentically and unconditionally embrace our values: Transparency and Context - We trust our people will make the right decisions and overcome any challenges when given data and context. Trust and Collaboration - We believe there can only be trust when there is transparency. We are committed to always communicating openly and honestly. Fearlessness and Resilience - We proactively run toward challenges of all types. We embrace uncertainty and we take calculated risks. Alignment with Customers - We are completely committed to ensuring our customers and partners achieve their missions and treat them with respect and humility. Commitment to Craft - We are passionate missionaries. We sweat the details, as the small things enable the big things. Equality of Opportunity - We seek out the best of the best regardless of gender, ethnicity, race, or age; We seek out those who embody our common values but bring unique and invaluable perspectives, talents, and advantages.

Requirements

• 8+ years of building solutions as a Data Engineer or similar fields
• 8+ years working in Python and SQL with a focus on data
• Experience leading projects, managing requirements, and handling timelines
• Experience managing multiple customer-focused implementation projects across cross-functional teams, building sustainable processes, and managing delivery milestones
• 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.

Nice To Haves

• Experience with data plotting dashboarding tools like React and/or Streamlit is strongly preferred
• Experience working with pre-clinical data and lab scientists is strongly preferred

Responsibilities

• Leading the Scientific Data Engineering (SDE) Team and helping build Tetra Data and productizable solutions, which is the foundation of the Data Engineering layer.
• Providing mentorship to junior team members.
• Leading internal design sessions and architecting solutions.
• Working directly with Product Managers and Solution Architects to gather business and data design objectives, resulting in production-based solutions.
• Supervising and collaborating on project executions.
• Working with Product Managers and Solution Architects to understand business requirements, gather insight into potential positive outcomes, recommend potential outcomes, and build a solution based on consensus.
• Taking ownership of building data models, prototypes, and integration solutions that drive customer success.
• Using AI agents to build comprehensive data schemas and parsers for pre-clinical data (main data sources: R&D lab instruments, manufacturing, CRO, CDMO, ELN, LIMS) with various data formats: .xlsx, .pdf, .txt, .raw, .fid, many other vendor binaries.
• Extracting reusable schema components and parsing functions, and productizing them into Python libraries.
• Building high-quality data pipelines with full unit test and integration test coverage to produce high-fidelity data.
• Building data applications, reports, and dashboards using React, Streamlit, Jupyter notebook, etc.
• Working closely with product managers, project managers, business analysts, data architects, and ML engineers to deliver best-in-class data products.
• Driving value for the customers - verifying the solution fulfills their requirements and provides value.
• Designing with quality backed by unit tests, integration tests, and utility functions.
• Leading team-wide process/technology improvements on product quality and developer experience.
• Rallying the team to finish Agile Sprint commitments.
• Actively surfacing team inefficiencies and striving to resolve them.
• Having the pragmatic urgency to resolve blockers, unclear requirements, and make things happen.
• Providing mentorship to junior SDEs and showing leadership in every front.

Benefits

• 100% employer paid benefits for all eligible employees and immediate family members.
• 401K.
• Unlimited paid time off (PTO).
• Company paid Life Insurance, LTD/STD.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed