Tech Lead Scientific Data Engineering, TetraScience
$180-230k
More information about location
Office located in Cambridge, MA
Operating system for scientific intelligence
Be an early applicant
Operating system for scientific intelligence
201-500 employees
Be an early applicant
$180-230k
More information about location
Office located in Cambridge, MA
201-500 employees
Company mission
To combine deep scientific knowledge and the industry's only purpose-built, open, and collaborative Scientific Data and AI Platform to improve and extend human life.
Role
Who you are
- 10+ years of building solutions as a Data Engineer or similar fields
- 10+ years working in Python and SQL with a focus on data
- Experience manaing engineering teams with five or more direct reports
- 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
- 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
- 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
What the job involves
- TetraScience is a Scientific Data and AI 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
- You will be leading a team of Scientific Data Engineers (SDE) and helping build Tetra Data and productizable solutions, which is the foundation of the Data Engineering layer. We are looking for a data engineering leader who is experienced, hands-on, and can also provide mentorship to junior team members
- As a tech lead/manager, you should be comfortable managing engineering tasks, leading internal design sessions, implementing solutions, and driving projects to final production releases. You will work directly with cross-functional teams like Product Managers, Scientific Business Analysts, and Solution Architects to gather business and data design objectives, resulting in production-based solutions
- You will be a team-focused leader, have excellent data engineering skills, supervise and collaborate on project executions, and have a high commitment to customer success by delivering mission-critical implementations
- Our success is defined by collaboration. You will have tremendous support to achieve your objectives, from a variety of teams, both internal and external
- Manage a team of SDEs. Supervise their career growth and performance
- Work with cross-functional teams to understand business requirements, gather insight into potential positive outcomes, recommend potential outcomes, and build a solution based on consensus
- Take ownership of building data models, prototypes, and solutions that drive customer success
- Use LLM 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
- Extract reusable schema components and parsing functions, and productize them into Python libraries
- Build high-quality data pipelines with full unit test and integration test coverage to produce high-fidelity data
- Build data applications, reports, and dashboards using React, Streamlit, Jupyter notebook, etc
- Drive value for the customers - verify the solution fulfills their requirements and provides value
- Quality gatekeeper: design with quality backed by unit tests, integration tests, and utility functions
- Promote team-wide process/technology improvements on product quality and developer experience
- Rally the team to finish Agile Sprint commitments. Actively surfacing team inefficiencies and striving to resolve them
- Driven by results. Have the pragmatic urgency to resolve blockers, unclear requirements, and make things happen
Our take
TetraScience connects lab instruments, software, and data applications through a cloud-native platform that’s purpose-built for the bio and pharma industries. As the only software of its kind, it provides scientific data that can be transformed into faster actionable information, accelerating new scientific discoveries.
Due to TetraScience’s machine learning capabilities, it benefits from partnerships and collaborations with other science-focused tech companies. In 2024, TetraScience announced a strategic partnership with Google Cloud to speed up drug development and other scientific discoveries. This partnership combines the Tetra Scientific Data and AI Cloud with Google Cloud’s infrastructure and AI technologies, empowering the life science industry to harness Scientific AI for quicker insights and improved research, development, and quality-control processes for advanced therapies.
With substantial funding behind it, TetraScience is a significant asset to the scientific community. The company's commitment to innovation and collaboration ensures it remains at the forefront of accelerating scientific research and discovery, with its partnerships and technological advancements driving continuous growth and impact in the industry.
Steph
Company Specialist at Welcome to the Jungle
Insights
6% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Apr 2021
$80m
SERIES B
May 2020
$11m
SERIES A
Total funding: $117.2m
Company benefits
- Unlimited PTO
- 100% Company Paid Health, Dental & Vision
- Company Paid Life Insurance
- 401k Savings
- Company Paid Disability Insurance
- Equity Program
Company HQ
Back Bay, Boston, MA
Leadership
Siping Wang
(Co-Founder & Field CTO)Since co-founding TetraScience in 2014, Siping has held a number of roles at the company, including COO, CEO and CTO. Previously, they were a Software Engineer at Cornell Superconducting RF Lab. They graduated from Massachusetts Institute of Technology with a Master of Science in Electrical Engineering & Computer Science.
Patrick Grady
(Co-Founder & CEO)Patrick is a Guest Lecturer at Harvard Business School as well as a Managing Partner at Impetus Ventures. Previously, they founded Rearden Commerce where they served as Chairman and CEO and they also co-founded The CardLinx Association.
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