Senior Scientific Data Engineer, TetraScience
+ Equity
More information about location
Operating system for scientific intelligence
Be an early applicant
Operating system for scientific intelligence
201-500 employees
Be an early applicant
+ Equity
More information about location
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
- We hire Sciborg team members with potential, passion, and values alignment, not just a checklist of requirements. If you have related skills and a desire to learn, we want to hear from you
- Demonstrated history building and delivering data products, integrations, and scientific applications as a Data Engineer or in a similar field
- Expertise in Python and working knowledge of JavaScript, TypeScript, Node, React, SQL
- Familiarity with networking, CI/CD, and full stack development
- Familiarity with cloud engineering on AWS, including core services such as S3, Lambda, ECS, SQS, SNS, EC2, and CloudWatch
- Familiarity with the biotech and pharmaceutical industry and regulated environments such as GxP
- Experience working with non-clinical data and lab scientists
- Excellent communication skills, attention to detail, and the confidence to take control of project delivery
- History leading customer-facing implementation projects across cross-functional teams, managing requirements, timelines, and delivery outcomes
What the job involves
- You will join TetraScience's forward deployed teams as a senior, hands-on engineer
- In this role, you will work directly with biotech, pharmaceutical, and scientific companies, bringing advanced data and AI technologies into the labs that research, develop, and manufacture medicines
- You will work alongside customer scientific, engineering, and IT teams to design, build, and ship integrations and data products on Tetra OS that serve scientific teams across the globe
- You will also mentor other scientific data engineers, lead internal design sessions, and partner with Product Managers and Solution Architects to turn customer, product, and engineering objectives into commercialized solutions
- Act as a forward deployed engineer for a portfolio of biotech, pharmaceutical, and scientific customers. Own the technical relationship, understand their scientific workflows, and deliver solutions that move their programs forward
- Drive AI agents to design and build bidirectional integrations between Tetra OS and customer systems such as ELN, LIMS, MES, and process historians, including serverless push and pull pipelines, stateful connectors, and full stack data applications in Python and TypeScript
- Drive AI agents to design and build comprehensive data schemas and parsers for scientific data from R&D lab instruments, manufacturing, CRO, CDMO, ELN, and LIMS sources, across formats such as .xlsx, .pdf, .txt, .raw, .fid, and many other vendor binaries
- Deploy and test solutions in customer environments, including cloud, on-premises, and hybrid networks, and troubleshoot across the full stack when something breaks
- Create and enforce designs with quality backed by comprehensive test automation to prove expected behaviors
- Lead process and technology improvements supporting product quality, developer experience, and platform capabilities
- Provide mentorship to junior scientific data engineers and show leadership on every front
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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