TetraScience is building forward deployed data teams for biotech, pharmaceutical, and scientific customers. This onsite role in New York, NY brings a hands-on engineer to design, build, and ship integrations and data products on Tetra OS, while owning technical relationships and mentoring other scientific data engineers.
Compensation for this position is USD 140,000 - 200,000 per year. TetraScience is a VC-backed Series C company and offers stock options, along with 100% employer-paid benefits for eligible employees and immediate family members.
What you’ll do
- Serve as a forward deployed engineer for a portfolio of biotech, pharmaceutical, and scientific customers, owning the technical relationship and delivering solutions aligned to their scientific workflows.
- Drive AI agent work to design and build bidirectional integrations between Tetra OS and customer systems including ELN, LIMS, MES, and process historians.
- Build serverless push and pull pipelines, stateful connectors, and full stack data applications using Python and TypeScript.
- Design and implement comprehensive data schemas and parsers for scientific data from R&D lab instruments, manufacturing, CRO, CDMO, ELN, and LIMS sources, handling formats such as .xlsx, .pdf, .txt, .raw, .fid, and many vendor binaries.
- Deploy and test solutions in cloud, on-premises, and hybrid customer environments, troubleshooting across the full stack when issues arise.
- Partner with product managers, solution architects, business analysts, data architects, and ML engineers to understand requirements, recommend outcomes, and build best-in-class data products through consensus.
- Create and enforce designs backed by comprehensive test automation to prove expected behaviors.
- Lead process and technology improvements supporting product quality, developer experience, and platform capabilities.
- Rally the team to complete Agile sprint commitments, surfacing team inefficiencies and resolving them.
- Provide mentorship to junior scientific data engineers and demonstrate leadership across projects.
What you bring
- 8+ years building data products as a Data Engineer or in a similar field.
- 8+ years working in Python and SQL with a focus on data, integrations, and scientific applications.
- Expertise in Python and working knowledge of JavaScript, TypeScript, Node, and React.
- Experience leading customer-facing implementation projects across cross-functional teams, managing requirements, timelines, and delivery milestones.
- Experience working with non-clinical data and lab scientists.
- Familiarity with the biotech and pharmaceutical industry and regulated environments such as GxP.
- Familiarity with networking, CI/CD, and full stack development.
- Familiarity with cloud engineering on AWS, including S3, Lambda, ECS, SQS, SNS, EC2, and CloudWatch.
- Excellent communication skills, attention to detail, and the confidence to take control of project delivery.
- Ability to quickly understand a highly technical product and communicate effectively with customers and product and engineering leadership.
Benefits
- Competitive compensation
- Stock options in a VC-backed Series C company
- 100% employer-paid benefits for eligible employees and immediate family members
- 401(k)
- Unlimited paid time off (PTO)
- Flexible working arrangements
- Company-paid Life Insurance, LTD/STD
Technologies: Python, SQL, JavaScript, TypeScript, Node, React, AWS, S3, Lambda, ECS, SQS, SNS, EC2, CloudWatch, CI/CD, ELN, LIMS, MES, GxP, Agile, R&D, serverless push and pull pipelines, stateful connectors.
