Pay
In line with similar jobs
$140K–$200K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Cambridge, Massachusetts, United States
Open 4 months, first seen by us 144 days agoCompany paid Life Insurance, LTD/STD. The salary range for this position is $140K-$200K USD. The salary range posted reflects our target baseline for this role. Final compensation is determined by a thorough evaluation of factors including the candidate’s specific experience, localized market data, and internal team equity. This position isn't eligible for visa sponsorshipRead the full posting
Work setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
This position isn't eligible for visa sponsorship
Lead the Scientific Data Engineering team and mentor junior engineers
Build data schemas and parsers for lab instrument and CRO/CDMO data formats
Productize reusable schema and parsing components as Python libraries
Build data pipelines with full unit and integration test coverage
Build data applications and dashboards using React, Streamlit, or Jupyter
You will be leading the Scientific Data Engineering (SDE) Team
Use AI agents to build comprehensive data schemas and parsers for pre-clinical data
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
Build data applications, reports, and dashboards using React, Streamlit, Jupyter notebook, etc.
8+ years of building data products 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.
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
From the employer’s posting.
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.
In the employer’s words · Read in context
Open 4 monthsWe first saw this posting 144 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
In line with similar jobs
$140K–$200K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 144
Up longer than most. Similar jobs usually come down between day 6 and day 54.
From 10,824 similar postings that came down. Coming down is not always a hire.
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Use 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 - 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
- 8+ years of building data products 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
About TetraScience 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.
- 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. - Work closely with product managers, project managers, business analysts, data architects, and ML engineers to deliver best-in-class data products
- 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
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Yes. We’ve followed 2 other Senior Scientific Data Engineer jobs there since October 2026. All 2 are still up.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
About TetraScience
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:
What You Will Do
You will be leading the Scientific Data Engineering (SDE) Team and helping build Tetra Data and productizable solutions, which is the foundation of the Data Engineering layer. We are looking for a data engineer who is experienced, hands-on, and can also provide mentorship to junior team members. As a Senior Scientific Data Engineer, you should be comfortable leading internal design sessions and architecting solutions. You will work directly with Product Managers and Solution Architects to gather business and data design objectives, resulting in production-based solutions. As a Senior Scientific Data Engineer, 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.
Requirements
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.
The salary range for this position is $140K-$200K USD. The salary range posted reflects our target baseline for this role. Final compensation is determined by a thorough evaluation of factors including the candidate’s specific experience, localized market data, and internal team equity.
This position isn't eligible for visa sponsorship
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Company paid Life Insurance, LTD/STD. The salary range for this position is $140K-$200K USD. The salary range posted reflects our target baseline for this role. Final compensation is determined by a thorough evaluation of factors including the candidate’s specific experience, localized market data, and internal team equity. This position isn't eligible for visa sponsorship
Cambridge, Massachusetts, United States
Working pattern and location restrictions need checking in the full posting.
The salary range for this position is $140K-$200K USD. The salary range posted reflects our target baseline for this role. Final compensation is determined by a thorough evaluation of factors including the candidate’s specific experience, localized market data, and internal team equity. This position isn't eligible for visa sponsorship