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.
What You Will Do- Responsible for designing, developing, training, and validation of AI/ML products
- Support and advise executive leadership regarding technical and commercial feasibility
- Work with commercial teams to understand the impact of AI in life-sciences
- Collaborate with cross functional teams to build products
The core of TetraScience is helping Pharmaceutical companies organize, contextualize, and make their data accessible. This allows the Applied AI team to focus on building the tools to solve problems rather than focusing on the plumbing (the data is already AI-ready). We are looking for people who want to use their skills to have an outsized impact, by building tools to accelerate the drug discovery process not just for one company but for many companies at once. We have a number of projects looking for someone to lead the AI project development, including ML-reinforcement learning with large continuous datasets and developing LLM agent harnesses, governance, and evaluation metrics. While the team actively learns from each other and shares knowledge and best practices, it is expected that someone in this role is capable of working independently as needed and has the required skills to develop the AI/ML applications in at least one of these areas.
Requirements
- You will be a critical team member in a unique partnership to industrialize Scientific AI. As such, you will engage directly with customers onsite up to 4-5 days per week in the Boston region.
- Advanced degree in Biological, Data, or Computer Science
- 10+ years of AI/ML development experience, or 5+ years developing AI/ML tools for commercial life sciences, healthcare, or regulated environments.
- Portfolio demonstrating end-to-end ownership of AI/ML products
- Proven track record of deploying AI models addressing real world problems
- Superior talent developing at least one of: ML reinforcement learning, fine tuning, or automated retraining; LLM agentic governance including guardrails and evaluations
Preferred Qualifications
- Degree in AI or ML
- Deep understanding of hurdles facing pharmaceutical drug development
- Demonstrated ability to make productized applications (for use by more than one group)
- Excellent communication skills
- Ability to advocate and evangelize for AI initiatives internally and externally
- Experience collaborating with teams on large software projects
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 $150K-$240K 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
Skills Required
- Engage directly with customers onsite up to 4-5 days per week in the Boston region
- Advanced degree in Biological, Data, or Computer Science
- 10+ years of AI/ML development experience, or 5+ years developing AI/ML tools for commercial life sciences, healthcare, or regulated environments
- Portfolio demonstrating end-to-end ownership of AI/ML products
- Proven track record of deploying AI models addressing real world problems
- Expertise in at least one: ML reinforcement learning, fine-tuning, or automated retraining
- Experience with LLM agentic governance including guardrails and evaluations
- Degree in AI or ML
- Deep understanding of hurdles facing pharmaceutical drug development
- Demonstrated ability to make productized applications for multiple groups
- Excellent communication skills and ability to evangelize AI initiatives
- Experience collaborating with teams on large software projects
What We Do
Biopharma R&D runs on data trapped in silos. Every instrument, ELN, and LIMS writes results in its own format, so most of what a scientist learns in one experiment never reaches the next. That's a big reason drug development costs keep climbing even as computing power gets cheaper. TetraScience builds Tetra OS, the operating system for scientific intelligence. It sits above and alongside a company's existing instruments, ELNs, and LIMS, works across any vendor, and turns raw scientific data into structured, AI-ready intelligence. Four components make it work. The Scientific Data Foundry ingests data from any source and converts it into governed, machine-readable data at scale. The Scientific Use Case Factory turns one-off workflows into reusable, validated ones deployed across sites. Tetra AI reasons and orchestrates on top of that foundation, grounded in real data instead of guessing. Sciborg teams, our embedded scientist-engineers, work inside customer organizations to get all of it adopted, not just installed. These parts compound. Better data makes workflows faster to build. Workflows generate better data. The result is intelligence that gets more valuable with use instead of resetting on every new project. Customers include Takeda, Bayer, Regeneron, Roche and and AstraZeneca, alongside partners like NVIDIA, Databricks, and Thermo Fisher Scientific. One top-20 pharma customer connected over 1,000 instruments, processed a petabyte of data in a year, and cut 20,000 hours of administrative work. Founded by Patrick Grady and Spin Wang, headquartered in Boston with a European base in Basel. Mission: radically improve and extend human life.
Why Work With Us
We're building the operating system underneath scientific R&D, not another point tool. Work touches real drug development at Takeda, Bayer, and Novartis. Every employee sees the same financials the board sees. We hire people who reason from first principles and run at hard problems.
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