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 authored "The Tetra Way" 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.
As General Counsel, you will report to the [CEO]. You will work with departments across the company, both within the US and globally, to provide leadership and advice on a wide range of industry and commercial legal matters.
What You Will Do- Develop and lead the company's legal strategy and risk management
- Ensure compliance across all jurisdictions where the company operates
- Draft, review, and negotiate complex B2B SaaS agreements, master service agreements (MSAs), data processing agreements (DPAs), and vendor contracts, ensuring terms protect the company's interests while facilitating a streamlined sales cycle
- Collaborate closely with product, engineering, and security teams to identify and mitigate legal risks related to data protection, intellectual property (IP), and the handling of sensitive data across all product development and service delivery
- Partner cross-functionally to understand business needs, improve processes, and provide right-sized legal support to enable the achievement of corporate goals
- Develop and drive policies and procedures designed to enhance regulatory and business standards compliance and support the company’s objectives
- Supervise and coordinate with outside counsel as necessary
Requirements
Qualifications
- JD from an accredited law school and a member in good standing of the candidate’s state of residence State Bar Association
- 10 - 15+ years relevant legal experience in a combination of large law firm and in-house roles at pharmaceutical or biotech companies
- Senior leadership experience
- Experience in the pharmaceutical/biotech industry is required, preferably with a strong life science practice experience
- Extensive knowledge of the software and SaaS sector is essential, along with a deep understanding of the legal and regulatory environment of the pharmaceutical or life sciences industries
- Experience counseling technology product teams, especially those building B2B products and services
- Experience with SaaS licensing
- Proven track record of strategic thinking, problem-solving, and managing a high volume of complex legal matters in a fast-paced environment
- Exceptional attention to detail and client counseling skills
Benefits
- 100% employer-paid benefits for all eligible employees and immediate family members
- Unlimited paid time off (PTO)
- 401K
- Company paid Life Insurance, LTD/STD
The salary range for this position is $280,000-$400,000. 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.
Skills Required
- JD from an accredited law school; member in good standing of State Bar Association
- 10 - 15+ years relevant legal experience in large law firm and in-house roles
- Senior leadership experience
- Experience in pharmaceutical/biotech industry
- Extensive knowledge of software and SaaS sector
- Experience counseling technology product teams
- Proven track record of strategic thinking and problem-solving
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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