TetraScience

Scientific Data Architect - Tarrytown, NY

TetraScience 📍 New York, USA 🏢 On-site Posted Aug 18, 2026 via TetraScience careers
full-time 📂 Technology & IT 🏢 On-site 🏭 Technology

✨ Job Highlights

  • ★Pay: $140,000 to $240,000 a year
  • ★On-site: New York
  • ★Full-time role in technology & it
  • ★Experience asked for: 8+ years
  • ★Education: PhD or doctorate
  • ★Apply directly on TetraScience's careers site
  • ★Posted August 18, 2026

Full Job Description

Scientific Data Architect - Tarrytown, NY job at TetraScience in New York

TetraScience is hiring a Scientific Data Architect - Tarrytown, NY in New York. The job is full-time and office based. The advertised pay is $140,000 to $240,000 a year.

TetraScience describes the job as follows.

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.

Who You Are

You are a product-minded, outcome-obsessed driver of technical scientific solutions.

You are a high velocity self-starter. You refuse to let uncertainty obstruct your path to designing and building solutions.

You roll up your sleeves, try things out, and get things done. You do not hesitate to prototype, demo, and build in order to accelerate delivery of products for your end users.

You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data.

With rich experience applying cutting edge data methodologies to the biopharma R&D domain, you bridge understanding between present-day pain points and generalizable solutions.

You are an insatiable learner, with a track record of deeply learning new tools, methods, and domains.

You fundamentally embody the principles of extreme ownership and have a demonstrated history of building extensible data models and applications for Biopharma end users to maximize value from their data via analysis and integration with AI/ML.

This role will require extreme self-discipline and determination as we forge a category that will fundamentally and forever change the life science industry.

Requirements

What You Have Done

You deeply understand the life science R&D data ecosystem - you’ve felt the pain of brittle, bespoke workflows with fractured data, and you’ve actively worked to solve this. In our experience, the candidates with this experience bring the following background:

  • PhD with +4 years, Masters with +6 years, or Bachelors with +8 years of industry experience in life sciences with extensive domain knowledge in drug discovery (target ID through lead optimization), preclinical development, CMC (all drug modalities), product quality testing, or pharma manufacturing.
  • Proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments
  • Designed scalable and reusable data architecture
  • Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders.
  • Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible.
  • Engage diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities.
  • Advised scientists in a consulting capacity to further research, development, and quality testing outcomes.
  • Augmented your technical, business, and communication work through agentic development and knowledge work
  • Nice to have: Hybrid dry lab / wet lab experience
  • What You Will Do

  • You will be a critical team member in a unique partnership to industrialize Scientific AI. As such, you will engage directly with customers onsite a couple of days per week in the assigned geographic region, building strong relationships, deeply understanding their scientific data challenges and requirements, and accelerating solutions.
  • Design and implement extensible, reusable data models that efficiently capture and organize scientific data for scientific use cases, ensuring scalability and future adaptability.
  • Translate scientific data workflows into robust solutions leveraging the Tetra Data Platform.
  • Own, scope, prototype, and implement solutions including:
  • Data model design
  • Python-based pipeline development.
  • Lab software (e.g., ELN/LIMS) integration via APIs.
  • Data visualization and app development
  • Scientific agents
  • Leverage agentic development tools like Claude Code and Codex to contribute to discovery, prototyping, and development
  • Collaborate with Scientific Business Analysts (SBAs), customer scientists and applied AI engineers to develop and deploy models (ML, AI, mechanistic, statistical, hybrid) and agents
  • Interface directly with scientific end users and technical stakeholders to rapidly drive solution development and adoption through regular demos and meetings
  • Proactively communicate implementation progress and deliver demos to customer stakeholders.
  • Collaborate with the product team to build and prioritize our roadmap by understanding customers’ pain points within and outside Tetra Data Platform.
  • Rapidly learn new technologies to develop and troubleshoot use cases
  • Must be able to travel to client sites in local geographic areas
  • 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
  • A culture of continuous improvement where you can grow your career and get coaching
  • We are not currently providing visa sponsorship for this position.

    The salary range for this position is $140,000 - $240,000. 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.

    Questions about this job

    How much does this Scientific Data Architect - Tarrytown, NY job pay?

    TetraScience advertises $140,000 to $240,000 a year for this role.

    Can I work remotely in this job?

    No, it is an on-site job in New York.

    What does TetraScience look for in candidates?

    The posting mentions at least 8 years of relevant experience, a phd or doctorate or equivalent and skills such as Python and Snowflake. Read the full description above for the complete list.

    How do I apply for the Scientific Data Architect - Tarrytown, NY job?

    Use the apply button on this page. It takes you to TetraScience's own application form, so your CV goes directly to their hiring team.

    Is this job still open?

    TetraScience published the role on August 18, 2026. We check the employer's job board every day and take this page down when the role closes, so if you can read it, the job was still listed at our last check.

    Source: TetraScience careers page (apply.workable.com). Applications go straight to the employer. We check the listing daily and remove it once it closes.

    Required Skills

    Python Snowflake

    🏢 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…

    Industry: Technology

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    $140,000 - $240,000 / yearly

    Yearly salary

    Apply on Company Site ↗
    🏢 Company TetraScience
    📍 Location New York, USA
    💼 Job Type full-time
    🌐 Work Mode 🏢 On-site
    🏭 Industry Technology
    🗓 Posted Date Aug 18, 2026
    🎯 Experience 8+ years
    🎓 Education PhD or doctorate
    📅 Deadline Dec 15, 2034

    About the Company

    TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the…

    View Company →