> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt. # Scientific Data Architect - Central US Canonical URL: https://nextmove.md/fde/jobs/ddb4941bb2ea82c0 TetraScience posts a FDE role to build what the customer runs in Saint Louis, MO, at $140,000–$240,000 base, level with the senior FDE median of $190,000 across 1,863 postings with pay. This customer-facing Scientific Data Architect designs and implements reusable scientific data models and AI/ML-driven solutions for life-sciences R&D workflows. Read from the employer’s posting on November 6, 2026. - [TetraScience](https://nextmove.md/fde/companies/tetrascience) Published November 5, 2026 · Updated November 6, 2026 **$140,000–$240,000** Saint Louis, MO Yesterday This customer-facing Scientific Data Architect designs and implements reusable scientific data models and AI/ML-driven solutions for life-sciences R&D workflows. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Fddb4941bb2ea82c0&placement=top) - [View posting at TetraScience](https://apply.workable.com/j/763BDB572B/apply) Free for you. Upload your resume once, see which FDE postings fit you and why, and get introduced when you say so. We never share your profile with employers without your permission. ## At a glance ### Posted base pay $140K–$240K Level with the median This job $140K to $240K. Typical senior FDE pay, the middle 50% of 1,863 postings: $160K to $220K, median $190K. ### The work Builds what the customer runs Balance 1. Mostly building 2. Mixed 3. Mostly pre-sales or support Project stages 1. Pre-sales (not covered) 2. Proof of concept 3. Implementation 4. Operations (not covered) Travel **Required, amount not stated** - **Coding**: Writes production code - **Builds for**: External customers - **Level**: Senior - **Role**: Individual contributor ### What they ask for Experience - **4+ years** Life sciences industry experience with a PhD - **6+ years** Life sciences industry experience with a Master’s degree - **8+ years** Life sciences industry experience with a Bachelor’s degree Visa - **No visa sponsorship** ### Do you meet what the posting states? The posting asks for 4+ years. How many do you have? The job is in Saint Louis, MO. Could you work there? The posting says no visa sponsorship. Do you need one? Which of these have you used in production? Answer each one. Nothing is saved or sent. [What postings ask for, by background →](https://nextmove.md/fde/paths) ## More like this [Addepar](https://nextmove.md/fde/companies/addepar) ### [Software Engineer - Customer Facing Applied AI ](https://nextmove.md/fde/jobs/3105d462bda5f594) US Remote 3w ago $163,000–$203,500 [Varick-Agents](https://nextmove.md/fde/companies/varick-agents) ### [Senior Forward Deployed Engineer](https://nextmove.md/fde/jobs/c0e43d77dbd84030) San Francisco, CA On-site 6w ago $175,000–$250,000 [Talkdesk](https://nextmove.md/fde/companies/talkdesk) ### [Forward Deployed AI Engineer](https://nextmove.md/fde/jobs/71bb34cf6e268fcd) Bellevue, WA 2w ago $170,000–$200,000 - [Other jobs at TetraScience (2)](https://nextmove.md/fde/companies/tetrascience) ## The job description from TetraScience ### Description ### 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 3-4 days per week ### 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. [View posting at TetraScience](https://apply.workable.com/j/763BDB572B/apply) ## About TetraScience TetraScience provides a scientific data and AI platform that harmonizes life-sciences data for analytics, lab workflows, and AI. 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Email info@nextmove.md and we take it down. ## Conditions - **Location**: Saint Louis, MO - **Employment type**: Full-time - **Visa sponsorship**: Not available - **Travel**: Travel required, amount not stated - **Pay**: Employer postings · [How we read postings](https://nextmove.md/fde/method)