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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Life Sciences Analyst, AI Model Training - **Company:** Norstella - **Location:** UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Cleansing, Data Files, Data Transformation, Data Flow Control, Graph Database, Machine Learning, Language Modeling, Systems Development Life Cycle, Software Engineering, Large Language Models, Generative AI, Information Technology - **Published:** July 25, 2026 - **Apply:** https://dejobs.org/x/x/04329FEE35804AD8A2D463D08791F5DB/job/ ## About the Role * Graduate degree in life sciences, medical sciences, computer science or equivalent professional experience. * At least 3 years of professional experience in production-grade life science datasets, including with AI-enabled applications. * Experience working with structured publishing platforms and data tools; comfort with automation concepts * Experience working with and statistically analysing large and complex data sets, including data cleaning and preprocessing. * Excellent problem-solving skills and the ability to work independently. * Excellent communication skills, especially between technical and non-technical teams. Preferred: * Experience working with Generative AI, especially LLMs, including agents, throughout the entire software development lifecycle (SDLC). * Experience creating MCPs and consuming them into Agentic workflows. * Experience in fast-paced, novel product development. Our Guiding Principles for success at Norstella: * Bold, Passionate, Mission-First * Integrity, Truth, Reality * Kindness, Empathy, Grace * Resilience, Mettle, Perseverance * Humility, Gratitude, Learning ## Description * As a Senior Life Sciences Analyst for Model Training at Norstella, you will sit at the intersection of deep clinical and scientific domain expertise and applied AI development. * This role will be embedded within a group of life science thought leaders, but will interface across cross-functional teams of data scientists, machine learning engineers and data engineers. * Your work centers on the preference and judgment layer of model development - through scoring and ranking outputs, you will calibrate models on dimensions of quality, accuracy and clinical reasoning such that they are able to handshake with persona use cases. * Your judgment becomes the signal that bridges a capable model and a genuinely useful one, and will play a critical role in our efforts to deliver predictive analytics and insights across clients. * Travel: None required, * Evaluate model outputs across clinical, regulatory, and life sciences tasks by rating individual responses, ranking pairs and lists, and rewriting outputs to demonstrate the preferred response. * Define and maintain evaluation rubrics, preference dimensions, and quality criteria (factual accuracy, clinical reasoning quality, etc) that govern model outputs and preference alignment. * Act as an expert-in-the-loop for how life science models are commercialized with clients, including ongoing support for implementation. * Advise and assist with interpretation of model behavior, bridging the desired behavior back to the dataflow inflection point, working with the relevant teams to adjust as needed. * Partner with data scientists and MLEs to walk feedback into data collection pipelines. * Conduct red-team and adversarial evaluation of models, surfacing subtle failure modes - hallucinations, citation errors, unsupported clinical claims, regulatory missteps - that automated metrics cannot reliably catch. * Analyze preference data and model behavior to identify systematic gaps, then partner with the fine-tuning SMEs and the data science team to decide how each gap is addressed through preference data. * Conduct new proofs of concept for novel domain capabilities. * Contribute to Norstella's knowledge graph and taxonomy work and help design new agentic workflows based on domain-grounded language models. ## Related Videos - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [RPA in the Public Sector](https://www.wearedevelopers.com/videos/86-rpa-in-the-public-sector) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Introduction to TXT](https://www.wearedevelopers.com/videos/30-introduction-to-txt) - [AI That Fits Your Business, Not the Other Way Around](https://www.wearedevelopers.com/videos/100148-ai-that-fits-your-business-not-the-other-way-around) - [Anomaly Detection - Using unsupervised Machine Learning for detecting anomalies in customer base](https://www.wearedevelopers.com/videos/6-anomaly-detection-using-unsupervised-machine-learning-for-detecting-anomalies-in-customer-base) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Got AI ideas but no money? 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