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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Life Sciences Analyst, AI Model Training - **Company:** Managed Markets Insight & Technology, LLC - **Location:** Morrisville, PA, United States - **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 26, 2026 - **Apply:** https://www.juju.com/job/00000000gjij3c ## About the Role We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication. 04: Resilience, Mettle, Perseverance We will persevere - even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission. 05: Humility, Gratitude, Learning We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking. Qualifications: The skills you bring to the table: * 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. Bonus points if you have experience in: * 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. ## 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. Responsibilities: * 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. The guiding principles for success at Norstella: 01: Bold, Passionate, Mission-First We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do. 02: Integrity, Truth, Reality We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals. ## Related Videos - [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) - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [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) - [The shadows that follow the AI generative models](https://www.wearedevelopers.com/videos/624-the-shadows-that-follow-the-ai-generative-models) ## Related Articles - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [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) - [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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)