At a Glance
- Tasks: Identify and implement AI solutions to improve processes in a dynamic environment.
- Company: Join Instem, a leader in innovative SaaS solutions for life sciences.
- Benefits: Enjoy flexible working, competitive salary, healthcare, and career development opportunities.
- Other info: Collaborative culture with a focus on personal growth and meaningful contributions.
- Why this job: Be a pioneer in AI improvement and make a real impact in drug discovery.
- Qualifications: Hands-on experience with AI tools and a passion for process improvement.
The predicted salary is between 70000 - 90000 £ per year.
Location: Stone, Staffordshire (Hybrid working, 2 days a week in our Stone Office)
Status: Permanent
Package: Competitive Salary, Flexible Working, Development & Opportunity (Personal & Technical), Private Medical (Optical & Dental options), Matching Contributory Pension, 25 Days Leave + Public Holidays + Buy and Sell Scheme, Life Insurance, Referral Scheme, Employee Assistance Program, Benefits Hub.
At Instem, you’ll empower pharmaceutical companies, CROs, government agencies, academic institutions, by providing cutting-edge SaaS solutions and consultancy services designed to help researchers make discoveries, and to accelerate and advance their research programs. You’ll work with technology that supports over 50% of global drug discovery and is trusted by leading pharmaceutical, biotech and CRO organisations worldwide.
This role picks up from improvement opportunities identified through the TOM Programme and drives them from prioritisation through to built solution and sustained adoption. A business-facing role sitting within the Architecture Practice, working at the intersection of continuous improvement and hands-on AI delivery. This person partners with business functions across Instem to identify process improvement opportunities, then designs and builds the AI-powered agents, workflows, and reusable components that make those improvements real.
Our Culture & Work Environment: You’ll be part of a friendly, solutions-focused environment within a global business of over 400 people. Here, you’ll experience a high-performance culture balanced with genuine flexibility - we trust you to take ownership, deliver meaningful results, and work in a way that suits you. You’ll be encouraged to grow, share your ideas, and make a real impact. We’re passionate about creating a place where you can develop your skills, contribute confidently, and succeed in your career.
What You’ll Be Doing:
- Opportunity Identification & Prioritisation: Work with business teams to translate process improvement opportunities from the TOM Programme into a prioritised pipeline of AI-enabled initiatives. Facilitate working sessions with function teams to identify where AI, automation, or smarter tooling could reduce effort, eliminate repetition, or improve outputs. Prioritise opportunities by value, feasibility, and readiness, and maintain visibility of the improvement pipeline across functions.
- AI Solution Design & Build: Design and build AI-powered workflows and automations that address identified improvement opportunities – constructing production-ready solutions, not one-off demonstrations. Build and deploy AI agents using Instem's agentic ecosystem (e.g., Cowork, Claude Code, MCP servers, skills, and plugins) combining and extending components to meet each function's needs. Develop reusable skills, prompt libraries, and agentic components that build a shared toolkit across the organisation. Own end-to-end solution delivery: design, build, test, iterate, and hand over – with a clear definition of done for each initiative.
- AI Capability Championing & Enablement: Act as Instem's internal authority on getting the most from AI tooling – proactively identifying where teams are underutilising platform capabilities and demonstrating what is possible. Champion advanced use of AI platforms: introduce functionality teams may not be aware of, and build worked examples and reference patterns for others to follow. Run targeted, practical enablement sessions tailored to each team's specific tools and workflows – not generic AI training. Stay current with AI tooling developments and identify where emerging capabilities create new improvement opportunities.
- Adoption, Governance & Standards: Support teams through adoption of new workflows – acting as an embedded partner, producing handover documentation and runbooks, and iterating where adoption falls short. Ensure all solutions are designed and operated in accordance with Instem's AI usage policies, data handling standards, and Quality Management System. Work within the Architecture engagement model for agents and automations; engage Architecture review where required and contribute outputs back to the practice. Flag data, security, and compliance risks early and route them through the appropriate channels.
What We’re Looking For: We're looking for people who build, not just people who use. As part of the application and interview process, shortlisted candidates will be asked to demonstrate an AI solution, workflow, or agent they have personally designed and built – walking through the problem it solves, the design decisions made, and what they'd do differently. A polished result matters less than evidence of genuine hands-on experience and the ability to think through a real problem.
Essential:
- Demonstrable, hands-on experience building AI agents, automated workflows, and AI-powered solutions in a professional context – constructing and deploying working solutions, not just using AI tools.
- Practical proficiency with agent build platforms (e.g., Cowork, Claude Code, MCP servers, skills and plugins) or demonstrable ability to ramp quickly on Instem's agentic ecosystem.
- Experience identifying and scoping process improvement opportunities through structured discovery with business teams.
- Hands-on experience with no/low-code automation tools (e.g. Power Automate, Make, Zapier) in addition to AI-specific build tooling.
- Ability to produce reusable components – prompt libraries, skills, workflow templates, and patterns others can adopt and extend.
- Strong facilitation skills – able to run working sessions with non-technical teams and surface genuine insight.
- Strong written communication – user guides, runbooks, adoption materials, and build documentation.
- Awareness of AI governance and data handling considerations in a regulated enterprise environment.
- Bachelor's degree in a relevant discipline, or equivalent practical experience.
Desirable:
- Experience in a regulated industry – life sciences, healthtech, or GxP environments.
- Familiarity with process improvement methodologies (e.g. Lean, Six Sigma, BPM) or process modelling notation (BPMN).
- Experience with Microsoft 365 Copilot, Power Platform, or comparable enterprise AI tooling.
- Proficiency in Python or TypeScript – useful for extending solutions where no-code tooling falls short.
- Background in change management or organisational enablement.
- Knowledge of Instem's Quality Management System and its application to this role.
What We Offer: We invest in you because you’re at the heart of our success. Depending on your location, you’ll have access to a range of benefits, including:
- Comprehensive Healthcare (Medical, dental, vision, life, and more)
- Comprehensive wellbeing and support initiatives
- Clear career pathways to support you with getting to the next level
- Pro-rated and immediate vacation days
- Continuous training and development
- Generous retirement plans
Ready to Make a Difference? Join a team that values your perspective and supports your growth, while helping shape the future of life sciences. Apply now - we’d love to hear from you, and our Talent team will be in touch.
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Instem stores and processes data using an Applicant Tracking System (ATS). For more information regarding our privacy policy use the following link: Privacy Policy.
AI Improvement Specialist employer: Instem
At Instem, we pride ourselves on being an exceptional employer, offering a dynamic and supportive work environment in Stone, Staffordshire. Our hybrid working model promotes flexibility, while our commitment to employee development ensures that you can grow both personally and technically. With a competitive benefits package, including private medical options and generous leave, you'll find a culture that values your contributions and encourages you to make a meaningful impact in the life sciences sector.
StudySmarter Expert Advice🤫
We think this is how you could land AI Improvement Specialist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Instem!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Improvement Specialist at Instem.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Instem.
✨Apply Directly through Our Website
When you find a suitable opening like AI Improvement Specialist at Instem, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI Improvement Specialist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Instem, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Instem. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Instem
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Instem!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
