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AI Improvement Specialist

Remote / Online - Candidates ideally in
Boston, Suffolk County, Massachusetts, 02108, USA
Listing for: Instem
Part Time, Remote/Work from Home position
Listed on 2026-08-05
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Job Description & How to Apply Below

AI Improvement Specialist

Location:

Hybrid
- Boston (2 days a week in our Boston Office)

Status:
Permanent

Package:
Competitive Salary, Remote/Home Working (with one-off allowance), Flexible Working, (2 Days in the office for our Hybrid workers) Development & Opportunity (Personal & Technical), Medical Insurance, Dental Insurance, Vision Insurance, Life Insurance, Long Term & Short-Term Disability Insurance, Generous 401K (matching) Plan, Flexible Spending Account, Health Savings Account, 15 Days' Vacation + Plus Public Holidays + Buy and Sell Scheme.

At Instem, you'll empower pharmaceutical companies, CROs, government agencies, 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 is also Instem's internal champion for getting the most from AI tooling – spotting where teams are under utilising what is available, demonstrating what is possible, and building the patterns others can follow. The 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.

Why join us as a AI Improvement Specialist?

The role is a brand new role & one of a kind for Instem!

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 under utilising 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…

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