Founding Operator & Systems Builder (AI-Native) – Clinical Research SMO

@Aaleen110

Your vision for an AI-native SMO resonates with my experience building automated workflows for high-compliance environments where data integrity and operational velocity are non-negotiable. Having previously architected scalable multi-site frameworks, I understand that the primary bottleneck in clinical research isn't just patient recruitment—it’s the friction in site management, regulatory documentation, and cross-site data synchronization. I am ready to bridge that gap by deploying custom AI agents and structured data pipelines that transform manual oversight into a scalable, high-margin engine from day one. I will execute this by building a modular technical stack leveraging Python-based LLM orchestration for automated patient pre-screening and feasibility assessments. I’ll implement RAG (Retrieval-Augmented Generation) workflows to parse complex trial protocols into actionable site SOPs, ensuring rigorous compliance while significantly reducing the administrative overhead for your clinical staff. We will integrate these AI layers with a centralized CTMS via robust APIs, creating real-time visibility into enrollment metrics and regulatory timelines across all national sites. This "security-first" architecture ensures every automated touchpoint adheres to strict HIPAA and SOC2 standards without sacrificing the agility needed for a successful founding phase. To ensure we build for the right scale, are you prioritizing specific therapeutic areas for the initial launch, or is the focus on a broad-spectrum infrastructure? I’d also like to know if you have a preferred CTMS or if you're looking for a recommendation on a headless solution that integrates seamlessly with custom AI layers. I am available to jump on a brief call to align on the immediate 30-day roadmap or can continue the conversation here—let me know which you prefer.

@SkillCrafts

I specialize in bridging the gap between high-level operational strategy and the technical execution required to scale national infrastructure. Building an AI-native Clinical Research SMO is a sophisticated challenge that requires an architecture where automation is baked into the regulatory and recruitment DNA from day one. Having built automated enrollment pipelines for clinical trials, I understand how to disrupt the traditional SMO model through a lean, technology-first approach that prioritizes data integrity and speed over the manual overhead typically found in legacy research environments. I will architect a modular automation stack for rapid national scaling, leveraging Python-based workflows or enterprise integration platforms to bridge site EMRs with your central management system. I'll implement custom LLM agents to automate labor-intensive aspects of patient pre-screening and regulatory documentation, ensuring high-fidelity data capture without administrative bloat. By establishing a centralized, HIPAA-compliant data infrastructure, we can create a "command center" view of all sites, allowing for real-time adjustments to recruitment strategies and site performance metrics from a single source of truth as you expand your national footprint. Do you have specific clinical trial protocols in the pipeline, or is the priority building the foundational platform for future site acquisition? I’m also curious about your preferred degree of human-in-the-loop oversight for the AI-driven screening processes. I’m ready to help you turn this vision into a scalable reality and would welcome a discussion on the technical milestones you’re aiming for this quarter. Let’s chat here or jump on a brief call to align on the immediate architecture requirements.

@dvcontact

Hello Sir, What if we could revolutionize clinical research management with an AI-native system before any commitments? My expertise in designing automated operational workflows will ensure a seamlessly scalable infrastructure tailored for your SMO needs. Let's connect to discuss how we can transform your vision into a robust, efficient reality. Best, Smith

@rbtech1984

Hello There!!! ★★★★ (Building AI-Native Clinical Research Operations) ★★★★ I understand you need a founding operator to design and implement an AI-native operational backbone for a national SMO. The role includes mapping workflows, creating SOPs, building automated site management and CTMS systems, and improving scalability and compliance while replacing manual spreadsheets. ⚜ Map clinical research workflows into clear processes and SOPs ⚜ Design AI-supported operations stack for site management ⚜ Collaborate with product/engineering to implement internal tools ⚜ Set up dashboards, tracking, and automated reporting ⚜ Identify bottlenecks and propose scalable system improvements ⚜ Ensure compliance with clinical systems and regulated workflows ⚜ Continuously optimize AI and automation adoption in operations I bring hands-on clinical trial and SMO experience, CTMS familiarity, and a systems-thinking approach. I focus on designing repeatable, scalable processes that integrate AI efficiently. I’ll work closely to align operations with your vision and tech stack. Excited to help build your AI-native SMO from the ground up! Warm Regards, Farhin B.

@zeldac1

Hi there, I read that you’re building an AI-native SMO platform and want to move away from spreadsheets for site management, study startup, and patient recruitment. I saw the emphasis on mapping clinical workflows into SOPs and designing an AI-enabled ops stack for CTMS-related tasks. Quick insight: misaligned data schemas between CTMS and automation tools is a common bottleneck in early-stage clinics. My approach: • map current workflows into clear SOPs • design an AI-assisted ops stack for site mgmt and CTMS tasks • build dashboards that replace ad-hoc reports • verify compliance across audits. I recently redesigned trial ops workflows to cut manual steps by 40% and improved data accuracy. Best regards, Thando

@sadam61

Hi, I'm excited about the opportunity to contribute to the launch of your AI-native Clinical Research Site Management Organization. With over 9 years of experience in building automated systems and optimizing operations, I am confident in my ability to help design and implement a robust operational framework for your evolving needs. I've worked on similar projects in clinical settings, where I mapped workflows into clear SOPs and developed automation tools that significantly improved efficiency and compliance. My hands-on experience with clinical systems and a systems-thinking mindset enable me to align technical solutions directly with clinical operations. I can start immediately and am ready to collaborate closely with your leadership team. I look forward to discussing how we can embed AI in clinical operations, transforming how your organization functions.

@haseebsidd07

Hey , I just finished reading the job description and I see you are looking for someone experienced in AI (Artificial Intelligence) HW/SW, Data Analysis, AI Consulting, Data Management, AI Model Development, AI Development, Technical Documentation, Data Visualization, Project Management and Systems Engineering. This is something I can do. Please review my profile to confirm that I have great experience working with these tech stacks. While I have few questions: 1. These are all the requirements? If not, Please share more detailed requirements. 2. Do you currently have anything done for the job or it has to be done from scratch? 3. What is the timeline to get this done? Why Choose Me? 1. I have done more than 250 major projects. 2. I have not received a single bad feedback since the last 5-6 years. 3. You will find 5 star feedback on the last 100+ major projects which shows my clients are happy with my work. Timings: 9am - 9pm Eastern Time (I work as a full time freelancer) I will share with you my recent work in the private chat due to privacy concerns! Please start the chat to discuss it further. Regards, Haseeb,

@ml472

As a dedicated and forward-thinking operator and systems builder, I possess the essential combination of skills and experience to excel in the role of Founding Operator & Systems Builder for your AI-native Clinical Research SMO. Throughout my dynamic career, I have honed my abilities in operations design, change management, and process mapping--skills that are crucial to ensuring a seamless integration of AI into complex workflows like those of clinical trials and site management. Furthermore, my hands-on experience in clinical research tufted with the familiarity with clinical systems will enable me to quickly identify bottlenecks and propose effective solutions to ensure scalability, quality, and compliance without sacrificing the end-user experience. I have previously had success collaborating cross-functionally with technical teams like products, engineering, making me an asset as you work toward building a platform from the ground up. A unique value I can offer is my skills in streamlining operations using AI tools which could be instrumental in transforming your manual processes. Being an AI/automation-friendly person, I hold a vision that aligns with yours, ie., transforming inefficient legacy systems into tech-forward infrastructure. Given the opportunity to contribute to your ambitious project, I'll guarantee long-term commitment and an unwavering drive to create a cutting-edge SMO. My flexible availability to work remotely fits well with your team dynamics.

@PetrusLubbe

‼️ IF YOU’RE NOT HAPPY YOU DON’T PAY ‼️ I understand you're building a clean, professional, user-friendly, and seamless AI-native infrastructure to replace legacy spreadsheets and manual workflows in clinical research site management. Your need for integrated, automated systems aligns perfectly with my expertise. While I am new to freelancer, I have tons of experience in clinical trials and SMO operations, having designed and improved workflows and SOPs that streamlined patient recruitment and site management. I’m comfortable collaborating with technical teams to build scalable, AI-supported systems replacing manual processes. I would love to chat more about your project! COME CHAT WITH ME, WORST CASE YOU GET A FREE CONSULTATION. Regards, Pietie Lubbe

@manpreetkaur991

Hello, As a Senior Web and Mobile Developer with extensive experience in diverse technologies, I'm confident that I possess the essential skills to excel in your project. While my background may not be directly aligned with clinical research or SMO management, my proficiency in AI Development, Data Analysis, and Data Management is where our potential collaboration finds its sweet spot. Your project's vision of integrating AI into clinical operations resonates deeply with me and underscores why I believe I'm the right fit for the role of the Founding Operator & Systems Builder. In my past projects, I have successfully designed, implemented, and optimized numerous operational systems that exhibited a high degree of efficiency and reliability, two key factors that your project demands. My experience in mapping real-world workflows into automated systems will undeniably facilitate a smoother transition from legacy to tech-forward infrastructures. Additionally, collaborating with technical teams (like product, engineering, data) while ensuring SOPs are adhered to is something I've routinely done throughout my career. Finally, my proficiency in multiple back-end technologies integrated with a strong systems-thinking mindset empowers me to propose meaningful systems-level improvements that enhance scalability, quality control, and compliance—an edge that can make all the difference as we embrace new-age solutions for age-old problems. With Regards!

@Xakimbek007

Hi, I have hands-on experience in clinical research and SMO operations, including working with CTMS and eSource systems to streamline site management and patient recruitment workflows. I specialize in systems thinking, process mapping, and designing repeatable SOPs that replace manual spreadsheets with automated, scalable solutions. Relevant experience: • Mapped and optimized clinical trial workflows for site management, reducing manual effort and improving data accuracy • Collaborated with technical teams to implement dashboards, reporting tools, and workflow automations • Applied AI-friendly processes to improve study startup and patient recruitment efficiency I thrive in early-stage, fast-moving environments and can help design, implement, and continuously improve your AI-native operational backbone. I can provide detailed SOPs, dashboards, and process documentation, ensuring compliance and scalability. My rate: $5/hr, with availability of 48 hours/week. I am ready to start immediately and contribute to building a national SMO platform from the ground up.

@SidUSA

Hello!!! Quantum Code Solutions is ready to build your AI-native SMO infrastructure. The challenge in moving from spreadsheets to automated systems often lies in mapping clinical workflows to data schemas without losing compliance. Will the AI stack interface directly with an eSource API, and do you prefer the site dashboards to be built in a low-code environment like Airtable or a custom React-based internal tool? The team recently optimized a logistics platform where manual data entry was replaced by automated Python scripts and Selenium. By mapping the process into clear SOPs and using a centralized database, sync errors were eliminated and reporting speed increased. This systems-thinking approach will be applied to your CTMS and patient recruitment workflows to achieve true scalability. The rate is 8 USD/hr with 40 hours of weekly availability. Reach out to initiate a conversation! Best regards, Quantum Code Solutions

@fabians73

Hi there, I’ve read your mission and I’m excited by building an AI-native SMO from day one. I bring hands-on clinical research and SMO operations experience plus practical ML/LLM know-how, working with transformers, classification pipelines, vector search for retrieval, and integrating chatbots into workflows. I’ll map current workflows into SOPs, design an AI-first stack for CTMS/eSource integrations, and collaborate closely with product and engineering to spec automations, dashboards, and compliance-aware logging. I prioritize repeatable processes, measurable KPIs, and iterative rollouts that replace spreadsheets with tracked systems. I can start by reviewing existing workflows and delivering prioritized SOPs and a phased implementation plan within two weeks. Which top three pain points in your current workflows would you like us to eliminate first (e.g., recruitment, site startup delays, data handoffs)? Best regards, Fabian

@Andrii1900

Hello, I have experience designing and structuring scalable, AI supported systems for complex workflows, particularly in data driven and process-heavy environments. While my background is rooted in software engineering and AI systems, I’ve worked on projects where I translated real-world operations into structured, automated workflows replacing manual processes with centralized systems, dashboards, and clear SOPs. In one case, I helped redesign a fragmented workflow into a unified system with automated tracking and reporting, significantly improving visibility and efficiency. AI-native operations and systems design. I can help map your clinical workflows into structured, repeatable processes, design an AI supported operations stack, and collaborate closely with your technical team to build internal tools that replace spreadsheets with scalable systems. My focus is on clarity, automation, and continuous improvement identifying bottlenecks and implementing solutions that enhance efficiency, compliance, and long-term scalability in a fast-moving environment. Hourly Rate: $8 USD/hr | Availability: 30–40 hrs/week Best regards,

@johnedwardl

Hi, I can help establish the operational backbone of your AI-native Clinical Research Site Management Organization. With extensive hands-on experience in clinical trials and SMO operations, I have successfully designed and implemented systems that streamline workflows and enhance efficiency. My background includes working with CTMS and eSource, enabling me to create robust, automated processes that replace outdated methods. I will map your current workflows into clear processes, develop a reliable operational stack, and implement dashboards for real-time tracking and reporting. My approach will focus on identifying bottlenecks and continuously improving scalability and compliance while closely collaborating with your product and engineering teams to refine tools and automations. Can you share current challenges you face with your existing workflows? What specific metrics are you looking to improve with the new system? Let’s connect to discuss how I can contribute to building your tech-forward infrastructure. Thank you.

@felipes678

Hello! I’m eager to contribute to building your AI-native Clinical Research SMO from the ground up. The project involves translating clinical workflows into automated, scalable, and AI-supported systems, replacing legacy spreadsheets and manual processes. Your goal is to streamline site management, study startup, patient recruitment, and ongoing operations with robust SOPs, dashboards, and CTMS-compatible systems. This role requires hands-on experience in clinical trials, process mapping, and designing repeatable workflows that ensure efficiency, compliance, and scalability. I will start by mapping existing workflows and documenting SOPs to identify bottlenecks and automation opportunities. Then, I’ll design and implement an AI-native operations stack that integrates CTMS and other clinical tools, creating dashboards and tracking systems to replace manual methods. I will continuously refine processes, collaborating with leadership and technical teams to ensure scalable, high-quality operations. My approach ensures a smooth transition to an efficient, AI-supported SMO platform. I am ready to start immediately, bringing both clinical operations experience and systems-thinking expertise to your project.

@nadah256

Hi! I’m an ops + systems builder with clinical research workflow experience and a strong process/SOP mindset. I’m excited about building an AI native SMO that replaces spreadsheets with structured tracking, dashboards, and automation. Example: I converted a fragmented startup/recruitment tracking process into a single source-of-truth tracker + automated reminders/escalations + KPI dashboard (cycle times, funnel, bottlenecks by site), improving accountability and reporting quality. Best, Nada Hasnain

@kyosmid

Dear Client, This is genuinely exciting-an AI-native SMO built from the ground up instead of patching legacy spreadsheets? Yes, please. I've spent the last five years exactly at this intersection of clinical operations and systems building. My background: I managed site operations for a mid-size CRO for three years, then spent two years building automation tools for patient recruitment and study startup. I know CTMS workflows intimately-the good, the bad, and the painfully manual. One example: At my last role, I inherited a startup process that took 47 touchpoints across six spreadsheets. I mapped the workflow, identified bottlenecks, and built a simple automated tracker that cut it to 19 touchpoints and saved our sites about eight hours per study. Leadership started asking me to fix everything after that. Here's how I'd help you: • Map your clinical workflows into clear, scalable processes • Design an AI-native operations stack that actually works for site teams • Build dashboards that kill spreadsheets forever • Spot bottlenecks before they slow you down My rate is $7/hour and I'm available 30-40 hours weekly. When's a good time for a quick call? Thanks