AI Engineer – Clinical AI Platforms (Remote-US)

AI Engineer – Clinical AI Platforms (Remote-US)

We are looking to hire a candidate with the skills sets mentioned and experience for one of our clients within the pharmaceutical Industry. 

Job Summary

We are seeking a highly skilled AI Engineer to design, build, and deploy next-generation AI solutions that transform clinical trial operations for Clinical Research Group (CRG).

This role focuses on building AI-powered platforms and agentic automation systems that accelerate clinical trials, improve data quality, and reduce operational burden across study start up, patient enrollment, monitoring, and regulatory submissions. The AI Engineer will collaborate with clinical domain experts, data engineers, product teams, and platform architects to develop scalable AI solutions that integrate with modern clinical data ecosystems, including CTMS, EDC, eTMF and real world data platforms.

Key Responsibilities

Build AI Solutions for Clinical Trial Operations 

Design and implement AI models and systems that improve clinical operations, including:

Patient enrollment forecasting

Protocol optimization

Clinical site performance prediction

Risk-based monitoring automation

Clinical document intelligence

Operational forecasting and simulation

Example solutions include:

AI-powered Clinical Trial Forecasting Suite (CTFS) for predicting enrollment timelines

Agentic AI assistants supporting Clinical Research Associates (CRAs)

Document intelligence systems extracting insights from protocols, investigator brochures, and regulatory submissions

Develop Agentic AI Systems

Design multi-agent AI workflows that automate complex clinical processes.

Example use cases include:

AI agents reviewing monitoring reports and generating insights

Automated protocol feasibility assessments

Intelligent clinical data quality monitoring

Study risk detection across trial sites

Key capabilities include:

Agent orchestration frameworks

Retrieval-Augmented Generation (RAG) pipelines

Autonomous workflow orchestration

Guardrails and compliance monitoring

Build Scalable AI Platforms

Develop production-grade AI systems integrated with enterprise clinical platforms.

Key integrations include:

Clinical Trial Management Systems (CTMS)

Electronic Data Capture (EDC) systems

eTMF document management platforms

Safety and pharmacovigilance systems

Real-world data sources

Responsibilities include:

Model deployment pipelines

MLOps frameworks

Scalable API development

Cloud-native AI infrastructure

Work on Advanced AI Models:

Develop and deploy advanced AI capabilities including:

Predictive ML models for clinical forecasting

LLM-powered clinical copilots

Knowledge graph–enabled RAG systems

Simulation models for trial design optimization

Techniques include:

Deep learning

Graph AI

Time-series forecasting

NLP for clinical documents

Generative AI for clinical insights

Ensure Compliance & Responsible AI

Ensure AI systems meet life sciences regulatory requirements, including:

GxP compliance

Data privacy standards

Auditability and traceability

Model validation frameworks

Work closely with clinical stakeholders to ensure solutions are trustworthy, compliant, and explainable.

Qualifications

Education : Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence / Machine Learning, Data Science, Bioinformatics Or a related technical field

Technical Skills 

Programming

Python

SQL

APIs / microservices

AI / Machine Learning

Machine learning frameworks (PyTorch, TensorFlow, Scikit-learn)

LLM frameworks (LangChain, LlamaIndex, OpenAI APIs)

Retrieval-Augmented Generation (RAG)

Data Platforms

Data pipelines

Vector databases (Pinecone, Chroma, Weaviate)

Knowledge graphs / graph databases

Cloud Platforms

AWS / Azure / GCP

Containerization (Docker, Kubernetes)

MLOps

Model deployment

CI/CD for AI

Monitoring and observability

Domain Knowledge 

Experience in life sciences or healthcare data environments, including familiarity with:

Clinical trial operations

CTMS / EDC / eTMF systems

Clinical data standards (CDISC, SDTM, ADaM)

Regulatory frameworks (GxP)

Preferred experience with:

Agentic AI architectures

Digital twins or simulation systems

Clinical data analytics

Clinical trial optimization models

Large enterprise platform development

Why Join This Team 

You will work at the intersection of AI innovation, Clinical research, Large-scale digital transformation

This role provides an opportunity to build cutting edge AI platforms that shape the future of clinical trials and drug development.

Other Job Details:

Location: Remote

Candidate rate: Open market rate

Docs required: ID proof will be required.