Jobs at eClinical Solutions

Lead medical coding and serious adverse event reconciliation for clinical trials. Develop and maintain coding guidelines and SAE plans, code medical terms using MedDRA and WHODrug, review coding accuracy, resolve discrepancies, document decisions, support coding-tool testing and dictionary versioning, and ensure compliance with clinical research standards and regulations.

Provides hands-on technical leadership for scalable full-stack web applications and core platform services. Designs architecture, develops and deploys secure software, resolves distributed-system issues, mentors engineers, and collaborates across product and QA teams. Integrates LLMs, AI-assisted workflows, and agentic capabilities into .NET and Python systems while applying responsible AI practices. Contributes to technical documentation, quality standards, regulatory compliance, and the full software development lifecycle.

Processes and quality-checks external and local laboratory data throughout clinical trials. Reviews protocols, eCRF designs, vendor data transfers, normal ranges, reconciliation logs, exception listings, and clinical database alignment. Supports study start-up, data documentation, issue resolution, reporting, metrics, and vendor agreements while ensuring ICH/GCP, SOP, and data integrity standards. Collaborates with clinical data management, project teams, clients, laboratories, and vendors.

Perform centralized medical coding and serious adverse event reconciliation for clinical trials. The role maintains coding guidelines and SAE plans, codes using MedDRA and WHODrug, reviews coding accuracy, resolves discrepancies with clinical and safety teams, documents decisions, supports dictionary versioning, and tests coding tools and deployments while ensuring compliance with clinical research regulations and quality standards.

Manage external and local laboratory data throughout clinical trials, serving as the subject matter expert and primary liaison for clients, vendors, and internal teams. Responsibilities include data transfer setup, validation, quality control, normal-range processing, database alignment, issue resolution, study documentation, metrics, reporting, training, and process improvement while ensuring ICH/GCP, regulatory, and data-integrity standards.

Lead the architecture and evolution of AI-enabled, cloud-native software platforms. Evaluate emerging AI, machine learning, cloud, and architecture technologies; define scalable reference architectures; guide data, model integration, monitoring, security, governance, and responsible AI practices; communicate technical strategies; review implementations; and mentor engineering and architecture teams on modern development and AI-assisted engineering.

Manages clinical trial data activities from database specifications and CRF design through validation, data cleaning, reconciliation, reporting, and closeout. Develops study documentation, oversees query management, reviews data trends and KPIs, and uses analytics, AI, and machine learning to identify anomalies and risks. Collaborates with study, technical, and project teams to deliver high-quality, compliant clinical data management services on schedule.

Leads clinical trial data management across the full study lifecycle, including database design, validation, data cleaning, reconciliation, query resolution, reporting, database freeze and lock. Serves as the primary sponsor liaison, oversees timelines and deliverables, delegates work, mentors team members, supports testing and training, maintains study documentation, and drives process improvement. Uses centralized data management platforms and clinical analytics to ensure high-quality, compliant data deliverables.

Own day-to-day service operations for a global client portfolio using the elluminate platform. Coordinate engineering, IT, product, implementation, support, and customer success teams; manage escalations, deliverables, SLAs, operational reviews, documentation, audits, CAPAs, and client communications. Support account transitions, maintain service records, identify workflow improvements, and ensure compliance with ICH/GCP and 21 CFR Part 11 requirements.

Leads data engineering and technical consulting for clinical systems, including platform configuration, ETL, data warehouse development, custom analytics, reporting, integrations, validation, quality control, and SOP development. Provides technical escalation, solution design, project oversight, mentoring, training, process improvement, and client support while ensuring compliance with eClinical and industry standards.

The Senior Software Engineer will design and develop core modules for an AI-enabled platform, collaborating across teams and mentoring others in a fast-paced environment.

Lead design and implementation of scalable, secure full-stack web applications and core platform modules. Influence architecture, deliver clean well-tested code, mentor engineers, integrate LLM/AI services responsibly, diagnose production issues, and collaborate across product, QA, and platform teams to meet regulatory and quality standards.

Design, build, test, and maintain Medidata Rave clinical databases (CRFs, edit checks, derivations, reports). Act as MCC/EDC SME, perform peer reviews, ensure build standards and deliverables for study teams, and advise stakeholders on best practices.

Own roadmaps and deliver platform capabilities for APIs, data connectors, metadata exchange, ingestion, and AI-enabled automation. Collaborate with engineering, UX, architecture, services, and customers to translate complex integration problems into scalable, reusable platform features. Use AI-assisted discovery, measure adoption and quality, and support launches, documentation, and customer enablement.

Hands-on technical leader who designs, builds, and deploys production-grade AI automation and agentic workflows. Responsibilities include rapid prototyping, RAG and document-intelligence systems, API integrations, orchestration, monitoring, reusable AI assets, and mentoring a small engineering team to deliver frequent releases and measurable business impact.

Provides senior statistical consulting for clinical trials, including study design, sample size determination, statistical analysis plans, randomization schedules, analyses, reporting, and SAS programming. Develops analysis datasets, tables, listings, and graphs; validates programming outputs; mentors programmers; supports interim and exploratory analyses; collaborates with clinical, data management, regulatory, and client teams; and ensures compliance with industry and regulatory standards.

Leads project management for Biometrics Services, overseeing PM professionals and complex clinical trial engagements from study start-up through database lock and regulatory support. Ensures regulatory compliance, quality, timelines, resourcing, risk management, vendor coordination, client satisfaction, and operational excellence. Coaches project managers, improves delivery models through lessons learned, supports organizational scaling initiatives, and builds accountable partnerships with sponsors and cross-functional teams.

The Sr Data Engineer I will provide consulting services for clinical systems, manage projects, and design SQL code for data reporting and analytics while ensuring compliance with industry standards.

The QC Specialist ensures quality control for Biometrics deliverables, conducts reviews, manages documentation, trains staff, and collaborates on project deliverables.

Provide technical consulting and configure the Elluminate platform; design, develop, test, and deploy ETL and SQL solutions supporting SDTM and custom analytics; lead data engineers, manage client projects, onboarding, training and support; maintain SOP and quality control documentation.