Jobs at eClinical Solutions

Manages clinical data throughout the study lifecycle, including protocol conversion, database builds, CRF design, data review, query management, reporting, and quality control. Collaborates with sponsors, clinical operations, biostatistics, programming, and technical teams to configure data-cleaning strategies, monitor KPIs, identify risks, and ensure compliant, timely deliverables. Provides project leadership, develops study documentation, performs trending analysis, and supports continuous process improvement.

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.

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 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.

Own Salesforce and commercial systems as the enterprise system of record for pipeline, forecasting, and reporting. Define commercial metrics, data standards, and governance; improve data quality and adoption; build repeatable board and executive reporting; reconcile sales reporting with Finance; establish forecasting cadence and accountability; manage commercial systems roadmap and external implementation partners.

Manage delivery of biometrics and clinical trial projects: create timelines, run meetings, align stakeholders, track scope and finances, manage risks/escalations, support audits and client requests, and ensure compliance with industry standards and SOPs.