Sr Mngr, Full Stack Clinical Platform Engineer

• Translate ambiguous clinical and operational problems into well-scoped AI solutions from problem framing and data assessment through prototype, validation, and production deployment.
• Design and implement MLOps/LLMOps pipelines to deploy, monitor, and manage large language models in production environments following software engineering best practices.
• Collaborate with data scientists to deploy and fine-tune Generative AI models and apply modern techniques from relevant published work where appropriate.
• Develop scalable data and ML pipelines for ingestion, preprocessing, validation, training, evaluation, and model deployment across the clinical development ecosystem.
• Evaluate and recommend AI tools and frameworks including RAG, vector databases, embedding models, and LLM providers, balancing compliance, performance, and cost.
• Develop, deploy, and maintain pipelines for structured and unstructured clinical data, integrating internal systems with CRO and external partner data sources while ensuring data integrity and traceability.
• Increase data interoperability and standardization across Global Development systems and other business units to reduce manual effort and accelerate data availability.
• Implement automated quality monitoring pipelines for internal and CRO-sourced clinical data, surfacing metrics and triggering corrective workflows aligned with Medical Monitoring Plans.
• Ensure compliance with HIPAA, GDPR, and 21 CFR Part 11. Contribute to data governance strategy, data lineage documentation, and audit-readiness.
• Maintain code repositories with clean, well-documented, version-controlled code. Uphold engineering best practices including code review, testing, and CI/CD pipelines.

• Advanced degree in computer science, biomedical informatics, statistics, or a related field. MS with 6+ years of relevant experience preferred.
• 5-7 years of experience leading data engineering solutions in life sciences or healthcare with end-to-end delivery accountability.
• Expertise in clinical or biomedical data infrastructure including data lakes and warehouses optimized for regulatory-grade clinical data.
• Experience with modern cloud data platforms such as Snowflake, Databricks, Redshift, or BigQuery. Proficiency in Python, SQL, and R.
• Proficiency in cloud architecture on AWS, Azure, or GCP and DevOps practices including CI/CD, containerization with Docker or Kubernetes, and infrastructure-as-code.
• Experience building and maintaining pipelines for structured and unstructured data with enterprise integration.
• Deep knowledge of HIPAA, GDPR, 21 CFR Part 11, and clinical data standards such as CDISC, HL7, and FHIR.
• Hands-on experience with machine learning pipelines and clinical AI/ML applications including NLP, anomaly detection, or predictive modeling.
• Strong communication skills to translate technical architectures and outputs into clear recommendations for non-technical stakeholders.
• Experience with data governance frameworks, data quality tooling, and metadata management in regulated settings., Advanced degree in computer science, biomedical informatics, statistics, or a related field. MS with 6+ years of relevant experience preferred.

We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $90.00 to $110.00/hr. w2, Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.

If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

· When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

Our client seeks a Full Stack Clinical Platform Engineer to design, implement, and operate production-grade Generative AI and Machine Learning solutions that support Global Development Digital Transformation. The role sits at the intersection of data engineering and applied AI. It partners with Clinical Operations, Data Management, Regulatory, and IT to build and maintain modern data platforms and AI-enabled pipelines that underpin the transformation program. The position requires expertise in clinical data infrastructure, modern data engineering, and deployment of machine learning solutions in regulated life sciences environments. The engineer will act as a technical authority and strategic liaison to ensure scalable, compliant solutions aligned with evolving regulatory and data standards., Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.