[Remote] Sr Mngr, Full Stack Clinical Platform Engineer

Note: The job is a remote job and is open to candidates in USA. Eliassen Group is seeking a Full Stack Clinical Platform Engineer to support Global Development Digital Transformation. The role designs, implements, and operates production-grade Generative AI, machine learning, data engineering, and MLOps solutions for regulated clinical environments while partnering with Clinical Operations, Data Management, Regulatory, and IT.

Responsibilities

• 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

Skills

• 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

Benefits

• Remote work arrangement
• For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Company Overview

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