Sr Mngr, Full Stack Clinical Platform Engineer
Anywhere
Category: Data
Industry: Life Sciences
Workplace Type: Remote
Standard Hours: Open
Reference ID: JN -082026-108155
Date Posted: 09/01/2026
Shortcut: http://careers.eliassen.com/S8mgh4
Description:
Remote
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.
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
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.
Experience Requirements:
- 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.
Education Requirements:
Advanced degree in computer science, biomedical informatics, statistics, or a related field. MS with 6+ years of relevant experience preferred.
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.
· Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.
If you have any indication of fraudulent activity, please contact fraud@eliassen.com.
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Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Eliassen Group’s Affirmative Action Plan (AAP) is available for inspection by any employee or applicant for employment upon request, during normal business hours of Monday through Friday, 8:30am to 5:30pm EST. Interested persons should contact Phaedra Wells at pwells@eliassen.com for assistance. It is unlawful in Massachusetts and Maryland to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Applicants with disabilities that believe they require an accommodation or assistance with a position, please email our HR team at hradmin@eliassen.com. This email inbox is designed exclusively to assist job seekers whose disability prevents them from being able to apply online. Emails sent for other purposes will not receive a response.
Please be advised that a number of fraudulent job postings have been released under the Eliassen Group brand.
Unfortunately, fraudulent job postings can happen. If anyone reaches out to you about an open position connected with Eliassen Group, never provide personal or financial information to anyone who is not clearly associated with Eliassen Group
If anyone seemingly from Eliassen Group has ever requested this personal information in the past or does so in the future, please contact fraud@eliassen.com.
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.
- Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group, as indicated above