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Eliassen Group

Job Details

Skills

Data Management
Life Insurance
Machine Learning Operations (ML Ops)
Management
Large Language Models (LLMs)
Software Engineering
Collaboration
Generative Artificial Intelligence (AI)
Training
Evaluation
Vector Databases
Data Integrity
Workflow
Regulatory Compliance
Documentation
Auditing
Code Review
Testing
Data Engineering
Health Care
Accountability
Biomedicine
Cloud Computing
Snow Flake Schema
Databricks
Amazon Redshift
Python
SQL
R
Cloud Architecture
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
DevOps
Continuous Integration
Continuous Delivery
Docker
Kubernetes
Unstructured Data
Enterprise Integration
HIPAA
CDISC
HL7
Machine Learning (ML)
Natural Language Processing
Predictive Modelling
Data Governance
Data Quality
Meta-data Management
Computer Science
Health Informatics
Statistics
Screening
Artificial Intelligence
Recruiting
Taxes
Insurance
Law
Communication
Gmail
Routing
Management Consulting
Life Sciences
SAP BASIS
Military

Data Management
Life Insurance
Machine Learning Operations (ML Ops)
Management
Large Language Models (LLMs)
Software Engineering
Collaboration
Generative Artificial Intelligence (AI)
Training
Evaluation
Vector Databases
Data Integrity
Workflow
Regulatory Compliance
Documentation
Auditing
Code Review
Testing
Data Engineering
Health Care
Accountability
Biomedicine
Cloud Computing
Snow Flake Schema
Databricks
Amazon Redshift
Python
SQL
R
Cloud Architecture
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
DevOps
Continuous Integration
Continuous Delivery
Docker
Kubernetes
Unstructured Data
Enterprise Integration
HIPAA
CDISC
HL7
Machine Learning (ML)
Natural Language Processing
Predictive Modelling
Data Governance
Data Quality
Meta-data Management
Computer Science
Health Informatics
Statistics
Screening
Artificial Intelligence
Recruiting
Taxes
Insurance
Law
Communication
Gmail
Routing
Management Consulting
Life Sciences
SAP BASIS
Military

Summary

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 Google Cloud Platform 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.

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.

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 .

About Eliassen Group:

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.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.

Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: cxelisen
Position Id: a1WUQ000001nR6X2AU
Posted 4 hours ago

Company Info

About Eliassen Group

Eliassen Group is a leading strategic consulting company that provides business and IT services for our clients as they seek to transform and execute strategies that will drive exceptional outcomes. Leveraging over 30 years of success, we focus on professional services, talent solutions, and life sciences. Eliassen Group offers local community presence and deep networks. We are committed to positively impacting the lives of our employees, clients, consultants, and the communities in which we operate.

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.

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Eliassen Group

Job Details

Skills

Data Management
Life Insurance
Machine Learning Operations (ML Ops)
Management
Large Language Models (LLMs)
Software Engineering
Collaboration
Generative Artificial Intelligence (AI)
Training
Evaluation
Vector Databases
Data Integrity
Workflow
Regulatory Compliance
Documentation
Auditing
Code Review
Testing
Data Engineering
Health Care
Accountability
Biomedicine
Cloud Computing
Snow Flake Schema
Databricks
Amazon Redshift
Python
SQL
R
Cloud Architecture
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
DevOps
Continuous Integration
Continuous Delivery
Docker
Kubernetes
Unstructured Data
Enterprise Integration
HIPAA
CDISC
HL7
Machine Learning (ML)
Natural Language Processing
Predictive Modelling
Data Governance
Data Quality
Meta-data Management
Computer Science
Health Informatics
Statistics
Screening
Artificial Intelligence
Recruiting
Taxes
Insurance
Law
Communication
Gmail
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SAP BASIS
Military

Data Management
Life Insurance
Machine Learning Operations (ML Ops)
Management
Large Language Models (LLMs)
Software Engineering
Collaboration
Generative Artificial Intelligence (AI)
Training
Evaluation
Vector Databases
Data Integrity
Workflow
Regulatory Compliance
Documentation
Auditing
Code Review
Testing
Data Engineering
Health Care
Accountability
Biomedicine
Cloud Computing
Snow Flake Schema
Databricks
Amazon Redshift
Python
SQL
R
Cloud Architecture
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
DevOps
Continuous Integration
Continuous Delivery
Docker
Kubernetes
Unstructured Data
Enterprise Integration
HIPAA
CDISC
HL7
Machine Learning (ML)
Natural Language Processing
Predictive Modelling
Data Governance
Data Quality
Meta-data Management
Computer Science
Health Informatics
Statistics
Screening
Artificial Intelligence
Recruiting
Taxes
Insurance
Law
Communication
Gmail
Routing
Management Consulting
Life Sciences
SAP BASIS
Military

Summary

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 Google Cloud Platform 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.

Dice Id: cxelisen
Position Id: a1WUQ000001nR6X2AU
Posted 4 hours ago

Company Info

About Eliassen Group

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

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