Clinical Data Analyst Jobs in Idaho
Clinical Data Analyst jobs in Idaho are concentrated in Boise, Idaho Falls, and Pocatello, where large health systems and research-driven employers maintain consistent demand for professionals with expertise in clinical trials data management, real-world evidence analysis, and EHR data integration. St. Luke's Health System, St. Alphonsus Regional Medical Center, and Idaho National Laboratory are among the established employers with ongoing needs at both entry and mid-career levels. Openings range from associate analysts supporting regulatory submissions to senior roles leading data governance initiatives across multi-site organizations. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 49+ Clinical Data Analyst jobs
Simplot is a family-owned, privately held global food and agriculture company headquartered in Boise, Idaho. Its integrated portfolio of companies includes food processing and food brands, phosphate mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises related to agriculture. Simplot has major operations in nine countries with products and services available to customers worldwide.
Summary
This role will lead the build-out of Simplot’s new SAP Datasphere environment into a scalable, production-ready state. You’ll define how data is integrated, governed, and delivered across SAP and non-SAP systems as part of a modern data fabric architecture. This role partners closely with business stakeholders, data engineering, SAP, and security teams to establish core architectural patterns, security schema, and operational standards that will enable a stable, scalable, cost-effective and secure platform across the organization. This role applies advanced data engineering and platform engineering principles and will exercise independent judgment, own key technical decisions, and contribute to a long-term platform strategy while delivering a hands-on implementation.
Key Responsibilities
Platform Design, Initialization & Implementation
Lead the initial setup and configuration of the Datasphere platform, establishing foundational design patterns, environments, and operational standards.
Define and implement the Datasphere architecture, including space organization, separation of concerns, and alignment to business domains.
Design and establish data integration between Datasphere and upstream / downstream systems, including Databricks and SAP.
Platform Maintenance & Support
Lead the identification and assessment of on-going maintenance and support needs for the Datasphere platform.
Provide on-going maintenance and support, in coordination with other teams, for the Datasphere platform.
Security & Governance
Partner with business stakeholders to design and implement the Datasphere security model.
Ensure the platform aligns with enterprise data governance standards and security best practices.
Contribute to the definition of platform access and security roles to enable secure self‑service while maintaining appropriate controls.
Stakeholder Collaboration
Work directly with business and technical stakeholders to understand data, access, and operational requirements.
Translate business needs into technical designs that balance stability, scalability, and cost-effectiveness.
Provide guidance and recommendations on Datasphere capabilities, constraints, and best practices.
Engineering & Delivery
Develop and maintain infrastructure as code to enable automation of configuring and supporting the Datasphere platform.
Apply data engineering best practices to ensure stability, scalability, and cost-effectiveness of the platform.
Participate as a technical lead or primary on platform‑related initiatives, providing estimates and contributing to delivery planning.
Documentation & Enablement
Create and maintain clear technical documentation for Datasphere architecture, security models, and operational processes.
Contribute to onboarding materials and knowledge sharing to enable adoption by data engineers and business users.
Mentor team members and provide technical guidance related to Datasphere usage and design.
Provide time and effort estimates for assigned work.
Typical Education
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field or equivalent practical experience
Required Qualifications
- 4-10 years of experience in data engineering, platform engineering, or analytics platform implementation.
- Experience with cloud‑based data platforms and modern data engineering tools.
- Strong understanding of data platform architecture and data modeling concepts.
- Proficiency in SQL and familiarity with automation, scripting, or infrastructure‑as‑code concepts.
- Ability to evaluate and recommend platform design patterns based on business and technical requirements.
Preferred Qualifications
- Prior experience standing up or modernizing an enterprise analytics or data sharing platform.
- Experience working in cross‑functional teams with data engineering, security, and business stakeholders.
- Exposure to large‑scale data platforms and integration with enterprise data platforms.
- Experience with SAP, Databricks, Snowflake, Azure, or Terraform.
- Experience with SAP, SAP BW, SAP Data Products or SAP Business Content.
Job Requisition ID: 25640
Travel Required:
Location(s): Simplot Headquarters - Boise
Country: United States
**The J.R. Simplot Company is proud to be an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, national origin, ancestry, age, sex, gender, gender identity, gender expression, genetic information, physical or mental disability, medical condition, sexual orientation, military or veteran status, marital status, or any other protected status. **
#LI-MH1
Simplot is a family-owned, privately held global food and agriculture company headquartered in Boise, Idaho. Its integrated portfolio of companies includes food processing and food brands, phosphate mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises related to agriculture. Simplot has major operations in nine countries with products and services available to customers worldwide.
Summary
This role will lead the build-out of Simplot’s new SAP Datasphere environment into a scalable, production-ready state. You’ll define how data is integrated, governed, and delivered across SAP and non-SAP systems as part of a modern data fabric architecture. This role partners closely with business stakeholders, data engineering, SAP, and security teams to establish core architectural patterns, security schema, and operational standards that will enable a stable, scalable, cost-effective and secure platform across the organization. This role applies advanced data engineering and platform engineering principles and will exercise independent judgment, own key technical decisions, and contribute to a long-term platform strategy while delivering a hands-on implementation.
Key Responsibilities
Platform Design, Initialization & Implementation
Lead the initial setup and configuration of the Datasphere platform, establishing foundational design patterns, environments, and operational standards.
Define and implement the Datasphere architecture, including space organization, separation of concerns, and alignment to business domains.
Design and establish data integration between Datasphere and upstream / downstream systems, including Databricks and SAP.
Platform Maintenance & Support
Lead the identification and assessment of on-going maintenance and support needs for the Datasphere platform.
Provide on-going maintenance and support, in coordination with other teams, for the Datasphere platform.
Security & Governance
Partner with business stakeholders to design and implement the Datasphere security model.
Ensure the platform aligns with enterprise data governance standards and security best practices.
Contribute to the definition of platform access and security roles to enable secure self‑service while maintaining appropriate controls.
Stakeholder Collaboration
Work directly with business and technical stakeholders to understand data, access, and operational requirements.
Translate business needs into technical designs that balance stability, scalability, and cost-effectiveness.
Provide guidance and recommendations on Datasphere capabilities, constraints, and best practices.
Engineering & Delivery
Develop and maintain infrastructure as code to enable automation of configuring and supporting the Datasphere platform.
Apply data engineering best practices to ensure stability, scalability, and cost-effectiveness of the platform.
Participate as a technical lead or primary on platform‑related initiatives, providing estimates and contributing to delivery planning.
Documentation & Enablement
Create and maintain clear technical documentation for Datasphere architecture, security models, and operational processes.
Contribute to onboarding materials and knowledge sharing to enable adoption by data engineers and business users.
Mentor team members and provide technical guidance related to Datasphere usage and design.
Provide time and effort estimates for assigned work.
Typical Education
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field or equivalent practical experience
Required Qualifications
- 4-10 years of experience in data engineering, platform engineering, or analytics platform implementation.
- Experience with cloud‑based data platforms and modern data engineering tools.
- Strong understanding of data platform architecture and data modeling concepts.
- Proficiency in SQL and familiarity with automation, scripting, or infrastructure‑as‑code concepts.
- Ability to evaluate and recommend platform design patterns based on business and technical requirements.
Preferred Qualifications
- Prior experience standing up or modernizing an enterprise analytics or data sharing platform.
- Experience working in cross‑functional teams with data engineering, security, and business stakeholders.
- Exposure to large‑scale data platforms and integration with enterprise data platforms.
- Experience with SAP, Databricks, Snowflake, Azure, or Terraform.
- Experience with SAP, SAP BW, SAP Data Products or SAP Business Content.
Job Requisition ID: 25640
Travel Required:
Location(s): Simplot Headquarters - Boise
Country: United States
**The J.R. Simplot Company is proud to be an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, national origin, ancestry, age, sex, gender, gender identity, gender expression, genetic information, physical or mental disability, medical condition, sexual orientation, military or veteran status, marital status, or any other protected status. **
#LI-MH1
See All 49 Clinical Data Analyst Jobs in Idaho
Find roles in Idaho that match your experience and apply in just a few clicks.
Find Clinical Data Analyst JobsClinical Data Analyst Jobs by City in Idaho
Where Idaho roles are concentrated, by current openings.
Clinical Data Analyst Job Market in Idaho
A snapshot from current Idaho openings, updated as new roles post.
Who's Hiring
- Micron Technology8
- Simplot Company4
- Clearwater Analytics (CWAN)3
- ICCU2
- CVS Health2
Top Industries Hiring
- Electronics & Hardware9
- Investment & Asset Management4
- Agriculture & Farming3
- Insurance2
- Banking & Financial Services2
What Idaho Employers Look For
The qualifications that appear most often in clinical data analyst jobs across Idaho.
- Bachelor's degree in health informatics, biostatistics, life sciences, or a related field
- Proficiency in SAS, R, or Python for clinical data manipulation and reporting
- Experience with EDC platforms such as Medidata Rave, Oracle Clinical, or Veeva Vault
- Familiarity with CDISC standards including CDASH and SDTM for data submissions
- Knowledge of FDA clinical trial regulations, ICH E6 GCP guidelines, and data privacy rules
- Strong communication skills for collaborating with clinical operations and biostatistics teams
Clinical Data Analyst Jobs in Idaho: Frequently Asked Questions
How do you become a clinical data analyst in Idaho?
Clinical data analyst roles in Idaho do not require a state-issued license, so the path centers on education and credentials. Most employers expect at least a bachelor's degree in health informatics, biostatistics, nursing, or a life science. Earning a Certified Clinical Data Manager credential through the Society for Clinical Data Management strengthens applications considerably. Idaho employers, particularly those affiliated with St. Luke's and St. Alphonsus systems, also value direct experience with electronic data capture platforms gained through internships or entry-level data coordinator roles.
How much do clinical data analysts make in Idaho?
Clinical data analysts in Idaho earn a median of about $89,380 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $63,980 for the lowest 10% to over $169,010 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire clinical data analysts in Idaho?
Idaho clinical data analyst roles are posted by Micron Technology, Simplot Company, and Clearwater Analytics (CWAN) and others right now, based on current listings on Migrate Mate as of July 2026. Idaho's combination of major regional health systems and federally funded research institutions at Idaho National Laboratory creates a steady hiring base across both clinical and research-oriented analyst positions.
Which Idaho cities have the most clinical data analyst jobs?
Boise, Meridian, and Idaho account for the largest share of clinical data analyst openings in Idaho. Boise drives the most volume as the state's population center, home to the flagship campuses of St. Luke's and St. Alphonsus, while Idaho Falls and Pocatello benefit from proximity to federally affiliated research operations and regional medical centers that support ongoing clinical data needs.
Are there remote clinical data analyst jobs in Idaho?
Yes, and more than most fields. Clinical data analysis is fundamentally a desk-based, software-driven role, making it well suited to remote arrangements. About 30% of clinical data analyst openings tied to Idaho are remote or hybrid as of July 2026, reflecting broad adoption of distributed teams across health systems and contract research organizations. Data cleaning, coding, and regulatory submission support are the functions most commonly performed fully remote.
How can I get hired as a clinical data analyst in Idaho with little or no experience?
The most realistic entry path is a clinical data coordinator or research coordinator role, which handles source data verification and EDC entry and serves as a direct bridge into analyst work. St. Luke's Health System and St. Alphonsus Regional Medical Center both run new-graduate programs within their research and clinical operations departments that place candidates without prior analyst titles. Building a portfolio using publicly available clinical trial datasets and earning the entry-level CCDM credential from the Society for Clinical Data Management gives Idaho applicants a concrete edge over those with only a degree.
Where can I find and apply to clinical data analyst jobs in Idaho?
You can find and apply to clinical data analyst jobs in Idaho on Migrate Mate, which lists current openings from employers hiring in the state right now. Search the listings, find the roles that match your experience and preferred location, and apply directly through each posting.
See All 49 Clinical Data Analyst Jobs in Idaho
Find roles in Idaho that match your experience and apply in just a few clicks.
Find Clinical Data Analyst Jobs