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Python Research Assistant Jobs in West Jordan, UT

Ancestry

Postdoctoral Fellow, Applied AI

Lehi, UT · Remote

$50K - $68K/yr

This fellowship is designed for a researcher at the intersection of industry-scale data and ... Familiarity with "AI coding" workflows and usage of AI coding assistants such as Amazon Q, Cursor ...

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All JobsPython Research JobsPython Research Assistant JobsPython Research Assistant Jobs in West Jordan, UT

Python Research Assistant information

What is the difference between Python Research Assistant vs Data Analyst?

AspectPython Research AssistantData Analyst
Required SkillsPython programming, research methods, data collectionData analysis, visualization, statistical tools
Work EnvironmentResearch labs, academic institutions, research projectsBusiness settings, corporate offices, data-driven departments
Common EmployersUniversities, research institutes, non-profitsCorporations, consulting firms, government agencies

The main difference between a Python Research Assistant and a Data Analyst lies in their focus. Python Research Assistants primarily support research projects using Python for data collection and analysis within academic or research settings. Data Analysts, on the other hand, work in business environments analyzing data to inform decision-making. While both roles require Python skills, Python Research Assistants emphasize research methodologies, whereas Data Analysts focus on business insights and reporting.

Do research assistants get paid a lot?

Research assistants, including those working in Python research roles, typically earn wages that vary based on experience, education, and location. Entry-level positions often pay hourly wages, while more experienced research assistants or those with specialized skills in programming and data analysis can earn higher salaries or stipends, especially in academic or research institutions. Overall, pay is generally moderate and reflects the level of technical expertise required for the role.

Which Python research assistant job is in demand?

Python research assistant roles are in demand across industries such as technology, academia, and healthcare, especially for positions requiring data analysis, machine learning, and scripting skills. These jobs often require proficiency in Python libraries like Pandas, NumPy, and TensorFlow, and may involve working with large datasets or developing algorithms. Demand is higher for roles that combine programming expertise with domain-specific knowledge and strong analytical skills.
Infographic showing various Python Research Assistant job openings in West Jordan, UT as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Jr DevOps Engineer- Interoperability

Salt Lake City, UT • On-site

Health Catalyst
IT Services • 1 - 5K employees
Learn more about Health Catalystexternal

$51 - $70/hr

Full-time

Posted 26 days ago

Job description

Join one of the nation's leading and most impactful health care performance improvement companies. Over the years, Health Catalyst has achieved and documented clinical, operational, and financial improvements for many of the nation's leading healthcare organizations. We are also increasingly serving international markets.Our mission is to be the catalyst for massive, measurable, data-informed healthcare improvement through:
  • Data: integrate data in a flexible, open & scalable platform to power healthcare's digital transformation
  • Analytics: deliver analytic applications & services that generate insight on how to measurably improve
  • Expertise: provide clinical, financial & operational experts who enable & accelerate improvement
  • Engagement: attract, develop and retain world-class team members by being a best place to work

**This position is currently not eligible for visa sponsorship**
How you can make a difference:
As a Junior Interoperability DevOps Engineer, you'll help support the systems and processes that enable reliable healthcare data exchange across our client ecosystem. Working alongside experienced engineers, implementation teams, and healthcare interoperability experts, you'll gain hands-on experience with cloud technologies, automation, clinical data processing, and production support.
This role is an excellent opportunity for an early-career engineer who enjoys solving technical problems, learning new technologies, and contributing to solutions that improve healthcare outcomes. You'll help ensure clinical data moves accurately and efficiently while developing valuable skills in AWS, SQL, Python, automation, and healthcare interoperability.
What you'll be doing:
Implementation & Data Readiness
  • Support implementation testing, validation, and go-live activities for new client deployments.
  • Review clinical documents and metadata to identify potential data quality or configuration issues.
  • Assist with validating patient, organization, facility, custodian, OID, and MRN mappings.
  • Document findings and communicate issues to project teams and senior engineers.
  • Help troubleshoot implementation-related issues and support production stabilization efforts.
Cloud Engineering & Automation
  • Assist with AWS-based workflows utilizing services such as Amazon S3 and Athena.
  • Develop and maintain scripts and automation using Python, SQL, and related technologies.
  • Support the creation of technical documentation, runbooks, and support procedures.
  • Use AI-assisted tools to support development, troubleshooting, testing, and documentation activities.
  • Partner with senior engineers to identify opportunities to reduce manual processes through automation.
Historical Data Loading & Validation
  • Support historical clinical data migrations and loading activities.
  • Assist with validating source files, inventories, manifests, and reconciliation processes.
  • Investigate data discrepancies, processing failures, and missing records.
  • Document validation results and implementation outcomes to ensure data accuracy.
Production Support & Reliability
  • Monitor system performance, processing volumes, queues, and operational dashboards.
  • Troubleshoot issues related to cloud storage, data processing, and system integrations.
  • Participate in incident response and root-cause analysis activities.
  • Help identify opportunities to improve reliability, visibility, and operational efficiency.
  • Support ongoing maintenance and monitoring of production environments.
What you will need to be successful:
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Healthcare Informatics, or a related technical field, or equivalent experience.
  • 1-3 years of experience in software engineering, technical support, cloud operations, data engineering, DevOps, implementation support, or a related technical role.
  • Basic understanding of cloud platforms, preferably AWS.
  • Foundational SQL skills with the ability to query and analyze data.
  • Experience with Python or another scripting language.
  • Strong analytical and problem-solving abilities.
  • Effective verbal and written communication skills.
  • Ability to learn new technologies in a fast-paced environment.
  • Strong organizational skills and attention to detail.
Preferred Qualifications
  • Experience with AWS services such as S3, Athena, Lambda, or CloudWatch.
  • Exposure to healthcare IT, healthcare data, or interoperability concepts.
  • Familiarity with HL7, FHIR, CCD, C-CDA, or related healthcare standards.
  • Experience supporting client implementations or technical projects.
  • Familiarity with monitoring, logging, and operational support tools.
  • Exposure to automation, scripting, or data-processing workflows.
  • Experience using AI-assisted tools for development, research, testing, or documentation.
Key Competencies
  • Strong curiosity and willingness to learn.
  • Analytical thinking and structured problem solving.
  • Attention to detail and commitment to quality.
  • Strong collaboration and teamwork skills.
  • Ability to follow established processes while identifying opportunities for improvement.
  • Customer-focused mindset with a desire to help others succeed.
  • Adaptability and comfort working in evolving technical environments.
  • Interest in cloud technologies, automation, healthcare data, and interoperability.

The above statements describe the general nature and level of work being performed in this job function. They are not intended to be an exhaustive list of all duties, and indeed additional responsibilities may be assigned by Health Catalyst.
Studies show that candidates from underrepresented groups are less likely to apply for roles if they don't have 100% of the qualifications shown in the job posting. While each of our roles have core requirements, please thoughtfully consider your skills and experience and decide if you are interested in the position. If you feel you may be a good fit for the role, even if you don't meet all of the qualifications, we hope you will apply. If you feel you are lacking the core requirements for this position, we encourage you to continue exploring our careers page for other roles for which you may be a better fit.
At Health Catalyst, we appreciate the opportunity to benefit from the diverse backgrounds and experiences of others. Because of our deep commitment to respect every individual, Health Catalyst is an equal opportunity employer.

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