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Research Python Jobs in Utah (NOW HIRING)

Translate business questions into best-in-class research plans * Effectively democratize data and ... Experience using SQL, Python, or similar tools to manipulate large and complex data sets in order ...

Translate business questions into best-in-class research plans * Effectively democratize data and ... Experience using SQL, Python, or similar tools to manipulate large and complex data sets in order ...

Translate business questions into best-in-class research plans * Effectively democratize data and ... Experience using SQL, Python, or similar tools to manipulate large and complex data sets in order ...

Data Engineer

Logan, UT · On-site

$98K - $118K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

West Jordan, UT · On-site

$106K - $128K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Ogden, UT · On-site

$112K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Orem, UT · On-site

$99K - $119K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

West Jordan, UT · On-site

$106K - $128K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Ogden, UT · On-site

$112K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Logan, UT · On-site

$98K - $118K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Orem, UT · On-site

$99K - $119K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Showing results 41-60

Research Python information

Is Research Python good for research?

Research Python is a specialized role that involves using Python programming skills to support research activities, such as data analysis, automation, and modeling. Proficiency in Python, along with knowledge of scientific libraries like NumPy or pandas, makes it a valuable skill for research projects. The role often requires strong problem-solving abilities and familiarity with research environments or datasets.

What is a Research Python developer?

A Research Python Developer is a professional who uses the Python programming language to support and conduct research activities. They often work with data analysis, machine learning, simulation, and automation to solve scientific or academic problems. Their role may involve developing prototypes, processing large datasets, and collaborating with researchers to implement algorithms or models. Research Python Developers are commonly found in universities, research institutions, and tech companies focused on innovation.

What is the difference between Research Python vs Data Analyst?

AspectResearch PythonData Analyst
Required SkillsPython programming, research methodologies, data analysisData analysis, visualization, SQL, Excel
Work EnvironmentResearch labs, academic institutions, tech companiesBusiness settings, corporate offices, consulting firms
Common CertificationsPython certifications, research methodology coursesMicrosoft Excel, Tableau, SQL certifications
Industry UsageAcademic research, scientific projects, tech R&DBusiness intelligence, marketing, finance

Research Python focuses on using Python for scientific and academic research, emphasizing programming and research methodologies. Data Analysts primarily analyze and interpret data to support business decisions, often using tools like Excel and Tableau. While both roles require data skills, Research Python is more technical and research-oriented, whereas Data Analysts focus on data interpretation within business contexts.

Which research Python job is in demand?

Research Python roles in demand include data scientist, machine learning engineer, and AI researcher, often requiring strong programming skills, knowledge of libraries like NumPy and TensorFlow, and experience with data analysis. These positions are prevalent in industries such as technology, finance, and healthcare, with a focus on developing algorithms and models for data-driven insights.

What are the key skills and qualifications needed to thrive as a Research Python developer?

To thrive as a Research Python Developer, you need expertise in Python programming, data analysis, and a strong foundation in mathematics or computer science, often supported by an advanced degree. Familiarity with libraries such as NumPy, pandas, TensorFlow, and version control systems like Git is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating research goals into practical code. These skills are essential for developing robust research solutions, collaborating with interdisciplinary teams, and advancing scientific or technical projects.

What are some common challenges faced by Research Python developers when collaborating with cross-functional teams?

Research Python Developers often work alongside data scientists, domain experts, and engineers, which can present challenges such as aligning on project goals, translating research requirements into efficient code, and ensuring reproducibility of results. Effective communication and thorough documentation are key to overcoming these challenges. Additionally, Research Python Developers may need to adapt their code to integrate with different tools or platforms used by other team members, requiring flexibility and a willingness to learn new technical concepts.
What cities in Utah are hiring for Research Python jobs? Cities in Utah with the most Research Python job openings:

Post-Doctoral Researcher - Civil & Construction Engineering - Hydroinformatics and Global Hydrologic

Brigham Young University

Provo, UT • On-site

$109K/yr

Full-time

Posted 23 days ago


Brigham Young University rating

7.4

Company rating: 7.4 out of 10

Based on 88 frontline employees who took The Breakroom Quiz

337th of 617 rated colleges and universities


Job description

Job Title: Post-Doctoral Researcher - Civil & Construction Engineering - Hydroinformatics and Global Hydrologic Forecasting
Posting End Date: August 11, 2026
*NOTE: Last day to apply is Monday, August 10, 2026, at 11:59pm (MT)
Position Start Date: October 1, 2026
Required Degree:
PhD in Civil Engineering, Hydrology, Water Resources, Computer Science, or a closely related field.
The required degree must be completed by the start date.
Required Experience:
  • Strong background in hydrologic modeling, hydroinformatics, or environmental data science.
  • Demonstrated experience developing scientific or engineering software in Python or similar languages.
  • Experience working with large geospatial or time-series datasets.
  • Excellent written and verbal communication skills in English.

Preferred Qualifications
  • Experience with cloud computing platforms (AWS and/or Google Cloud Platform).
  • Familiarity with global or continental-scale hydrologic models (e.g., GEOGLOWS RFS, NOAA National Water Model).
  • Experience with hydrologic data services such as HydroShare, HydroServer, or WMO-aligned systems.
  • Prior work on open-source software projects and collaborative code versioning (e.g., Git/GitHub).
  • Interest in applied research with international partners and real-world decision-support contexts.
  • Experience with or interest in AI/machine learning applications in hydrology or environmental science.

Position Summary
The Post-Doctoral Researcher will support advanced technical and research activities for the GEOGLOWS (Global Earth Observation for Water Sustainability) initiative with a primary focus on hydrologic modeling systems, cloud-based data infrastructure, and applied hydroinformatics. The position will work closely with the GEOGLOWS technical lead to advance core system capabilities, support partner integrations, and translate research innovations into operational, globally scalable services.
This role emphasizes technical depth, software engineering rigor, and applied research, serving as a key contributor to system development, validation, and deployment across international partners.
Primary Duties and Responsibilities of the Post-Doctoral Researcher:
Hydrologic Modeling & Forecast Systems
  • Support the ongoing development, testing, and enhancement of the GEOGLOWS Global River Forecast System (RFS), including Version 3 upgrades and experimental workflows.
  • Contribute to model evaluation, validation, and uncertainty analysis in collaboration with international datasets and partner institutions.
  • Assist with integration of additional hydrologic components such as baseflow separation, groundwater and GRACE-based products, and long-range forecasting extensions.

Technical Development & Cloud Infrastructure
  • Design and implement software tools and workflows for hydrologic data processing, analysis, and visualization using Python and related scientific computing libraries.
  • Support cloud-based deployment and data distribution strategies using AWS and Google Cloud Platform resources, including open-data programs and scalable APIs.
  • Contribute to interoperability efforts between GEOGLOWS, and other external data providers, with emphasis on enabling communities to contribute shared data that improves both the RFS and partner other potential models.

Applied Research & Innovation
  • Conduct applied research that bridges hydrologic science with operational forecasting, decision-support tools, and real-world implementation in areas such as flood early warning and flood inundation modeling.
  • Codify and advance technical standards for hydrologic data sharing, reproducibility, and GEOGLOWS workflows, drawing from the existing RFS to make model outputs more accessible, interoperable, and able for other model providers to follow.
  • Co-author peer-reviewed journal articles, technical reports, and conference presentations related to global hydrologic forecasting and hydroinformatics.

Collaboration & Mentorship
  • Provide technical guidance to graduate and undergraduate students contributing to GEOGLOWS-related research and software development.
  • Collaborate with interdisciplinary team members and external partners working on validation, impact analysis, and regional implementation while maintaining a primary focus on technical contributions.
  • Support documentation, tutorials, and internal knowledge transfer to ensure continuity and scalability of technical systems.

Documents Required at the Time of Application: Please attach your updated curriculum vitae, cover letter, and Mission Alignment Statement (instructions below) to the faculty application.
Note: Failure to attach the required documents may result in your application not being considered.
This position requires the successful candidate to relocate and/or reside in Utah for the duration of their employment.
MISSION ALIGNMENT STATEMENT INSTRUCTIONS
If you are a member of the Church of Jesus Christ of Latter-day Saints:
BYU is committed to hiring faculty members who enthusiastically embrace and energetically advance its unique mission. To this end, please include a one-page mission alignment statement as part of your application that addresses how you might, as a BYU faculty member: (1) live a life of loyalty to Jesus Christ and His restored Church and align yourself with doctrine and teachings declared by living prophets, seers, and revelators; (2) demonstrate intentionality in building faith in Jesus Christ and testimony of His restored gospel among students and others in the BYU community; and (3) teach your subject matter with the Spirit of God and strive to keep it "bathed in the light and color of the restored gospel" (Spencer W. Kimball).
If you are not a member of the Church of Jesus Christ of Latter-day Saints:
Applicants who are not members of The Church of Jesus Christ of Latter-day Saints include a one-page mission alignment statement that describes understanding of and commitment to the Mission of Brigham Young University and the AIMS of a BYU Education.
EMPLOYMENT REQUIREMENTS
All new employees who are members of The Church of Jesus Christ of Latter-day Saints will be required to hold and be worthy to hold a current temple recommend.
All faculty are required to abide by the university's Honor Code and Dress & Grooming Standards. Preference is given to qualified candidates who are members in good standing of the affiliated church, The Church of Jesus Christ of Latter-day Saints. Successful candidates are expected to support and contribute to the academic and religious missions of the university within the context of the principles and doctrine of the affiliated church.
EQUAL OPPORTUNITY
Brigham Young University is an equal opportunity employer, including disability and protected veteran status.

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