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Science Graphic Design Remote Jobs in Rochester, MN

micro1 AI

Medical Writing Manager

Rochester, MN · Remote

$50 - $80/hr

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... Evaluate scientific accuracy in narrative sections such as efficacy, safety summaries, discussion ...

Mayo Clinic

Education Specialist

Rochester, MN · On-site +1

... Science. This position will support the MCGSBS Curriculum. This position is a combination of remote ... Demonstrated education experience in instructional design related background. Must have excellent ...

Mayo Clinic

Education Specialist

Rochester, MN · On-site +1

... Science. This position will support the MCGSBS Curriculum. This position is a combination of remote ... Demonstrated education experience in instructional design related background. Must have excellent ...

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Science Graphic Design Remote information

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$12

$27

$43

How much do science graphic design remote jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for science graphic design remote in Rochester, MN is $27.34, according to ZipRecruiter salary data. Most workers in this role earn between $20.29 and $31.78 per hour, depending on experience, location, and employer.

What is a science graphic designer?

A Science Graphic Designer working remotely is a professional who creates visual content—such as infographics, diagrams, illustrations, and data visualizations—to communicate scientific information clearly and effectively. They collaborate with scientists, researchers, and educators, but perform their work from a remote location, often using digital tools and communication platforms. This role requires both design expertise and a solid understanding of scientific concepts in order to translate complex data into accessible visuals for a variety of audiences.

What are the key skills and qualifications needed to thrive as a science graphic design remote professional, and why are they important?

To thrive as a Science Graphic Design Remote professional, you need a strong background in graphic design principles, visual communication, and scientific literacy, often supported by a relevant degree or equivalent experience. Proficiency with design software such as Adobe Creative Suite, data visualization tools, and remote collaboration platforms is crucial. Attention to detail, creativity, and effective communication help you translate complex scientific concepts into visually engaging content. These skills ensure accurate, clear, and impactful visual communication that supports scientific understanding in remote work environments.

What is the difference between Science Graphic Design Remote vs Scientific Illustrator?

AspectScience Graphic Design RemoteScientific Illustrator
Required CredentialsDesign degree, proficiency in graphic tools, basic science knowledgeArt or science degree, illustration skills, scientific understanding
Work EnvironmentRemote, digital collaborationRemote or studio, often detailed, hand-drawn or digital
Industry UsageEducational, marketing, scientific publicationsResearch publications, educational materials, scientific presentations

Science Graphic Design Remote and Scientific Illustrator both require a blend of science knowledge and artistic skills. However, Science Graphic Design Remote focuses more on creating visual content for communication and marketing, often using digital tools remotely. Scientific Illustrators typically produce detailed, accurate scientific images, which may involve hand-drawing or digital illustration, and often work closely with researchers. Both roles are essential in scientific communication but differ in their primary focus and style.

What are the main challenges of working as a remote science graphic designer, and how can they be addressed?

Remote science graphic designers often face challenges such as communicating complex scientific concepts visually while collaborating with scientists and research teams across different locations. To overcome these challenges, it's crucial to establish clear communication channels, use collaborative design tools, and regularly seek feedback to ensure the visuals accurately represent the intended science. Additionally, staying updated on both scientific trends and design best practices helps deliver impactful and accurate graphics. Building strong relationships with team members and clients remotely can also foster a productive and supportive work environment.
What are the most commonly searched types of Science Graphic Design jobs in Rochester, MN? The most popular types of Science Graphic Design jobs in Rochester, MN are:
What are popular job titles related to Science Graphic Design Remote jobs in Rochester, MN? For Science Graphic Design Remote jobs in Rochester, MN, the most frequently searched job titles are:
What job categories do people searching Science Graphic Design Remote jobs in Rochester, MN look for? The top searched job categories for Science Graphic Design Remote jobs in Rochester, MN are:
What cities near Rochester, MN are hiring for Science Graphic Design Remote jobs? Cities near Rochester, MN with the most Science Graphic Design Remote job openings:
Science Graphic Design Remote jobs near you
Infographic showing various Science Graphic Design Remote job openings in Rochester, MN as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $56,874 per year, or $27.3 per hour.

Principal Data Engineer - Enterprise Data & Analytics - Remote

Mayo Clinic

Rochester, MN • On-site, Remote

$111K - $134K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 9 days ago

Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 696 frontline employees who took The Breakroom Quiz

130th of 887 rated healthcare providers

Job description

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.

Responsibilities

The Principal Data Engineer serves as a hands-on technical authority responsible for defining and implementing enterprise-scale data architecture and engineering strategies while actively contributing to solution design, development, optimization, and technical delivery. As part of an assigned product team, this role develops and deploys data pipelines, integrations, and transformations to support analytics and machine learning applications using open-source programming languages and vendor software. The position requires a strong understanding of the organization's current solutions, coding languages, tools, and Enterprise Data and Analytics technology framework, as well as the ability to apply independent judgment, provide consultative services to departments, divisions, and leadership committees, and partner with product owners and Analytics and Machine Learning delivery teams to identify and retrieve data, conduct exploratory analysis, transform data, visualize trends, build and validate analytical models, and translate qualitative and quantitative assessments into actionable insights.


Key responsibilities:
These positions are hands-on engineering roles. In this role, employees are expected to actively design, develop, review, and optimize production code and platform capabilities while providing technical leadership and mentorship to engineering teams.
 


Qualifications

A Bachelor's degree in a relevant field such as engineering, mathematics, computer science, information technology, health science, or other analytical/quantitative field and a minimum of seven years of professional or research experience in data visualization, data engineering, analytical modeling techniques; OR an Associate's degree in a relevant field such as engineering, mathematics, computer science, information technology, health science, or other analytical/quantitative field and a minimum of nine years of professional or research experience in data visualization, data engineering, analytical modeling techniques. In-depth business or practice knowledge will also be considered. 

Incumbent must have the ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Interpersonal skills, time management skills, and demonstrated experience working on cross functional teams are required. Requires strong analytical skills and the ability to identify and recommend solutions and a commitment to customer service. The position requires excellent verbal and written communication skills, attention to detail, and a high capacity for learning and problem resolution. Advanced experience in SQL is required. Advanced Experience in scripting languages such as Python, JavaScript, PHP, C++ or Java & API integration is required. Experience in hybrid data processing methods (batch and streaming) such as Apache Spark, Hive, Pig, Kafka is required. Experience with big data, statistics, and machine learning is required. The ability to navigate linux and windows operating systems is required. Knowledge of workflow scheduling (Apache Airflow Google Composer), Infrastructure as code (Kubernetes, Docker) CI/CD (Jenkins, Github Actions) is required. Experience in DataOps/DevOps and agile methodologies is required. Experience with hybrid data virtualization such as Denodo is preferred. Working knowledge of Tableau, Power BI, SAS, ThoughtSpot, DASH, d3, React, Snowflake, SSIS, and Google Big Query is preferred. 

The preferred candidate will possess:

  • Expert-level proficiency in Python and SQL with extensive experience developing enterprise-scale production systems.
  • Advanced expertise in scalable distributed computing frameworks and modern data processing platforms.
  • Advanced experience implementing and governing open data architectures utilizing Apache Iceberg, Delta Lake, Apache Hudi, and related technologies.
  • Deep understanding of modern analytical storage formats including Parquet, Avro, and ORC.
  • Demonstrated expertise in lakehouse architecture, data platform design, and large-scale data engineering practices.
  • Experience architecting and implementing cloud-agnostic solutions across multiple technology ecosystems.
  • Experience designing highly scalable, fault-tolerant, secure, and observable data platforms supporting analytics, AI, machine learning, and operational workloads.
  • Experience establishing enterprise engineering standards, architecture patterns, and modernization strategies.

Exemption Status
Exempt
Compensation Detail
$155,500.80 - $225,492.80/ year. Education, experience and tenure may be considered along with internal equity when job offers are extended.
Benefits Eligible
Yes
Schedule
Full Time
Hours/Pay Period
80
Schedule Details
M-F daytime hours 100% remote role, the employee needs to live within the US.
Weekend Schedule
As business needs dictate
International Assignment
No
Site Description
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. 

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the 'EOE is the Law'.  Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

Recruiter
Laura PercivalQualifications:

A Bachelor's degree in a relevant field such as engineering, mathematics, computer science, information technology, health science, or other analytical/quantitative field and a minimum of seven years of professional or research experience in data visualization, data engineering, analytical modeling techniques; OR an Associate's degree in a relevant field such as engineering, mathematics, computer science, information technology, health science, or other analytical/quantitative field and a minimum of nine years of professional or research experience in data visualization, data engineering, analytical modeling techniques. In-depth business or practice knowledge will also be considered. 

Incumbent must have the ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Interpersonal skills, time management skills, and demonstrated experience working on cross functional teams are required. Requires strong analytical skills and the ability to identify and recommend solutions and a commitment to customer service. The position requires excellent verbal and written communication skills, attention to detail, and a high capacity for learning and problem resolution. Advanced experience in SQL is required. Advanced Experience in scripting languages such as Python, JavaScript, PHP, C++ or Java & API integration is required. Experience in hybrid data processing methods (batch and streaming) such as Apache Spark, Hive, Pig, Kafka is required. Experience with big data, statistics, and machine learning is required. The ability to navigate linux and windows operating systems is required. Knowledge of workflow scheduling (Apache Airflow Google Composer), Infrastructure as code (Kubernetes, Docker) CI/CD (Jenkins, Github Actions) is required. Experience in DataOps/DevOps and agile methodologies is required. Experience with hybrid data virtualization such as Denodo is preferred. Working knowledge of Tableau, Power BI, SAS, ThoughtSpot, DASH, d3, React, Snowflake, SSIS, and Google Big Query is preferred. 

The preferred candidate will possess:

  • Expert-level proficiency in Python and SQL with extensive experience developing enterprise-scale production systems.
  • Advanced expertise in scalable distributed computing frameworks and modern data processing platforms.
  • Advanced experience implementing and governing open data architectures utilizing Apache Iceberg, Delta Lake, Apache Hudi, and related technologies.
  • Deep understanding of modern analytical storage formats including Parquet, Avro, and ORC.
  • Demonstrated expertise in lakehouse architecture, data platform design, and large-scale data engineering practices.
  • Experience architecting and implementing cloud-agnostic solutions across multiple technology ecosystems.
  • Experience designing highly scalable, fault-tolerant, secure, and observable data platforms supporting analytics, AI, machine learning, and operational workloads.
  • Experience establishing enterprise engineering standards, architecture patterns, and modernization strategies.

What Mayo Clinic employees say

Pay

Benefits

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About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919

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