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Entry Level Software Engineer Remote Jobs in Utah

micro1 AI

Bioinformatics Software Engineer

Provo, UT · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

micro1 AI

Bioinformatics Software Engineer

West Jordan, UT · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

KEYENCE

Field Application Engineer '27

Salt Lake City, UT · On-site +1

$53K - $80K/yr

... | Entry-Level | Full-Time Are you ready to launch your career with one of the world's most ... Provide on-call, on-site and remote technical support, training, and troubleshooting * Travel ...

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Entry Level Software Engineer Remote information

See Utah salary details

$21.8K

$95.5K

$172.1K

How much do entry level software engineer remote jobs pay per year?

As of Aug 23, 2026, the average yearly pay for entry level software engineer remote in Utah is $95,464.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,200.00 and $109,200.00 per year, depending on experience, location, and employer.

What does an entry level software engineer do when working remotely?

An entry level software engineer working remotely is responsible for writing and testing code, fixing bugs, and collaborating with team members through online tools. They often work on assigned tasks or projects under the guidance of more experienced engineers. Communication, time management, and self-motivation are important skills for remote work. Entry level engineers may also participate in code reviews, attend virtual meetings, and learn new technologies as part of their development.

What are the key skills and qualifications needed to thrive as an entry level software engineer remote?

To thrive as an Entry Level Software Engineer (Remote), you need a solid understanding of programming languages (like Python, Java, or JavaScript), computer science fundamentals, and typically a relevant degree or coding bootcamp certification. Familiarity with version control tools (such as Git), cloud platforms, and development environments is highly valued. Strong problem-solving abilities, self-motivation, and clear communication skills help remote engineers collaborate effectively and manage independent tasks. These skills and qualities enable productivity, code quality, and seamless teamwork in a distributed work environment.

How does an entry level remote software engineer typically collaborate with their team?

As an entry level remote software engineer, you'll primarily use digital collaboration tools like Slack, Zoom, and project management platforms such as Jira or Trello to communicate with your team. Regular video meetings, code reviews, and pair programming sessions help maintain connection and ensure you receive guidance and feedback. You'll often work closely with senior engineers and product managers, contributing to group projects while also having opportunities to take ownership of smaller tasks. Clear communication and proactive participation are key to thriving in this remote, team-oriented environment.

What is the difference between Entry Level Software Engineer Remote vs Junior Software Developer?

AspectEntry Level Software Engineer RemoteJunior Software Developer
Required CredentialsBachelor's in CS or related field; some certificationsBachelor's in CS or related field; minimal certifications
Work EnvironmentRemote, collaborative teams, entry-level projectsRemote or on-site, entry-level tasks, team-based
Employer & Industry UsageTech companies, startups, IT servicesSoftware firms, tech startups, consulting
Search & Comparison IntentUnderstanding entry-level remote roles in software engineeringComparing junior developer roles with similar titles

Entry Level Software Engineer Remote and Junior Software Developer roles often require similar educational backgrounds and work environments. The main difference lies in job titles used by employers, with 'Software Engineer' emphasizing a broader engineering scope, while 'Junior Developer' may focus more on coding tasks. Both roles are suitable for recent graduates seeking remote opportunities in tech industries.

Is 25 too late to become an entry level software engineer remote?

Age is not a barrier to becoming an entry-level software engineer remotely. Many employers value skills, coding ability, and relevant experience over age, and individuals can start learning programming languages and building portfolios at any age to qualify for such roles.

What are the most commonly searched types of Software Engineer Remote jobs in Utah?

The most popular types of Software Engineer Remote jobs in Utah are:

What are popular job titles related to Entry Level Software Engineer Remote jobs in Utah?

For Entry Level Software Engineer Remote jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Entry Level Software Engineer Remote jobs in Utah look for?

The top searched job categories for Entry Level Software Engineer Remote jobs in Utah are:

What cities in Utah are hiring for Entry Level Software Engineer Remote jobs?

Cities in Utah with the most Entry Level Software Engineer Remote job openings:

Entry Level Software Engineer Remote jobs near you
Infographic showing various Entry Level Software Engineer Remote job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $95,464 per year, or $45.9 per hour.

Bioinformatics Software Engineer

micro1 AI

Provo, UT • Remote

$80 - $110/hr

Part-time

Posted 20 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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