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Remote Sports Software Engineer Jobs in Bend, OR

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 ...

Senior SCADA Engineer, EPC (Remote)

Bend, OR · On-site +1

$110K - $151K/yr

Own end-to-end PPC implementationon assigned projects, including programming, hardware/software ... recruiter. #LI-Remote Job Number: J13355 If you're interested in a meaningful career with a ...

The HV SCADA Engineer II will provide intermediate level engineering support for the design ... Experience withIgnition SCADA softwareor other HMI design software * Knowledge of design ...

Senior SCADA Engineer, EPC (Remote)

Bend, OR · On-site +1

$110K - $151K/yr

Own end-to-end PPC implementation on assigned projects, including programming, hardware/software ... recruiter. #LI-Remote Job Number: J13355 If you're interested in a meaningful career with a ...

Lead EPC Substation Project Engineer

Bend, OR · On-site +1

$103K - $132K/yr

This role has remote working capabilities, but candidates should be located in the Pacific ... Experience with engineering programs and software (including SKM, ASPEN, ETAP, CDEGS, or vendor ...

Remote Sports Software Engineer information

See Bend, OR salary details

$67K

$155.6K

$216.8K

How much do remote sports software engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote sports software engineer in Bend, OR is $155,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,600.00 and $182,500.00 per year, depending on experience, location, and employer.

What is a remote sports software engineer?

A Remote Sports Software Engineer is a technology professional who designs, develops, and maintains software applications specifically for the sports industry, while working from a remote location. These engineers may work on projects such as sports analytics platforms, live scoring applications, fantasy sports apps, or systems for sports broadcasting. Their role often involves collaborating with other developers, product managers, and clients virtually, leveraging communication tools and cloud-based development environments. Remote Sports Software Engineers typically require strong programming skills, domain knowledge in sports, and experience with remote work best practices.

What are the key skills and qualifications needed to thrive as a remote sports software engineer?

To thrive as a Remote Sports Software Engineer, you need a strong background in computer science, programming languages (such as Python, Java, or C++), and experience with sports data analytics or related domains. Familiarity with development tools like Git, cloud platforms (AWS or Azure), and frameworks for real-time data processing or visualization is often required. Strong problem-solving abilities, effective communication, and self-motivation are essential soft skills for remote collaboration and delivering reliable solutions. These skills and qualities ensure the development of high-quality, real-time sports software that meets the dynamic needs of users and stakeholders in a distributed work environment.

What are some unique challenges faced by remote sports software engineers when collaborating with cross-functional teams?

Remote Sports Software Engineers often work closely with product managers, data analysts, and UX designers who may be located in different time zones. Coordinating development cycles, ensuring real-time communication, and aligning on fast-changing sports data requirements can be challenging. To overcome these hurdles, engineers rely heavily on asynchronous communication tools, clear documentation, and regular virtual meetings. Building strong relationships and maintaining proactive communication are key to ensuring smooth collaboration and high-quality deliverables in this dynamic, sports-driven environment.

What job categories do people searching Remote Sports Software Engineer jobs in Bend, OR look for?

The top searched job categories for Remote Sports Software Engineer jobs in Bend, OR are:

What cities near Bend, OR are hiring for Remote Sports Software Engineer jobs?

Cities near Bend, OR with the most Remote Sports Software Engineer job openings:

Infographic showing various Remote Sports Software Engineer job openings in Bend, OR as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $155,637 per year, or $74.8 per hour.

Bioinformatics Software Engineer

micro1 AI

Bend, OR • Remote

$80 - $110/hr

Part-time

Posted 13 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.