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Remote Coder Jobs in Sunnyvale, CA (NOW HIRING)

Android Developer - Remote

San Jose, CA · On-site +1

$60.50 - $79.50/hr

Remote (Need to work in PST TIme Zone) Duration: 12+ months Role Overview: We are looking for an ... in code reviews, unit testing, and continuous integration processes. Required Skills ...

Seattle (REMOTE 100% / Could be traveling to different locations) Duration: 6 months Role ... coding, testing, integration, application tuning and delivery Essential Skills: 5 years of work ...

Remote (U.S.) Duration: 12-Month Contract (High Potential for Extension) Schedule: Full-Time (40 ... Develop cloud infrastructure using Infrastructure as Code (Terraform). * Collaborate with cross ...

Showing results 21-40

Remote Coder information

See Sunnyvale, CA salary details

$18

$32

$51

How much do remote coder jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote coder in Sunnyvale, CA is $32.27, according to ZipRecruiter salary data. Most workers in this role earn between $22.31 and $40.62 per hour, depending on experience, location, and employer.

What is the difference between Remote Coder vs Medical Biller?

AspectRemote CoderMedical Biller
Required CredentialsCertification in medical coding (e.g., CPC)Certification in medical billing or coding (e.g., CPC, CPC-A)
Work EnvironmentRemote or in healthcare facilitiesRemote or in healthcare offices
Industry UsageHealthcare, insurance companies, hospitalsHealthcare providers, billing companies, hospitals
Job FocusAssigning codes for diagnoses and proceduresProcessing insurance claims and payments

Remote Coders primarily focus on reviewing medical records and assigning appropriate codes for billing and documentation, while Medical Billers handle submitting claims and following up on payments. Both roles often require similar certifications and can be performed remotely, but their core responsibilities differ within the healthcare revenue cycle.

What is a remote coder?

A Remote Coder is a professional who writes and maintains computer code for software applications while working from a location outside of a traditional office, often from home or any place with internet connectivity. Remote Coders collaborate with teams using online tools and are responsible for tasks such as debugging, code reviews, and implementing features. This role offers flexibility and may require strong communication skills and self-motivation to meet project deadlines. Remote Coders can work in various industries, including technology, healthcare, and finance.

What does a remote coder do?

Remote medical coders handle patient information to ensure their medical services are billed properly to their insurance company. This administrative position is sometimes referred to as medical records technicians or health information technicians. Unlike coders who work in the office, remote medical coders work from home or another location outside of the office. Remote medical coders collect, research, and file patient medical information. As a remote medical coder, your primary responsibilities include making sure that all the data in a patient’s record is accurate and up-to-date, organizing patient data within multiple databases, and using medical codes to determine reimbursement for insurance billing purposes.

What are the key skills and qualifications needed to thrive as a remote coder, and why are they important?

To thrive as a Remote Coder, you need in-depth knowledge of medical coding systems, anatomy, and healthcare regulations, typically supported by a certification such as CPC, CCS, or CCA. Familiarity with electronic health records (EHR) software, coding tools like ICD-10-CM/PCS, CPT, and online coding platforms is essential. Strong attention to detail, time management, and self-motivation are critical soft skills for accuracy and productivity in a remote setting. These skills ensure precise coding, compliance with healthcare standards, and reliable performance while working independently.

What are some common challenges faced by remote coders and how can they be effectively managed?

Remote coders often encounter challenges such as maintaining clear communication with team members across time zones, managing distractions in a home environment, and staying motivated without in-person supervision. To address these, it's important to utilize collaboration tools (like Slack or Zoom), set up a dedicated workspace, and establish a structured daily routine. Regular check-ins with your team and proactive communication can also help ensure alignment on project goals and deadlines.
What are the most commonly searched types of Coder jobs in Sunnyvale, CA? The most popular types of Coder jobs in Sunnyvale, CA are:
What are popular job titles related to Remote Coder jobs in Sunnyvale, CA? For Remote Coder jobs in Sunnyvale, CA, the most frequently searched job titles are:
What job categories do people searching Remote Coder jobs in Sunnyvale, CA look for? The top searched job categories for Remote Coder jobs in Sunnyvale, CA are:
What cities near Sunnyvale, CA are hiring for Remote Coder jobs? Cities near Sunnyvale, CA with the most Remote Coder job openings:
Infographic showing various Remote Coder job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 79% Full Time, 12% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $67,112 per year, or $32.3 per hour.

Junior Computational Biologist (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$30 - $34/hr

Full-time

Re-posted 26 days ago


Job description

Pay Rate Low: 30 | Pay Rate High: 34
A leading biotechnology research organization is seeking a Junior Computational Biologist to support efforts in refining how cellular states are quantified and validated!
Title: Jr. Computational Biologist (Remote Contract)
Location: Remote (Must be available during PST business hours)
Compensation: $30-34/hour + benefits
Contract Duration: 6-12+ months
Job Duties:
This project will focus on benchmarking functional scoring methodologies and improving interpretability of high-dimensional transcriptomic datasets.
The selected candidate will contribute to distinguishing true biological signal from technical variation in large-scale single-cell atlases, directly enhancing the reliability of automated cell-state classification frameworks.
Start Date: July 1, 2026
  • Duration: Through December 18, 2026
  • Commitment: Full-time (100%)
  • Ideal Candidate: Upcoming June 2026 PhD graduate or recent PhD graduate
  • Location: Onsite in South San Francisco, CA preferred; remote within the U.S. considered (must work PST hours)
  • Visa Sponsorship: Not availabl

Key Responsibilities
  • Systematically evaluate and benchmark computational approaches for quantifying phenotype activation across single-cell transcriptomic datasets.
  • Establish rigorous statistical baselines and negative-control frameworks to improve the robustness of automated cell-state classification methods.
  • Develop or refine computational methods to address limitations in current approaches.
  • Design strategies to distinguish genuine biological signatures from stochastic or technical noise.
  • Present findings in internal scientific reviews and contribute to potential conference abstracts or peer-reviewed publications.

Required Qualifications
  • Extensive hands-on experience in single-cell data analysis using Scanpy, AnnData, and Pandas.
  • Strong proficiency implementing statistical and machine learning models using scikit-learn and SciPy.
  • Demonstrated commitment to reproducible research practices and well-organized code.
  • Ability to clearly communicate complex computational concepts to interdisciplinary scientific teams.
  • Master's degree with ongoing PhD pursuit, or recent PhD graduate, in Computational Biology, Computer Science, Machine Learning, or related quantitative discipline.
  • Interest in drug discovery and comfort working in dynamic, research-driven environments.

Preferred Qualifications
  • Background knowledge in cell biology and/or immunology.
  • Experience with hypothesis testing, noise modeling, and benchmarking computational tools.
  • Familiarity with Explainable AI (XAI) approaches or large-scale biological datasets.
  • Demonstrated ability to build or extend novel bioinformatics pipelines.
    INDBH
    #LI-MG1