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How much do on call computer science startup jobs pay per year?

As of May 30, 2026, the average yearly pay for on call computer science startup in the United States is $102,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $115,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an On-Call Computer Science Startup Professional, and why are they important?

To thrive as an On-Call Computer Science Startup Professional, you need strong programming skills, problem-solving abilities, and a solid understanding of computer science fundamentals, often supported by a relevant degree or equivalent experience. Familiarity with cloud platforms, version control systems like Git, and frameworks commonly used for rapid prototyping is essential. Outstanding communication, adaptability, and time management skills help you excel when responding to urgent challenges and collaborating with dynamic teams. These competencies are crucial for effectively addressing technical issues, ensuring business continuity, and driving innovation in a fast-paced startup environment.

What are some common challenges faced by team members in an on-call computer science startup role?

Team members in on-call computer science startup roles often face the challenge of balancing unpredictable work hours with personal life, as urgent technical issues can arise at any time. They must be adept at quickly diagnosing and resolving complex problems, sometimes under significant time pressure. Additionally, adapting to rapidly changing project scopes and collaborating closely with cross-functional teams in a fast-paced environment is essential. Effective communication and stress management skills are crucial to succeed and grow in this dynamic setting.

What is an On Call Computer Science Startup?

An On Call Computer Science Startup is a company that provides flexible, technology-driven solutions and support on an as-needed basis. These startups often offer services such as software development, troubleshooting, consulting, or technical support for clients who require immediate or short-term assistance. The 'on call' aspect means their team is available outside of typical business hours or at short notice, catering to urgent or unpredictable technology needs. This business model is especially valuable for organizations that do not have in-house IT staff or need specialized expertise for specific projects.

What is the difference between On Call Computer Science Startup vs Software Developer?

AspectOn Call Computer Science StartupSoftware Developer
CredentialsTypically requires a degree in computer science or related field, sometimes certifications in specific technologiesUsually requires a degree in computer science, software engineering, or related field; certifications are optional
Work EnvironmentFast-paced, dynamic startup setting, often remote or flexible hours, with on-demand support rolesOffice or remote-based, structured hours, focused on developing software products or applications
Employer & Industry UsageCommon in tech startups providing on-demand technical support or consulting servicesWidely used across industries for building and maintaining software solutions

In summary, On Call Computer Science Startup roles focus on providing immediate technical support in a startup environment, often with flexible hours, while Software Developers primarily design, code, and maintain software products in more structured settings. Both roles require similar technical credentials but differ in work environment and job focus.

More about On Call Computer Science Startup jobs
What cities are hiring for On Call Computer Science Startup jobs? Cities with the most On Call Computer Science Startup job openings:
What are the most commonly searched types of Computer Science Startup jobs? The most popular types of Computer Science Startup jobs are:
What states have the most On Call Computer Science Startup jobs? States with the most job openings for On Call Computer Science Startup jobs include:
What job categories do people searching On Call Computer Science Startup jobs look for? The top searched job categories for On Call Computer Science Startup jobs are:
On Call Computer Science Startup jobs near you
Infographic showing various On Call Computer Science Startup job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 67% Full Time, 9% Part Time, 2% Temporary, and 21% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $102,500 per year, or $49.3 per hour.

Computer Systems Validation Specialist

kindeva

Saint Louis, MO

Other

Posted 14 days ago

Kindeva rating

6.8

Company rating: 6.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

Our Work Matters

At Kindeva we make products that save lives, ensuring better health and well-being for patients around the world.

The Impact You Will Make

The Computer System Validation (CSV) Specialist is responsible for ensuring that all GxP computer systems used in pharmaceutical manufacturing environments are validated, maintained, and compliant with applicable regulatory requirements including FDA 21 CFR Part 11, EU Annex 11, and GAMP 5 guidelines.

This role supports the full lifecycle of computerized systems including implementation, qualification, maintenance, periodic review, and retirement, ensuring data integrity, system reliability, and inspection readiness across multiple sites or facilities.

Responsibilities

  • Validation Lifecycle Execution
    • Lead and/or support validation activities for GxP computerized systems including MES, SCADA/PLC, LIMS, EM systems, and serialization/packaging systems
    • Author and execute validation documentation: URS, FS/DS, Risk Assessments, IQ/OQ/PQ, Traceability Matrices, Periodic Reviews / Audit Trail Reviews
    • Ensure validation deliverables meet internal SOPs and regulatory expectation
  • Regulatory Compliance & Data Integrity
    • Ensure compliance with 21 CFR Part 11, EU Annex 11, and ALCOA+ principles
    • Perform periodic reviews of validated systems
    • Support FDA, EMA, and internal audits/inspections
    • Assess and remediate data integrity risks
  • Change Control & Lifecycle Management
    • Support system changes through formal change control processes
    • Evaluate impact of updates, patches, and configuration changes
    • Ensure appropriate re-validation activities
    • Maintain systems in a validated state
  • Risk-Based Validation Strategy
    • Apply GAMP 5 risk-based validation approach
    • Classify systems based on complexity and GxP impact
    • Lead risk assessments (FMEA, system risk ranking)
  • Cross-Functional Collaboration
    • Partner with IT, QA, Manufacturing, MS&T, and Engineering
    • Provide CSV guidance during system implementation and facility startup
    • Support digital transformation initiatives
  • Documentation & Inspection Readiness
    • Maintain GMP-compliant validation documentation
    • Ensure audit readiness and traceability
    • Support responses to audit findings and regulatory observations
  • Continuous Improvement
    • Improve validation processes and templates
    • Support implementation of electronic validation systems (e.g., Kneat, Veeva)
    • Drive standardization across sites

Qualifications

  • Bachelor’s degree in Engineering, Computer Science, Information Systems, Life Sciences, or related field
  • Minimum of 5 years in Computer System Validation in GMP-regulated pharmaceutical or biotech environments
  • Experience with manufacturing and laboratory systems validation
  • Hands-on experience with Part 11 / Annex 11 compliance
  • Strong knowledge of GAMP 5, 21 CFR Part 11, EU Annex 11, and ALCOA+
  • Familiarity with MES, ERP, LIMS, SCADA/PLC systems
  • Understanding of system architecture, interfaces, backup, disaster recovery, and cybersecurity
  • Experience in aseptic/sterile injectable manufacturing preferred
  • Multi-site validation program experience preferred
  • Familiarity with serialization, AVI systems, and cold storage monitoring preferred
  • Experience with Kneat, ValGenesis, or Veeva is desirable
  • Experience with facility startup and commissioning

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