1

Temporary Bioinformatics Software Engineer Jobs in Colorado

Senior Lab Systems Scientist

Boulder, CO

$94K - $129K/yr

The Senior Laboratory Systems Scientist will collaborate with R&D, Software, Bioinformatics, Laboratory Operations, Automation Engineering, and RA/QA to lead cross-functional initiatives including ...

Senior Lab Systems Scientist

Boulder, CO · On-site

$94K - $129K/yr

The Senior Laboratory Systems Scientist will collaborate with R&D, Software, Bioinformatics, Laboratory Operations, Automation Engineering, and RA/QA to lead cross-functional initiatives including ...

Cloud Engineer

Colorado Springs, CO · On-site

$50 - $80/hr

Collaborate with software developers, systems engineers, and operations teams to design and ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

About this role: We're looking for a Full Stack Developer (main back end focus) to work on our ... temporary band-aids. - Prioritization : We focus relentlessly on what is important, not just what ...

Senior Structural Engineer

Denver, CO · On-site

$90K - $110K/yr

You'llwork on temporary works design, erection engineering, constructionsequencing, and steel ... software (e.g., Navisworks). * Effectivecommunication with a proactive approach to workload ...

About this role: We're looking for a Full Stack Developer (main back end focus) to work on our ... temporary band-aids. - Prioritization : We focus relentlessly on what is important, not just what ...

Collaborate with Fire Alarm Software. * Assist with technical calls for customers. * Develop ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

next page

Showing results 1-20

Temporary Bioinformatics Software Engineer information

What is the difference between Temporary Bioinformatics Software Engineer vs Bioinformatics Data Analyst?

AspectTemporary Bioinformatics Software EngineerBioinformatics Data Analyst
CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldBachelor's or Master's in Bioinformatics, Biology, or related field
Work EnvironmentProject-based, software development teams, research labsData interpretation, reporting, research teams
Industry UsageBiotech, pharma, research institutionsHealthcare, research, biotech

Temporary Bioinformatics Software Engineers focus on developing and maintaining bioinformatics tools and pipelines, often working in software development environments. Bioinformatics Data Analysts primarily interpret and analyze biological data, providing insights for research or clinical decisions. While both roles require bioinformatics knowledge, their core responsibilities and work settings differ.

What engineers make $500,000?

Senior engineers in specialized fields such as software, petroleum, or aerospace engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in large corporations or high-demand industries.

What types of projects and collaborations can a Temporary Bioinformatics Software Engineer expect to be involved in?

As a Temporary Bioinformatics Software Engineer, you will typically work on short-term projects such as developing or maintaining data analysis pipelines, optimizing algorithms for genomic data processing, or integrating software tools with laboratory information management systems. Collaboration is frequent with research scientists, data analysts, and other engineers, often through agile project teams or cross-functional meetings. The fast-paced nature of temporary roles means you’ll need to quickly adapt to new codebases, contribute to ongoing research, and communicate technical findings effectively. This can be a great opportunity to build specialized skills, expand your professional network, and gain exposure to the latest advancements in bioinformatics.

Is bioinformatics a software engineer?

A bioinformatics software engineer is a professional who develops software tools and algorithms to analyze biological data, often requiring programming skills in languages like Python or R. While they work with software development, they specialize in applying computational methods to biological research rather than traditional software engineering roles.

Is bioinformatics a good career in 2026?

Bioinformatics is a growing field with strong demand for software engineers skilled in programming, data analysis, and biological data management. The role of a bioinformatics software engineer offers opportunities in research, healthcare, and biotech industries, often requiring knowledge of tools like Python, R, and Linux. Job prospects are expected to remain favorable due to increasing reliance on computational methods in life sciences.

Is AI going to replace bioinformatics?

AI is a tool that enhances bioinformatics by automating data analysis and pattern recognition, but it is unlikely to fully replace bioinformatics software engineers. These professionals are essential for developing, maintaining, and interpreting complex algorithms and datasets, often requiring expertise in programming, biology, and data science. AI complements their work but does not eliminate the need for human oversight and domain knowledge.

What are the key skills and qualifications needed to thrive as a Temporary Bioinformatics Software Engineer, and why are they important?

To thrive as a Temporary Bioinformatics Software Engineer, you need a solid background in computer science, biology, and programming languages such as Python, R, or Java, often with a degree in bioinformatics or a related field. Familiarity with bioinformatics tools, databases (e.g., BLAST, Ensembl), and experience using version control systems like Git are typically required. Strong analytical thinking, adaptability, and effective communication are crucial for collaborating with multidisciplinary teams and handling changing project needs. These skills enable efficient development and maintenance of software solutions that support complex biological data analysis in a fast-paced, project-driven environment.

What does a Temporary Bioinformatics Software Engineer do?

A Temporary Bioinformatics Software Engineer develops and maintains software tools and applications used in biological and genomic research, typically for a specific short-term project or to cover a staffing gap. They collaborate with scientists to analyze data, automate workflows, and ensure the accuracy of computational methods. Their work often involves writing code, managing databases, and troubleshooting technical issues related to the processing of biological data. Temporary roles usually focus on delivering specific features or supporting research within a defined timeframe.
What are the most commonly searched types of Bioinformatics Software Engineer jobs in Colorado? The most popular types of Bioinformatics Software Engineer jobs in Colorado are:
What job categories do people searching Temporary Bioinformatics Software Engineer jobs in Colorado look for? The top searched job categories for Temporary Bioinformatics Software Engineer jobs in Colorado are:
What cities in Colorado are hiring for Temporary Bioinformatics Software Engineer jobs? Cities in Colorado with the most Temporary Bioinformatics Software Engineer job openings:
Senior Lab Systems Scientist

Senior Lab Systems Scientist

Natera

Boulder, CO

$94K - $129K/yr

Other

Posted 4 days ago


Natera rating

7.7

Company rating: 7.7 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

51st of 105 rated laboratories


Job description

Location: On-Site in Boulder, CO

About The Role

The Senior Laboratory Systems Scientist at Foresight Diagnostics is a critical senior individual contributor within our Operational Excellence and Process Engineering team and is responsible for leading the architecture, development, and continuous improvement of laboratory systems that enable scalable clinical testing operations. This role serves as a scientific and technical leader responsible for designing, implementing, and optimizing laboratory technologies leveraging advanced scientific and operational judgement to translate complex operational needs into robust, scalable laboratory systems that meet regulatory, safety and business requirements. 

The Senior Laboratory Systems Scientist will collaborate with R&D, Software, Bioinformatics, Laboratory Operations, Automation Engineering, and RA/QA to lead cross-functional initiatives including technology transfer, system development, validation strategy, and operational process optimization. This is a full-time position based in Colorado working standard business hours; however, the role will require flexibility to work diverse schedules, including evenings and weekends, and holidays for critical deliverables. This position will report directly to the Senior Manager, Operational Excellence and Process Engineering. 

What you will do

  • Independently assess assay and operational processes to identify gaps and risk signals through the interpretation of complex performance and analytical data and operator feedback.
  • Through proper problem definition and cross-functional stakeholder alignment, build business cases to present to senior leadership detailing scope, requirements, timeline, resourcing, and a project plan.
  • Design, develop, and implement and/or tech transfer programs and robust, scalable processes that enable laboratory operations to meet regulatory, safety and business requirements. 
  • Under the guidance of the Laboratory Director and Senior Director, Laboratory Operations develop performance qualification, validation, and verification plans and execute to protect and scale Foresight's laboratory operations without impact to capacity and clinical testing in alignment with CAP, CLIA, NYSDOH and other regulations. 
  • Collaborate with Software (internal and external vendors) and Automation Engineering to build user requirements and test cases, and support release testing for laboratory non-product software and automation solutions.   
  • Guide development of user requirements, test strategies, and release validation activities for laboratory non-product software and automation systems.
  • Collaborate with Automation Engineering, Bioinformatics, Supply Chain, Quality Assurance, Regulatory Assurance, and Laboratory Operations to define system requirements, functional specifications, and user needs for laboratory system solutions.
  • Create development protocols, study designs, execute complex wet laboratory testing, data review and interpretation, draft reports for performance qualification, validation, and verification activities, and present findings to the Laboratory Director, R&D, RA/QA, and Laboratory Operations leadership to support change management. 
  • Drive operational rollout of new programs, products, and processes supporting tech transfer, training, performance monitoring and issue management through post-launch hypercare. 
  • Evaluate operational outcomes through KPI data generation and monitoring, effectiveness assessments, lessons learned, and take action to develop and implement continuous improvement initiatives. 
  • Serve as a senior subject matter expert for laboratory systems including wet lab workflows, automation platforms, and laboratory software solutions.
  • Translate complex operational needs into robust technical system designs that enable reliable, high-throughput clinical testing.
  • Partner with Automation Engineering to support automation development, maintenance programs, process improvements and knowledge tech transfer to facilitate comprehensive PQ, validation and/or verification plans for automation implementation or return to service.
  • Identify operational process improvements and efficiencies, present to operations leadership quality and efficiency solutions, and collaborate cross functionally to execute on approved solutions to protect and scale laboratory operations. 
  • Develop and implement internal equipment management and maintenance programs to ensure high performance of equipment and instrumentation within Foresight's laboratory supporting research, regulated, and clinical testing. 
  • Author and oversee execution of complex validation protocols, study designs, and qualification plans aligned with CAP, CLIA, NYSDOH, ISO 13485 and other regulatory requirements.
  • Author standard operating procedures (SOPs), process maps, decision trees, and/or training program materials to facilitate successful tech transfer and implementation of laboratory systems into the laboratory testing workflow. 
  • As applicable, maintain proficiency in wet lab processes to operate on the bench when lab staffing, capacity, training, and sample criticality require.

What you will bring

  • Advanced degree in molecular biology, engineering or related discipline. PhD or ASCP/CGMBS preferred, with equivalent industry experience considered. 
  • 8+ years of laboratory experience to include R&D protocol and study designs, clinical laboratory LDT assay and automation development, and high complexity laboratory testing. 
  • Lean Six Sigma Green belt certification preferred
  • Demonstrated experience leading technology transfer, laboratory system development, or process engineering initiatives.
  • Experience designing and executing validation, verification, and performance qualification studies in regulated laboratory environments.
  • Must have hands-on experience with next-generation sequencing (NGS) and DNA/RNA molecular biology. 
  • Proven track record of successful program and process development to include tech transfer and training.
  • Strong understanding of complex molecular biology workflows, quality and regulatory standards (ISO13485/15189, CAP, CLIA, NYSDOH). 
  • Experience authoring study, validation, and/or verification plans, protocols, and reports.
  • Proficiency in experimental design, data analysis, and technical problem solving.  
  • Experience with agile-scrum methodology and project management for laboratory, software, and bioinformatics teams. 
  • Experience in complex problem solving and risk management/mitigation (i.e. identify potential equipment, automation or chemistry failures).
  • Analytical and operational skills with an ability to identify meaningful insights from complex data.
  • Energy, motivation, and flexibility with excellent oral and written communication.
  • Ability to manage multiple projects and tasks concurrently with strong attention to timeline and performance metrics.
  • Demonstrated ability to work in a dynamic fast-paced environment, establish, and meet deadlines.
  • Ability to think critically to overcome hurdles and devise solutions.
  • Collaborative, adaptable, and focused on achieving business and corporate objectives.

What Natera employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom