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Temporary Bioinformatics Software Engineer Jobs in Seattle, WA

Amazon

Software Development Manager, Life Sciences

Seattle, WA · On-site

$140K - $185K/yr

... developer productivity compounds over time. Experience in life sciences or bioinformatics is a plus ... the full software/hardware/networks development life cycle, including coding standards, code ...

Aquent

Software Development Engineer 4

Redmond, WA · On-site +1

$75 - $80/hr

Temporary Salary: $75-80 Hourly $70/hr - $75/hr Start Date: Aug 10, 2026 Are you ready to make a ... About the Role We are seeking a seasoned Software Development Engineer to design, develop, test ...

Jobtailor

Software Engineering Manager

Everett, WA · On-site

$140 - $210/hr

Lead and develop a software engineering team responsible for the software development life cycle ... At least one year of experience in a leadership role (team leader, temp manager, large scale cross ...

New

Aquent

Software Development Engineer

Redmond, WA · On-site

$60 - $62/hr

Temporary Salary: $60-62 Hourly up to $62/hr Start Date: Jul 13, 2026 Join a leading technology ... Bachelor's degree in computer science, software engineering, or a relevant technical field. * 5-7 ...

TekWissen LLC

Software Dev Engineer II

Bellevue, WA · On-site

$110K - $150K/yr

Position: Software Dev Engineer II Location: Bellevue, WA 98004 Duration: 11 Months Job Type ... with temporary resources to make sure the business operations team is not impacted. Surrounding ...

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Showing results 21-40

All JobsBioinformatics Software Engineer JobsTemporary Bioinformatics Software Engineer JobsTemporary Bioinformatics Software Engineer Jobs in Seattle, WA

Temporary Bioinformatics Software Engineer information

See Seattle, WA salary details

$48.9K

$149.1K

$271.4K

How much do temporary bioinformatics software engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for temporary bioinformatics software engineer in Seattle, WA is $149,142.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $178,700.00 per year, depending on experience, location, and employer.

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 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.

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 Seattle, WA? The most popular types of Bioinformatics Software Engineer jobs in Seattle, WA are:
Temporary Bioinformatics Software Engineer jobs near you
Infographic showing various Temporary Bioinformatics Software Engineer job openings in Seattle, WA as of July 2026, with employment types broken down into 14% Locum Tenens, 3% As Needed, 60% Full Time, 10% Part Time, 2% Contract, and 11% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $149,142 per year, or $71.7 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Federal Way, WA • Remote

$90 - $120/hr

Part-time

Posted 11 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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