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Temporary Bioinformatics Software Engineer Jobs in Raleigh, NC

Ask IT consulting

Jr. software Developer

Raleigh, NC

$65K - $84K/yr

This is a temp to hire position for a beginner programmer. Complete Description: Structural Pest ... Ability to learn new software systems and programming languages by studying available references.

Ask IT consulting

Jr. Software Developer

Raleigh, NC

$65K - $84K/yr

This is a temp to hire position for a beginner programmer. Complete Description: Structural Pest ... Ability to learn new software systems and programming languages by studying available references.

Labcorp

Lead Software Development Engineer

Durham, NC · On-site

$120K - $160K/yr

Labcorp is seeking a Lead Software Development Engineer to join our Corporate IT application ... Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees ...

Labcorp

Lead Software Development Engineer

Durham, NC · Hybrid

$120K - $160K/yr

Labcorp is seeking a Lead Software Development Engineer to join our Corporate IT application ... Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees ...

Labcorp

Software Application Architect

Durham, NC · On-site

Mentor and train developers, helping them navigate technical challenges and grow their skills ... Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees ...

Labcorp

Software Application Architect

Durham, NC · Hybrid

Mentor and train developers, helping them navigate technical challenges and grow their skills ... Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees ...

NCSU

Temporary IT Analyst / Programmer II

Raleigh, NC · On-site

$30 - $39/hr

... Temporary Essential Job Duties The IT Analyst/Programmer II will develop, test, and implement ... The successful candidate will design custom software to incorporate sensors into IoT systems and ...

Labcorp

Senior Java Engineer

Durham, NC

$110K - $150K/yr

... Technical Lead, or Software Engineer leading enterprisewide initiatives. * 5 or more years of ... Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees ...

Labcorp

Senior Java Engineer

Durham, NC · On-site

$110K - $150K/yr

... Software Engineer leading enterprise-wide initiatives. * 5 or more years of experience with SOAP ... Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees ...

NCSU

Full Stack Developer (Machado)

Raleigh, NC

... Type Temporary Essential Job Duties A Full Stack Computer science developer needed for developing and implementing frontend and backend software applications. Candidate will be able to contribute ...

UNC-Chapel Hill

Post-Doc Trainee

Chapel Hill, NC · On-site

$16.50 - $19.75/hr

It is unique as an environmental science and engineering program housed in a school of public ... bioinformatics, geography, or epidemiology for an NIEHS funded T32 postdoctoral fellowship in ...

UNC-Chapel Hill

Post-Doc Trainee

Chapel Hill, NC

$16.50 - $19.75/hr

It is unique as an environmental science and engineering program housed in a school of public ... bioinformatics, geography, or epidemiology for an NIEHS funded T32 postdoctoral fellowship in ...

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All JobsBioinformatics Software Engineer JobsTemporary Bioinformatics Software Engineer JobsTemporary Bioinformatics Software Engineer Jobs in Raleigh, NC

Temporary Bioinformatics Software Engineer information

See Raleigh, NC salary details

$41.8K

$127.4K

$231.8K

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

As of Jul 13, 2026, the average yearly pay for temporary bioinformatics software engineer in Raleigh, NC is $127,394.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,300.00 and $152,600.00 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 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 Raleigh, NC? The most popular types of Bioinformatics Software Engineer jobs in Raleigh, NC are:
What are popular job titles related to Temporary Bioinformatics Software Engineer jobs in Raleigh, NC? For Temporary Bioinformatics Software Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Temporary Bioinformatics Software Engineer jobs in Raleigh, NC look for? The top searched job categories for Temporary Bioinformatics Software Engineer jobs in Raleigh, NC are:
Temporary Bioinformatics Software Engineer jobs near you
Staff Data Engineer - (Durham NC or Menlo Park, CA) - #4571

Staff Data Engineer - (Durham NC or Menlo Park, CA) - #4571

GRAIL

Durham, NC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care.

We are a healthcare company, pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine’s greatest challenges.

GRAIL is headquartered in the bay area of California, with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies.

For more information, please visit grail.com

GRAIL’s Research department is seeking a Staff Data Engineer to lead the design, development, and evolution of data systems that power GRAIL’s product pipeline, from sample collection through processing, analysis, and regulatory submission. This role operates at the intersection of computational science, engineering, and clinical research, enabling high-impact decision-making across the organization.

The Staff Data Engineer is a technical leader who partners with scientists, statisticians, and engineering teams to shape system architecture and deliver robust, analysis-ready datasets. This individual operates with a high degree of autonomy, tackling complex and ambiguous challenges, and influencing cross-functional teams to align on data standards, best practices, and long-term solutions.

They will develop deep expertise in GRAIL’s end-to-end data lifecycle, including EDC, LIMS, Bioinformatics Pipelines, and TidyData, an internally-developed system that aggregates and serves combined datasets. They will lead efforts to improve interoperability, scalability, and data quality across these systems.

The Staff Data Engineer will also collaborate with software engineers and scientists to develop dataset requirements, develop code and procedures to support dataset generation, perform QC, and troubleshoot issues that arise. As needed, the Staff Data Engineer will also contribute to new reporting, data visualization, and statistical analysis features.

Impact & Scope

  • Own and drive large, complex data initiatives that impact multiple teams and stages of the product pipeline

  • Define and evolve data architecture, standards, and best practices across systems

  • Influence technical direction and strategy for data engineering within Research and partner organizations

  • Act as a subject matter expert and technical leader, guiding others and elevating team capabilities

  • Solve ambiguous, high-impact problems requiring deep technical judgment and cross-domain understanding

This is a hybrid role based in either Menlo Park, CA (moving to Sunnyvale, CA in Fall 2026) or Durham, NC. Our current flexible work arrangement policy requires that a minimum of 60%, or 24 hours, of your total work week be on-site. Your specific schedule, determined in collaboration with your manager, will align with team and business needs and could exceed the 60% requirement for the site.
Responsibilities

  • Collaborate with data scientists, biostatisticians, and clinical teams to deliver data solutions and sample selections that support clinical trial and research analysis goals

  • Translate complex scientific and analytical requirements into robust, reusable data solutions

  • Contribute to data quality frameworks, including standards for validation, reconciliation, and observability across datasets

  • Drive self-service data platform strategy, implementation and tooling, adoption through training and documentation

  • Lead efforts to standardize and improve dataset generation, QC, and reporting workflows

  • Evaluate and introduce new technologies, methodologies, and best practices to improve data management in a regulated biotechnology environment

  • Mentor other engineers and contribute to technical leadership, standards, and best practices across the organization

  • These responsibilities summarize the role’s primary responsibilities and are not an exhaustive list. They may change at the company’s discretion

These responsibilities summarize the role’s primary responsibilities and are not an exhaustive list. They may change at the company’s discretion
Required Qualifications

  • BS with 8+ years, MS with 5+ years, or PhD with 3+ years of experience in a computational or scientific field (life science, computer science, engineering, mathematics, statistics, bioinformatics, etc.)

  • Advanced proficiency in Python or R, with strong software engineering fundamentals

  • Demonstrated experience designing end-to-end data systems and architectures — from ingestion and transformation to orchestration and visualization

  • Deep understanding of data modeling, pipelines, orchestration, and data quality practices

  • Proven ability to lead complex, cross-functional projects with significant business or scientific impact

  • Strong communication skills, with the ability to influence technical and non-technical stakeholders

  • Experience operating with high autonomy in ambiguous problem spaces

 
Preferred Qualifications

  • Experience with distributed systems or system-level programming (Go, Java, C++)

  • Familiarity with bioinformatics, clinical data systems, or molecular biology concepts

  • Experience with cloud platforms (AWS) and modern data infrastructure

  • Experience driving technical strategy, standards, or platform adoption

  • Intermediate experience with AI-assisted development workflows

  • Strong SQL and data warehousing expertise

Expected full time annual base pay scale for this position is $190-237k in Menlo Park, CA and $165k-206K in Durham NC. Actual base pay will consider skills, experience and location.

This role may be eligible for other forms of compensation, including an annual bonus and/or incentives, subject to the terms of the applicable plans and Company discretion. This range reflects a good-faith estimate of the range that the Company reasonably expects to pay for the position upon hire; the actual compensation offered may vary depending on factors such as the candidate’s qualifications. Employees in this role are also eligible for GRAIL’s comprehensive and competitive benefits package, offered in accordance with our applicable plans and policies. This package currently includes flexible time-off or vacation; a 401(k) retirement plan with employer match; medical, dental, and vision coverage; and carefully selected mindfulness programs.

GRAIL is an equal employment opportunity employer, and we are committed to building a workplace where every individual can thrive, contribute, and grow. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, disability, status as a protected veteran, , or any other class or characteristic protected by applicable federal, state, and local laws. Additionally, GRAIL will consider for employment qualified applicants with arrest and conviction records in a manner consistent with applicable law and provide reasonable accommodations to qualified individuals with disabilities. Please contact us at rc@grailbio.com if you require an accommodation to apply for an open position.

GRAIL maintains a drug-free workplace. We welcome job-seekers from all backgrounds to join us!