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Full Time Bioinformatics Engineer Jobs (NOW HIRING)

Position: Bioinformatics Scientist (Full-time) Location: Hayward, CA Salary: $149,000/year ... This position requires Master's degree or foreign equivalent in Biology, Biomedical Engineering ...

Bioinformatics Scientist

Winter Park, FL · On-site

$170K - $190K/yr

San Francisco, CA Job Type: Full-time ( Hybrid ) Equity: Highly Competitive Equity About Our Client ... Is curious about the intersection of biology, algorithms, and software engineering. * Gets excited ...

Bioinformatics Scientist

Winter Park, FL · On-site

$170K - $190K/yr

San Francisco, CA Job Type: Full-time ( Hybrid ) Equity: Highly Competitive Equity About Our Client ... Is curious about the intersection of biology, algorithms, and software engineering. * Gets excited ...

South San Francisco, CA Job Type: Full-time ( Hybrid ) Equity: Highly Competitive Equity About Our ... Is curious about the intersection of biology, algorithms, and software engineering. * Gets excited ...

Bioinformatics Scientist

Boston, MA · On-site

$170K - $190K/yr

South San Francisco, CA Job Type: Full-time ( Hybrid ) Equity: Highly Competitive Equity About Our ... Is curious about the intersection of biology, algorithms, and software engineering. * Gets excited ...

Bioinformatics Scientist

Boston, MA · On-site

$170K - $190K/yr

South San Francisco, CA Job Type: Full-time ( Hybrid ) Equity: Highly Competitive Equity About Our ... Is curious about the intersection of biology, algorithms, and software engineering. * Gets excited ...

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Full Time Bioinformatics Engineer information

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$43K

$131.1K

$238.5K

How much do full time bioinformatics engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for full time bioinformatics engineer in the United States is $131,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $157,000.00 per year, depending on experience, location, and employer.

How does a full time bioinformatics engineer typically collaborate with interdisciplinary teams?

As a full-time Bioinformatics Engineer, you will frequently work alongside biologists, data scientists, software developers, and clinical researchers. Collaboration often involves interpreting complex biological data, integrating analytical pipelines, and ensuring computational tools meet the needs of both research and clinical teams. Effective communication is key, as you'll translate biological questions into computational workflows and share results with non-technical stakeholders. This interdisciplinary teamwork not only enhances project outcomes but also contributes to your professional growth by exposing you to diverse perspectives and expertise.

What is a full time bioinformatics engineer?

A Full Time Bioinformatics Engineer is a professional who applies computational techniques and software development to analyze biological data, such as DNA, RNA, and protein sequences. They work with large datasets generated from experiments like genome sequencing to extract meaningful insights and support research in fields like genomics, drug discovery, and personalized medicine. Bioinformatics Engineers often collaborate with biologists, data scientists, and clinicians to develop tools, databases, and algorithms that advance our understanding of biological systems. Their work is essential in bridging the gap between biology and technology, enabling more efficient and accurate biological research.

What is the difference between Full Time Bioinformatics Engineer vs Data Scientist?

AspectFull Time Bioinformatics EngineerData Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldBachelor's or Master's in Data Science, Statistics, Computer Science
Work EnvironmentResearch labs, biotech companies, healthcare institutionsTech companies, finance, healthcare, consulting firms
Industry UsageGenomics, biotech, healthcare researchBusiness analytics, machine learning, predictive modeling

Full Time Bioinformatics Engineers focus on analyzing biological data, often in healthcare and biotech settings, requiring specialized bioinformatics skills. Data Scientists work across various industries, applying statistical and machine learning techniques to diverse datasets. While both roles involve data analysis, Bioinformatics Engineers specialize in biological and genomic data, whereas Data Scientists have a broader scope across different sectors.

What are the key skills and qualifications needed to thrive as a full time bioinformatics engineer?

To thrive as a Full Time Bioinformatics Engineer, you need a strong background in computational biology, proficiency in programming languages such as Python or R, and a relevant degree in bioinformatics, computer science, or a related field. Experience with bioinformatics tools (e.g., BLAST, GATK), databases, and familiarity with cloud computing platforms or high-throughput sequencing data is typically expected. Strong problem-solving skills, attention to detail, and effective communication abilities help you collaborate with interdisciplinary teams and translate complex data into actionable insights. These skills and qualities are essential for accurately analyzing biological data, supporting research goals, and driving innovation in life sciences.
What cities are hiring for Full Time Bioinformatics Engineer jobs? Cities with the most Full Time Bioinformatics Engineer job openings:
What are the most commonly searched types of Bioinformatics Engineer jobs? The most popular types of Bioinformatics Engineer jobs are:

Bioinformatics Engineer (Hybrid)

Quest Diagnostics

Baltimore, MD • On-site

$95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


ExamOne rating

6.6

Company rating: 6.6 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

97th of 120 rated laboratories


Job description


Pay Range: $95,000.00 - $125,000.00 / year
Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. Successful candidates may be eligible to receive annual performance bonus compensation.
Benefits Information:
We are proud to offer best-in-class benefits and programs to support employees and their families in living healthy, happy lives. Our pay and benefit plans have been designed to promote employee health in all respects - physical, financial, and developmental. Depending on whether it is a part-time or full-time position, some of the benefits offered may include:
• Day 1 Medical, supplemental health, dental & vision for FT employees who work 30+ hours
• Best-in-class well-being programs
• Annual, no-cost health assessment program Blueprint for Wellness®
• healthyMINDS mental health program
• Vacation and Health/Flex Time
• 6 Holidays plus 1 "MyDay" off
• FinFit financial coaching and services
• 401(k) pre-tax and/or Roth IRA with company match up to 5% after 12 months of service
• Employee stock purchase plan
• Life and disability insurance, plus buy-up option
• Flexible Spending Accounts
• Annual incentive plans
• Matching gifts program
• Education assistance through MyQuest for Education
• Career advancement opportunities
• and so much more!
About Haystack Oncology
Haystack Oncology, now part of Quest Diagnostics, is a next-generation liquid biopsy company focused on advancing tumor-informed minimal residual disease (MRD) testing. Our proprietary technology enables highly sensitive and specific detection of circulating tumor DNA (ctDNA), improving patient outcomes through earlier detection of residual disease.
As we continue to expand our assay portfolio and bring cutting-edge diagnostics to the public, we are seeking a skilled Bioinformatics Scientist to join our growing team. This role will play a critical part in supporting clinical production testing, clinical trials, and assay R&D for Quest Diagnostics laboratories in the US and Europe.
Role Overview
As a Bioinformatics Scientist, you will develop and maintain cloud-based computational infrastructure for the analysis of genomic data from our proprietary MRD assays. You will work cross-functionally with laboratory, LIMS, and IT teams to ensure seamless integration of bioinformatics workflows with clinical and research operations.
Responsibilities
  • Develop & maintain cloud infrastructure for scalable and efficient genomic data analysis.
  • Implement and optimize Python and Nextflow bioinformatics workflows.
  • Integrate bioinformatics pipelines with Laboratory Information Management Systems (LIMS) to streamline data processing.
  • Ensure compliance with IT security and privacy controls, aligning with Quest Diagnostics' corporate policies.
  • Apply software engineering best practices, contributing to the scalability, robustness, and maintainability of bioinformatics pipelines.
  • Develop and manage databases and applications for quality control (QC) and assay performance monitoring.
  • Document and validate bioinformatics systems in compliance with regulatory and quality standards for clinical diagnostics

Qualifications
Required:
  • Background in software or infrastructure engineering, with experience in bioinformatics.
  • Proficiency in bioinformatics pipeline workflow management, particularly Nextflow (preferred), Cromwell, or CWL.
  • Hands-on experience developing cloud-native infrastructure (AWS preferred) for storage, batch computing, and serverless applications.
  • Expertise in infrastructure as code (IaC) technologies such as Terraform or AWS CDK.
  • Strong programming skills in Python, JavaScript/TypeScript, R, or other relevant scripting languages.
  • Experience with API development and integration, particularly JSON-based RESTful APIs.
  • Deep understanding of version control (Git), CI/CD best practices, and software development lifecycle (SDLC).
  • Ability to work cross-functionally in a multi-disciplinary environment with minimal supervision.
  • Strong problem-solving, analytical, and troubleshooting skills, with the ability to diagnose and resolve technical issues.
  • Excellent verbal and written communication skills in English, with the ability to translate technical concepts for non-technical stakeholders.

Preferred:
  • Experience in a clinical diagnostics or regulated environment (e.g., CLIA, CAP, IVDR, FDA) with knowledge of software validation and regulatory requirements.
  • Understanding of controlled processes, environment management, and quality control systems in a clinical setting.
  • Familiarity with DevOps methodologies.

Education:
  • Bachelor's Degree (Required)
  • Master's Degree (Preferred

About the Team
Quest Diagnostics honors our service members and encourages veterans to apply.
While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume.
Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

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