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Bioinformatics Engineering Jobs in Phoenix, AZ (NOW HIRING)

Manager - Bioinformatics

Phoenix, AZ ยท On-site

$150 - $210/hr

The Manager partners closely with laboratory, clinical, software engineering, IT, quality, and ... Manage day-to-day bioinformatics operations and ensure timely delivery of high-quality analytical ...

The Manager partners closely with laboratory, clinical, software engineering, IT, quality, and ... Manage day-to-day bioinformatics operations and ensure timely delivery of high-quality analytical ...

The Manager partners closely with laboratory, clinical, software engineering, IT, quality, and ... Manage day-to-day bioinformatics operations and ensure timely delivery of high-quality analytical ...

Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

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Bioinformatics Engineering information

See Phoenix, AZ salary details

$42.7K

$130.1K

$236.8K

How much do bioinformatics engineering jobs pay per year?

As of Aug 9, 2026, the average yearly pay for bioinformatics engineering in Phoenix, AZ is $130,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,300.00 and $155,900.00 per year, depending on experience, location, and employer.

What is the difference between Bioinformatics Engineering vs Bioinformatics Analyst?

AspectBioinformatics EngineeringBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, healthcare, pharmaceutical companies
Employer & Industry UsageDevelops tools, pipelines, and software for data analysisInterprets data, generates reports, supports research projects

Bioinformatics Engineering focuses on developing software and pipelines for data processing, requiring programming expertise. In contrast, Bioinformatics Analysts primarily interpret data and generate insights, often with a stronger emphasis on biological knowledge. Both roles are vital in biotech and healthcare industries, but they differ in technical scope and daily tasks.

What is a bioinformatics engineer?

A bioinformatics engineer is a professional who develops and applies computational tools and techniques to analyze and interpret biological data, such as DNA sequences or protein structures. They combine expertise in computer science, biology, and mathematics to create software, manage databases, and solve complex biological problems. Bioinformatics engineers often work in research, pharmaceuticals, healthcare, and biotechnology industries to help advance scientific discoveries and medical innovations.

How do bioinformatics engineers typically collaborate with biologists and data scientists in a research setting?

Bioinformatics engineers frequently work in cross-disciplinary teams, partnering closely with biologists to understand experimental goals and with data scientists to analyze complex datasets. Effective communication is key, as engineers must translate biological questions into computational workflows and interpret results in a way that is meaningful to non-technical team members. This collaborative approach not only accelerates research but also helps engineers gain a deeper understanding of biological processes, which can lead to more innovative solutions and professional growth.

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

To thrive as a Bioinformatics Engineer, you need a solid background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and proficiency with databases and cloud computing platforms are typically required. Strong problem-solving, analytical thinking, and collaboration skills set standout professionals apart in this interdisciplinary field. These competencies are crucial for effectively analyzing complex biological data and driving innovation in life sciences research.

What do bioinformatics engineers do?

Bioinformatics engineers develop and implement computational tools and algorithms to analyze biological data, such as genetic sequences and molecular structures. They often work with programming languages like Python or R, utilize databases, and collaborate with biologists to interpret data for research and medical applications.
What are popular job titles related to Bioinformatics Engineering jobs in Phoenix, AZ? For Bioinformatics Engineering jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Engineering jobs in Phoenix, AZ look for? The top searched job categories for Bioinformatics Engineering jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Bioinformatics Engineering jobs? Cities near Phoenix, AZ with the most Bioinformatics Engineering job openings:
Infographic showing various Bioinformatics Engineering job openings in Phoenix, AZ as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $130,124 per year, or $62.6 per hour.

Manager - Bioinformatics

Caris MPI, Inc.

Phoenix, AZ โ€ข On-site

$150 - $210/hr

Other

Posted 4 days ago


Job description

At Caris, we understand that cancer is an ugly wordโ€”a word no one wants to hear, but one that connects us all. Thatโ€™s why weโ€™re not just transforming cancer careโ€”weโ€™re changing lives.We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day: โ€œWhat would I do if this patient were my mom?โ€ That question drives everything we do.But our mission doesnโ€™t stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcareโ€”driven by innovation, compassion, and purpose.Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins.Position SummaryThe Manager, Bioinformatics leads a team of bioinformatics scientists responsible for the development, validation, implementation, and support of next-generation sequencing (NGS) bioinformatics pipelines and analytical workflows within a clinical or translational genomics environment. This role combines technical expertise, project leadership, and people management to ensure delivery of reliable, scalable, and compliant bioinformatics solutions supporting research, assay development, validation activities, and clinical operations. The Manager partners closely with laboratory, clinical, software engineering, IT, quality, and scientific stakeholders to advance genomic testing capabilities and operational excellence.Job ResponsibilitiesLead, coach, mentor, and develop a team of bioinformatics scientists, including hiring support, onboarding, performance management, career development, and workload prioritization.Manage day-to-day bioinformatics operations and ensure timely delivery of high-quality analytical solutions across development, validation, and production activities.Establish project plans, priorities, timelines, and resource allocations for team initiatives and cross-functional programs.Oversee development, optimization, validation, and maintenance of NGS bioinformatics pipelines and workflows.Support end-to-end genomic data analysis, including quality control, alignment, variant calling, annotation, filtering, interpretation support, and reporting workflows.Lead analytical development and validation activities for NGS assays, including performance assessment, reproducibility studies, concordance analysis, quality metrics, and documentation.Drive implementation of scalable, automated, and reproducible computational workflows using software development and bioinformatics best practices.Collaborate with software engineering and IT teams to support cloud-based infrastructure, workflow execution, data storage, monitoring, and system performance.Ensure bioinformatics processes comply with applicable quality, regulatory, documentation, privacy, and security requirements.Partner with laboratory scientists, molecular pathologists, clinical teams, statisticians, and researchers to translate scientific and clinical requirements into analytical solutions.Monitor project progress, identify risks and dependencies, communicate status updates, and facilitate resolution of technical and operational challenges.Investigate and resolve complex pipeline, assay, and data quality issues while supporting production operations as needed.Serve as a technical subject matter expert for bioinformatics workflows, genomic analyses, and assay validation efforts.Stay current on emerging technologies, tools, methodologies, and industry best practices in genomics and bioinformatics.Required QualificationsPhD degree with experience in Bioinformatics, Computational Biology, Biostatistics, Computer Science, Genomics, Molecular Biology, or a related field.Minimum of 5 to 8 years of hands-on bioinformatics experience supporting NGS pipeline development, validation, or production operations.Minimum of 2 to 4 years of people leadership experience.Demonstrated experience managing projects and coordinating cross-functional stakeholders.Strong knowledge of NGS data analysis methods, quality metrics, bioinformatics workflows, and genomic data interpretation.Strong programming and scripting skills using Python, Bash, SQL, R, or equivalent tools.Experience with AWS or other cloud computing platforms supporting genomic data processing and storage.Strong communication, collaboration, organizational, and problem-solving skills.Proficiency in Microsoft Office Suite.Preferred QualificationsExperience supporting both research and clinical bioinformatics environments.Experience with liquid biopsy, MRD, cancer early detection, ctDNA analysis, or related applications.Experience with multi-omic data integration and advanced genomic analyses.Experience working in CLIA, CAP, NYSDOH, FDA, ISO, or comparable regulated environments.Experience preparing validation reports, technical documentation, regulatory support materials, or scientific publications.Physical DemandsMust be able to sit, stand, and work at a computer for extended periods.TrainingAll required training will be assigned based on job responsibilities.OtherMay require occasional travel, after-hours support, and participation in on-call activities.Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check ( applicable for certain positions) and reference verification.This job description reflects managementโ€™s assignment of essential functions. Nothing in this job description restricts managementโ€™s right to assign or reassign duties and responsibilities to this job at any time.Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability. #J-18808-Ljbffr