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Bioinformatic Analyst Jobs in Raleigh, NC (NOW HIRING)

Bioinformatician II

Durham, NC · On-site

$94K - $150K/yr

Be You. Bioinformatician II - Cancer Genomics & Single-Cell Biology The Oliver Lab at Duke ... Experience analyzing high-dimensional genomic data, particularly RNA-seq or single-cell datasets

Bioinformatician II

Durham, NC · On-site

$94K - $150K/yr

Be You. Bioinformatician II - Cancer Genomics & Single-Cell Biology The Oliver Lab at Duke ... Experience analyzing high-dimensional genomic data, particularly RNA-seq or single-cell datasets

Temporary Technology Support Technician

Raleigh, NC · On-site

$32K - $41K/yr

The position will support research by maintaining a local instances of Galaxy and Nextflow, web-based workflow management systems for bioinformatic analyses, oversee XML and Python program ...

Postdoctoral Fellow

Chapel Hill, NC

$41K - $56K/yr

Preferred Qualifications, Competencies, and Experience PhD in Computer Science, Bioinformatics, Computational Biology, or related discipline. Knowledge of Python or R is preferred. Ability to analyze ...

Postdoctoral Fellow

Chapel Hill, NC

$41K - $56K/yr

Preferred Qualifications, Competencies, and Experience PhD in Computer Science, Bioinformatics, Computational Biology, or related discipline. Knowledge of Python or R is preferred. Ability to analyze ...

Postdoctoral Fellow

Chapel Hill, NC

$41K - $56K/yr

Preferred Qualifications, Competencies, and Experience PhD in Computer Science, Bioinformatics, Computational Biology, or related discipline. Knowledge of Python or R is preferred. Ability to analyze ...

Postdoctoral Fellow

Chapel Hill, NC

$41K - $56K/yr

Preferred Qualifications, Competencies, and Experience PhD in Computer Science, Bioinformatics, Computational Biology, or related discipline. Knowledge of Python or R is preferred. Ability to analyze ...

... Bioinformatics etc; Candidates with multidisciplinary backgrounds are welcome. Strong skills in computational and data analytical methodology development and implementation; experience in machine ...

... Mathematics, Bioinformatics etc; Candidates with multidisciplinary backgrounds are welcome. • Strong skills in computational and data analytical methodology development and implementation ...

Be You The Department of Biostatistics and Bioinformatics at Duke University School of Medicine is ... Wenpin Hou and her research team to develop computational models that analyze single-cell multi ...

Be You The Department of Biostatistics and Bioinformatics at Duke University School of Medicine is ... Wenpin Hou and her research team to develop computational models that analyze single-cell multi ...

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Bioinformatic Analyst information

See Raleigh, NC salary details

$30.1K

$71.1K

$126.2K

How much do bioinformatic analyst jobs pay per year?

As of Jun 15, 2026, the average yearly pay for bioinformatic analyst in Raleigh, NC is $71,137.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $84,500.00 per year, depending on experience, location, and employer.

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 bioinformatic analysts. Professionals in this field will continue to interpret complex biological data, develop algorithms, and validate results, often using AI as a complementary skill set. Expertise in programming, statistical analysis, and biological knowledge remains essential for bioinformatic analysts.

What does bioinformatics do?

Bioinformatics involves using computational tools and techniques to analyze biological data, such as genetic sequences and molecular structures. Bioinformatic analysts develop algorithms, manage large datasets, and interpret results to support research in areas like genomics and drug discovery.

What are the key skills and qualifications needed to thrive as a Bioinformatic Analyst, and why are they important?

To thrive as a Bioinformatic Analyst, you need a strong background in biology, statistics, and computer science, often supported by a relevant degree such as bioinformatics, computational biology, or a related field. Proficiency in programming languages like Python or R, experience with next-generation sequencing (NGS) data analysis tools, and familiarity with databases such as GenBank are typically required. Critical thinking, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with interdisciplinary teams. These skills are crucial for extracting meaningful insights from biological data and advancing research or clinical objectives.

What are some common challenges a Bioinformatic Analyst faces when working with large-scale genomic data?

One of the primary challenges for Bioinformatic Analysts is managing and analyzing massive datasets generated by next-generation sequencing technologies. Ensuring data quality, handling data storage, and optimizing computational resources are critical aspects of the role. Analysts must also develop or adapt pipelines to process complex data efficiently and accurately, often collaborating closely with biologists, statisticians, and IT specialists. Staying updated on rapidly evolving tools and best practices is essential to ensure high-quality, reproducible results.

Do bioinformaticians make a lot of money?

Bioinformatic analysts typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions often start around $60,000 annually, with experienced professionals earning over $100,000, especially in biotech or pharmaceutical industries. Skills in programming, data analysis, and familiarity with tools like R or Python can also influence earning potential.

What is a bioinformatics salary?

A bioinformatic analyst's salary varies based on experience, education, and location, but typically ranges from $60,000 to $100,000 annually in many regions. Entry-level positions may start lower, while experienced professionals with advanced skills in programming, data analysis, and bioinformatics tools can earn higher salaries. Certifications and specialized knowledge can also influence compensation.

What does a Bioinformatic Analyst do?

A Bioinformatic Analyst uses computational tools and techniques to analyze biological data, such as DNA, RNA, or protein sequences. They work closely with researchers and scientists to interpret complex datasets, identify patterns, and draw meaningful conclusions that can advance scientific understanding or medical research. Their responsibilities may include processing raw data, developing algorithms, and creating visualizations to present results. Bioinformatic Analysts often work in fields like genomics, pharmaceuticals, and biotechnology.
What are popular job titles related to Bioinformatic Analyst jobs in Raleigh, NC? For Bioinformatic Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Bioinformatic Analyst jobs? Cities near Raleigh, NC with the most Bioinformatic Analyst job openings:
Infographic showing various Bioinformatic Analyst job openings in Raleigh, NC as of June 2026, with employment types broken down into 20% Locum Tenens, and 80% Part Time. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $71,137 per year, or $34.2 per hour.
Bioinformatician, Operational Support

Bioinformatician, Operational Support

NeoGenomics

Durham, NC

Other

Medical, Retirement, PTO

Posted 10 days ago


NeoGenomics rating

8.0

Company rating: 8.0 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

38th of 103 rated laboratories


Job description

Are you motivated to participate in a dynamic, multi-tasking environment? Do you want to join a company that invests in its employees? Are you seeking a position where you can use your skills while continuing to be challenged and learn? Then we encourage you to dive deeper into this opportunity.
We believe in career development and empowering our employees. Not only do we provide career coaches internally, but we offer many training opportunities to expand your knowledge base! We have highly competitive benefits with a variety HMO and PPO options. We have company 401k match along with an Employee Stock Purchase Program. We have tuition reimbursement, leadership development, and even start employees off with 16 days of paid time off plus holidays. We offer wellness courses and have highly engaged employee resource groups. Come join the Neo team and be part of our amazing World Class Culture!
NeoGenomics is looking for a Bioinformatician (Operational Support) who wants to learn to continue to learn in order to allow our company to grow. This is an onsite position to work out of the laboratory in Durham, NC with a Monday - Friday, day shift.
Now that you know what we're looking for in talent, let us tell you why you'd want to work at NeoGenomics:
As an employer, we promise to provide you with a purpose driven mission in which you have the opportunity to save lives by improving patient care through the exceptional work you perform. Together, we will become the world's leading cancer reference laboratory.
Position Summary:
As a Bioinformatician, Operational Support, you provide essential bioinformatics support for wet-lab operations, with a primary focus on the monitoring, maintenance, and troubleshooting of production next-generation sequencing (NGS) pipelines. You will embedded within a CAP-, CLIA-, and NY State-registered clinical laboratory and plays a critical role in ensuring the accuracy, reliability, and regulatory compliance of genomic data workflows.
Responsibilities:
  • Monitor production NGS pipelines on a daily basis to ensure successful execution and data integrity
  • Identify, triage, and resolve pipeline failures, data quality issues, and workflow bottlenecks in a timely manner
  • Collaborate with wet-lab scientists to diagnose sequencing and data processing issues and escalate as needed
  • Track pipeline performance metrics and generate routine status reports for laboratory and quality teams
  • Support onboarding and validation of new sample types, assays, or sequencing instruments into existing pipelines
  • Operate within the quality management framework of a CAP/CLIA/NY State-accredited laboratory
  • Maintain thorough documentation of pipeline activities, changes, and incident reports in accordance with regulatory requirements
  • Assist in the development and review of standard operating procedures (SOPs) related to bioinformatics workflows
  • Participate in internal audits, proficiency testing, and quality review activities as requested
  • Contribute to pipeline development and optimization projects under the guidance of senior bioinformaticians
  • Write and maintain scripts in Python and/or R to automate data processing, QC, and reporting tasks
Education, Experience & Qualifications:
  • Bachelor's or Master's degree in Bioinformatics, Computational Biology, Genomics, Computer Science, or a closely related field - or an equivalent combination of education and relevant professional experience
  • At least 2 years of hands-on experience with NGS data analysis workflows (academic research, internship, or industry); advanced degree may substitute for experience
  • Working proficiency in Python and/or R for data manipulation, scripting, and analysis
  • Familiarity with common NGS file formats (FASTQ, BAM, VCF) and bioinformatics tools (e.g., BWA, GATK, samtools, or equivalent)
  • Strong troubleshooting and problem-solving skills with a systematic, documentation-driven approach
  • Excellent written and verbal communication skills; ability to collaborate effectively with both scientific and non-scientific colleagues
  • Experience working in or supporting a CAP-, CLIA-, and/or NY State-regulated clinical or diagnostic laboratory
  • Familiarity with quality management systems (QMS), SOPs, or laboratory compliance documentation
  • Exposure to workflow management systems such as Nextflow, Snakemake, or WDL/Cromwell
  • Knowledge of clinical genomics applications (oncology, rare disease, pharmacogenomics, etc.)

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