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Bioinformatic Analyst Jobs (NOW HIRING)

We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that is responsible for implementing and aiding in design and analysis software and informatics pipelines ...

Seeking a bioinformatics Analyst with strong spatial transcriptomics, scRNA-seq and Visium HD expertise to analyze single-cell and spatial data, support lab training, and advance lung regeneration ...

Key Duties & Responsibilities Performs data and analysis-related tasks, including but not limited ... As part of the department and the bioinformatics team in particular, assists with the development ...

$77K - $115K/yr

The Bioinformatics Analyst II contributes to scholary output and strengthens the biostatistics aspects of research to improve competitiveness of grants and manuscripts. They may participate in ...

Incumbent will lead bioinformatic analysis of microbial and viral NGS data to generate actionable laboratory and public health results. Representative duties include: • Research, develop, design ...

Bioinformaticist

Miami, FL · On-site

$90K - $120K/yr

SEFSC MMTD conducts bioinformatic studies to analyze complex genomics datasets for multiple taxa to understand population structure and dynamics driven by evolutionary, ecological, and environmental ...

New

Excellent analytical, organizational and time management skills MINIMUM JOB QUALIFICATIONS: The position requires a bachelor's degree, with an MS preferred or a PhD in bioinformatics, computer ...

SEFSC MMTD conducts bioinformatic studies to analyze complex genomics datasets for multiple taxa to understand population structure and dynamics driven by evolutionary, ecological, and environmental ...

New

The successful candidate will work with their Bioinformatic team leader to establish Bioinformatic data analysis solutions for our CellScapeTM platform. The Bioinformatician will furthermore play a ...

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Bioinformatic Analyst information

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$31K

$73.3K

$130K

How much do bioinformatic analyst jobs pay per year?

As of Jul 10, 2026, the average yearly pay for bioinformatic analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 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 not expected to fully replace bioinformatic analysts. Professionals in this field will continue to be essential for interpreting complex biological data, designing experiments, and validating results, often using programming skills and bioinformatics software. AI complements human expertise rather than replacing it entirely.

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 is the average salary for a bioinformatics analyst?

The average salary for a bioinformatics analyst typically ranges from $60,000 to $90,000 per year, depending on experience, education, and location. Professionals with advanced skills in programming, data analysis, and familiarity with tools like R or Python tend to earn higher salaries.

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.

What does a bioinformatics analyst do?

A bioinformatics analyst interprets biological data using computational tools and statistical methods to support research and development in areas like genomics and proteomics. They often work with large datasets, utilize programming languages such as Python or R, and may be involved in data visualization and database management. The role typically requires knowledge of biology, computer science, and relevant software or algorithms.

What biology jobs pay over $100k?

Bioinformatic analysts with advanced skills in data analysis, programming, and genomics can earn over $100,000 annually, especially with experience or in senior roles. Other high-paying biology-related jobs include biostatisticians, biomedical directors, and research scientists working in pharmaceuticals or biotech companies, often requiring advanced degrees and specialized expertise.

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.
More about Bioinformatic Analyst jobs
What cities are hiring for Bioinformatic Analyst jobs? Cities with the most Bioinformatic Analyst job openings:
What states have the most Bioinformatic Analyst jobs? States with the most job openings for Bioinformatic Analyst jobs include:
Infographic showing various Bioinformatic Analyst job openings in the United States as of July 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.
Bioinformatics Analyst - CA

Bioinformatics Analyst - CA

GATC Health

Irvine, CA

$70K - $85K/yr

Full-time

Re-posted 26 days ago


Job description

Company Overview: GATC Health is an innovative TechBio company at the forefront of revolutionizing pharmaceutical discovery and accelerating their development through the integration of artificial intelligence (AI), science and finance. Our company is dedicated to advancing therapeutic discoveries and improving human health by leveraging the power of technology and interdisciplinary collaboration.
 
Position Overview: We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that is responsible for implementing and aiding in design and analysis software and informatics pipelines for primary, secondary, and tertiary analysis of data generated from transcriptional, proteomic, and mult-omic assays. As a Bioinformatics Scientist, you will innovate, develop and implement novel analysis methods for different data types from sparse to large and complex datasets to support the internal development and validation of new pharmaceutical assets and the development of end-user, customer-facing data analysis and visualization for biotech customers and stakeholders. A highly motivated scientist with broad expertise and experience in bioinformatics, computational biology, transcriptomics, proteomics and multi-omics would be an ideal fit for this position.
 
Roles and Responsibilities
  • Prep and Process data through GATC platform based on customer or internal end user requirements.
  • Implement primary and secondary analysis tools for GATC’s assays.
  • Work with cross-disciplinary R&D teams to develop and implement new discovery and risk assessment product applications.
  • Aid in Development and implementation processes and algorithms for multi-modal datasets, scalable to very large numbers of samples.
  • Engage with external collaborators on the evaluation of beta version products and analysis of novel data.
Role Requirements
  • Degree in computational biology, bioinformatics, computer science or similar.
  • Experience analyzing complex multi-omic datasets, including human or single cell data.
  • Experience implementing, and evaluating novel bioinformatics algorithms and pipelines.
  • Experience in programming in scripting (Python or similar) and interpreted languages (R, etc).
  • Demonstrated ability to become proficient in new fields and work with interdisciplinary teams.
  • Excellent verbal/written communication and interpersonal skills with scientist and non-scientists.
Role Preferences
  • Experience using or interfacing with machine learning algorithms.
  • Experience analyzing and interpreting large-scale human or single cell datasets.
  • Experience with professional software development methods and tools in a team environment.
  • Experience in programming in scripting (Python), interpreted (R ) and compiled languages (C++ / Rust / Java).
  • Experience working with collaborators, including lab scientists on multi-omic method development.
  • Experience visualizing scientific datasets and results.
  • Experience using cloud computing environments.
  • Computational biology and bioinformatics innovation.
Why Join Us:
• Opportunity to work at the intersection of technology and science, driving innovation in pharmaceutical discovery.
• Collaborative and inclusive work culture that values diversity, creativity, and continuous learning.
• Competitive compensation package, including salary, benefits, and opportunities for professional development.
• Chance to make a meaningful impact on human health and contribute to groundbreaking research and development projects.
 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.