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Bioinformatics Algorithms Jobs (NOW HIRING)

GATC Health

Bioinformatics Analyst - UT

Salt Lake City, UT · On-site

$80K - $90K/yr

We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that ... Aid in Development and implementation processes and algorithms for multi-modal datasets, scalable ...

GATC Health

Bioinformatics Analyst - CA

Irvine, CA · On-site

$70K - $85K/yr

We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that ... Aid in Development and implementation processes and algorithms for multi-modal datasets, scalable ...

GATC Health

Bioinformatics Analyst - UT

Salt Lake City, UT · On-site

$80K - $90K/yr

We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that ... Aid in Development and implementation processes and algorithms for multi-modal datasets, scalable ...

GATC Health

Bioinformatics Analyst - UT

Salt Lake City, UT · On-site

$80K - $90K/yr

We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that ... Aid in Development and implementation processes and algorithms for multi-modal datasets, scalable ...

GATC Health

Bioinformatics Analyst - CA

Irvine, CA · On-site

$70K - $85K/yr

We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that ... Aid in Development and implementation processes and algorithms for multi-modal datasets, scalable ...

GATC Health

Bioinformatics Analyst - CA

Irvine, CA · On-site

$70K - $85K/yr

We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that ... Aid in Development and implementation processes and algorithms for multi-modal datasets, scalable ...

Arc Bio

Bioinformatics Scientist

Scotts Valley, CA · On-site

Experience developing and implementing novel bioinformatics algorithms and pipelines. * Extensive experience processing, integrating, and visualizing large, multi-omics datasets (WGS, RNA-Seq, etc.

Illumina

Staff Bioinformatics Scientist

Coronado, CA · On-site

Algorithmic challenges in this area include compensating for signal impairments introduced by ... Design, prototype, and implement signal processing and bioinformatics algorithms * Analyze data and ...

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Bioinformatics Algorithms information

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$54.5K

$96.2K

$139K

How much do bioinformatics algorithms jobs pay per year?

As of Sep 11, 2026, the average yearly pay for bioinformatics algorithms in the United States is $96,169.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $109,500.00 per year, depending on experience, location, and employer.

What are bioinformatics algorithms?

Bioinformatics algorithms are computational methods and procedures designed to analyze and interpret biological data, such as DNA sequences, protein structures, and gene expression patterns. These algorithms help solve complex biological problems, including sequence alignment, genome assembly, and identifying genetic variants. They are essential for managing and making sense of the large amounts of data generated in modern biological research. Bioinformatics algorithms enable researchers to draw meaningful conclusions about biology and disease from raw data.

What are the key skills and qualifications needed to thrive as a bioinformatics algorithms specialist, and why are they important?

To thrive as a Bioinformatics Algorithms Specialist, you need a strong background in computer science, mathematics, and biology, typically supported by an advanced degree in bioinformatics, computational biology, or a related field. Proficiency in programming languages like Python, R, or C++, as well as experience with bioinformatics tools, databases, and relevant certifications (such as in data science or machine learning), is essential. Strong analytical thinking, problem-solving ability, and effective communication skills help you interpret complex data and collaborate with interdisciplinary teams. These skills are crucial for developing accurate algorithms that advance biological research and support critical discoveries in genomics and medicine.

What are some common challenges faced by professionals working in bioinformatics algorithms, and how can they be addressed?

Professionals working in bioinformatics algorithms often encounter challenges such as handling large-scale biological datasets, integrating diverse data types, and optimizing computational performance. Managing data quality and ensuring reproducibility of results are also key concerns. To address these, teams often use version control systems, robust data preprocessing pipelines, and collaborate closely with domain experts such as biologists and statisticians. Continuous learning and staying updated with new algorithms and software tools is essential for success in this rapidly evolving field.

What is the difference between Bioinformatics Algorithms vs Bioinformatics Analysts?

AspectBioinformatics AlgorithmsBioinformatics Analysts
Required CredentialsDegree in Bioinformatics, Computer Science, or related field; programming skillsDegree in Biology, Bioinformatics, or related; data analysis skills
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch institutions, healthcare, biotech firms
Employer & Industry UsageDevelop algorithms, software tools, computational methodsInterpret data, generate reports, support research projects

Bioinformatics Algorithms focus on developing computational methods and algorithms to analyze biological data, while Bioinformatics Analysts interpret data results, generate insights, and support research efforts. Both roles are essential in bioinformatics but differ in their primary functions and skill sets.

What other helpful pages are available for Bioinformatics Algorithms?

Other pages related to Bioinformatics Algorithms:

Infographic showing various Bioinformatics Algorithms job openings in the United States as of September 2026, with employment types broken down into 3% Internship, 83% Full Time, 11% Part Time, and 3% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $96,169 per year, or $46.2 per hour.

Bioinformatics Analyst - UT

Salt Lake City, UT • On-site

GATC Health
Biotechnology Research and Development • 1 - 10 employees
Learn more about GATC Healthexternal

$80K - $90K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

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.
$80,000 - $90,000 a year
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.
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