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Senior Bioinformatics Analyst Jobs (NOW HIRING)

Bruker

Bruker's high-performance scientific instruments and high-value analytical and diagnostic solutions ... This role reports to our Senior Bioinformatician and does not include management of direct reports.

UNAVAILABLE

Bruker's high-performance scientific instruments and high-value analytical and diagnostic solutions ... This role reports to our Senior Bioinformatician and does not include management of direct reports.

Bruker Corporation

Scientist, Bioinformatics

Bruker's high-performance scientific instruments and high-value analytical and diagnostic solutions ... This role reports to our Senior Bioinformatician and does not include management of direct reports.

Bruker

Scientist, Bioinformatics

Saint Louis, MO

Bruker's high-performance scientific instruments and high-value analytical and diagnostic solutions ... This role reports to our Senior Bioinformatician and does not include management of direct reports.

MyOme

Bioinformatics Scientist

Menlo Park, CA

$120K - $150K/yr

This role will report directly to a Senior Bioinformatics Scientist. What You'll Do: * Work with bioinformaticians and engineers to manage, process, analyze and interpret genomic data * Identify and ...

Bruker

Scientist, Bioinformatics

Saint Louis, MO

Bruker's high-performance scientific instruments and high-value analytical and diagnostic solutions ... This role reports to our Senior Bioinformatician and does not include management of direct reports.

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How much do senior bioinformatics analyst jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for senior bioinformatics analyst in the United States is $45.82, according to ZipRecruiter salary data. Most workers in this role earn between $36.06 and $49.04 per hour, depending on experience, location, and employer.

What is the difference between Senior Bioinformatics Analyst vs Bioinformatics Scientist?

AspectSenior Bioinformatics AnalystBioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related field; experience in data analysisMaster's or PhD in Bioinformatics, Computational Biology, or related field; research experience
Work EnvironmentHealthcare, biotech, research institutions; focus on data analysis and reportingResearch labs, academia, biotech; focus on developing new algorithms and models
Employer & Industry UsagePharmaceutical companies, hospitals, biotech firmsResearch institutions, universities, biotech companies

The main difference is that Senior Bioinformatics Analysts typically focus on analyzing and interpreting biological data within healthcare or biotech settings, often requiring practical data analysis skills. Bioinformatics Scientists usually engage in developing new computational methods and conducting research, often holding advanced degrees. Both roles are essential in the bioinformatics field but differ in their focus and responsibilities.

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

To excel as a Senior Bioinformatics Analyst, you need a strong background in biology, computer science, and statistics, typically supported by an advanced degree in bioinformatics or a related field. Expertise in programming languages (such as Python, R, or Perl), experience with next-generation sequencing (NGS) pipelines, and familiarity with databases and bioinformatics tools are crucial. Strong analytical thinking, problem-solving abilities, and effective communication skills set top performers apart in this role. These competencies enable accurate data interpretation, efficient workflow management, and successful collaboration with multidisciplinary research teams.

How does a Senior Bioinformatics Analyst typically collaborate with interdisciplinary teams in a research environment?

As a Senior Bioinformatics Analyst, you will frequently collaborate with biologists, clinicians, statisticians, and software engineers to design experiments, interpret complex biological data, and develop analytical pipelines. Effective communication is essential, as you'll need to translate technical findings into actionable insights for non-technical team members. These collaborations often involve regular meetings, shared project management tools, and joint problem-solving sessions, enabling the team to integrate diverse perspectives and achieve research goals efficiently.

What does a Senior Bioinformatics Analyst do?

A Senior Bioinformatics Analyst designs and implements computational methods to analyze biological data, such as genomic sequences or protein structures. They often collaborate with scientists and researchers to interpret complex datasets, develop software tools, and generate insights that support biological research and discovery. In addition to data analysis, they may also mentor junior analysts, manage projects, and ensure the quality and reproducibility of results. Their role is critical in fields like genomics, drug discovery, and personalized medicine, where large-scale data analysis is essential.
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Senior Bioinformatics Analyst jobs near you
Infographic showing various Senior Bioinformatics Analyst job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $95,308 per year, or $45.8 per hour.

Senior Scientist, Bioinformatics

Kenai Therapeutics

San Diego, CA • On-site

Full-time

Posted 6 days ago

Job description

Kenai Therapeutics is seeking a skilled and versatile computational biologist to join our highly collaborative, multidisciplinary, and dynamic team advancing next-generation allogeneic cell therapies for neurological diseases. As Senior Scientist of Bioinformatics, the ideal candidate will drive computational analysis and pipeline development across CMC and research programs. This candidate brings scientific rigor, deep hands-on expertise in single-cell and multiomics analysis, and a strong foundation in statistics and machine learning to generate actionable insights that inform therapeutic decision-making. This role requires exceptional technical skills, a proven ability to communicate complex findings across scientific disciplines, and a desire to thrive in a small, fast-moving organization where flexibility and initiative are essential.

Key Responsibilities:

  • Design, implement, and maintain scalable, reproducible pipelines for single-cell RNA-seq, spatial transcriptomics, and integrative multiomics data analysis, from raw data through biological interpretation
  • Apply statistical modeling and machine learning approaches to large-scale omics datasets to identify biomarkers, characterize cellular heterogeneity, and aid process development
  • Leverage AI-based tools and platforms to accelerate research workflows, automate analyses, and enhance software development productivity
  • Perform complex data interpretation across modalities (scRNA-seq, genomics, spatial omics, proteomics) and translate findings into actionable insights for programs and leadership
  • Partner closely with manufacturing and research teams to align computational efforts with therapeutic objectives and program priorities
  • Contribute to data infrastructure strategy, supporting robust systems for data storage, integration, traceability, and long-term analytics
  • Communicate results effectively through internal presentations, and cross-functional meetings; distill complex analyses into clear narratives for diverse audiences.

Requirements

  • Ph.D. in bioinformatics, computational biology, genomics, statistics, or a related quantitative discipline with 3–5+ years of relevant industry experience
  • Self-motivated, hardworking, and adaptable
  • Strong foundation in statistics and machine learning, including supervised and unsupervised methods, dimensionality reduction, and model evaluation
  • Deep hands-on experience with single-cell analysis frameworks (e.g., Scanpy, Seurat, scVI) and associated workflows across the full analytical lifecycle
  • Strong proficiency in Python and R for data analysis, visualization, and pipeline development; Javascript experience is a plus
  • Demonstrated experience supporting drug discovery and development programs with computational and bioinformatic analyses
  • Proficiency in utilizing AI and large language model–based tools for research acceleration and software development
  • Excellent written and verbal communication skills, including the ability to present complex technical work to both computational and non-computational audiences
  • Strong team player with a collaborative mindset and a commitment to working in a small, tight-knit, and high-performing team environment

Preferred

  • Background in neuroscience, developmental biology, or related areas of disease biology
  • Experience in cell therapy research, manufacturing analytics, or related cell-based therapeutic modalities
  • Familiarity with spatial transcriptomics platforms (e.g., 10x Visium, Xenium, MERFISH) and integrative multiomics approaches
  • Track record of scientific contributions evidenced by peer-reviewed publications, patents, or conference presentations

Benefits

Kenai Therapeutics is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.