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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.

Bruker

Scientist, Bioinformatics

Saint Louis, MO · On-site

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

Billerica, MA · On-site

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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Senior Bioinformatics Analyst information

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$82

How much do senior bioinformatics analyst jobs pay per hour?

As of Jul 14, 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 July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $95,308 per year, or $45.8 per hour.

Senior Scientist, Bioinformatics

BeOne Medicines

San Carlos, CA • On-site

Full-time

Re-posted 18 days ago

Job description

Job Summary:
BeOne Medicines is a rapidly growing company focused on fighting cancer, seeking a highly motivated Senior Bioinformatics Scientist to join their Translational Discovery, Research, and Medicine team. The successful candidate will enhance bioinformatics capabilities to support clinical biomarker analysis and translational research, leveraging extensive technical expertise in clinical biomarker data analysis and interpretation.
Responsibilities:
• Serve as the lead bioinformatics scientist of the internal drug discovery and development programs, providing comprehensive support for new target exploration and validation, Omics-related experiment design and analysis, clinical biomarker testing platform and vendor selection, and clinical biomarker analysis with interpretation.
• Design, develop, and deploy robust bioinformatics workflows and interactive tools to analyze high-dimensional Omics data, with an emphasis on bulk and single-cell transcriptomes, whole-exome sequencing (WES), and proteomes data.
• Collaborate with the IT team to build and maintain the bioinformatics computing and analysis infrastructure.
• Mine proprietary and public biological and biomedical data to generate novel hypotheses or insights, and propose the follow-up validation plans.
• Work closely with research scientists and the global biomarker and translational research team, adhering to sound scientific practices and maintaining effective documentation of activities and analyses.
• Present analytical results in a clear and concise manner, utilizing well-designed presentation materials.
Qualifications:
Required:
• Ph.D. in Bioinformatics, Computational Biology, or other related fields with at least 2 years of relevant industry experience.
• Extensive technical expertise in clinical biomarker data analysis and interpretation.
• Strong biological background in Oncology and Immunology.
• Excellent communication skills to facilitate international and cross-functional collaboration.
• Proficient in programming and scripting with R, along with the expertise in at least one other programming language (e.g., Python, Perl, Java).
• Skilled in working with Linux systems and server/cloud computing environments.
• Extensive experience in analyzing high-throughput biomedical data (e.g., RNASeq, scRNAseq, WES, spatial gene expression profiling, or human genetics): including data cleaning, functional annotation, normalization, interpretation, and visualization.
• Familiarity with tools for reproducible research such as Git, Conda, Snakemake, or Nextflow.
• Proven expertise in clinical biomarker analysis, with a particular focus on Omics biomarker data for hematology, oncology and immunology-related drug discovery and development.
• Comprehensive understanding or demonstrated strong interest in drug discovery and development, oncology, immunology, or other disease areas.
• Solid background in statistics and mathematics.
• Strategic thinker, self-motivated, and adept at working collaboratively within an international and dynamic environment.
• Quick learner, enthusiastic about taking on new challenges.
• Excellent communication, project management, and leadership skills.
• Proficient in English speaking and writing; fluent in Mandarin.
• US citizenship or green card required.
Preferred:
• Experience in hematology research and projects is a plus.
• Experience with machine learning/AI is a plus.
• Full-time position based in the San Carlos, CA office preferred.
• Flexible working hours to facilitate international collaborations.
Company:
BeOne Medicines is a global oncology company that is discovering and developing innovative treatments for cancer patients worldwide. Founded in 2010, the company is headquartered in Klein-basel, CHE, with a team of 10001+ employees. The company is currently Late Stage.

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