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Full Time Bioinformatics Engineer Jobs (NOW HIRING)

Kelly Services

Bioinformatics Scientist

Bethesda, MD · On-site +1

Bioinformatics Scientist - NIH - Bethesda, MD Kelly Government Solutions is a strategic supplier ... full-time, project (SOW), seasonal, and surge support opportunities in science, engineering ...

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site

This position is a full-time position located in Research Triangle Park, NC. * Conduct analysis and ... Proficiency in programming languages and tools such as R, Python, MATLAB, Java, and Unix/Linux ...

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site

This position is a full-time position located in Research Triangle Park, NC. * Conduct analysis and ... Proficiency in programming languages and tools such as R, Python, MATLAB, Java, and Unix/Linux ...

AIS, Inc.

Bioinformaticist

Pascagoula, MS · On-site

This is a full-time position. AIS benefits package includes health and dental insurance, vacation ... other programming languages used in data science and bioinformatics. * Proficiency in scripting ...

AIS, Inc.

Bioinformaticist

Beaufort, NC · On-site

This is a full-time position. AIS benefits package includes health and dental insurance, vacation ... other programming languages used in data science and bioinformatics. * Proficiency in scripting ...

AIS, Inc.

Bioinformaticist

Miami, FL · On-site

This is a full-time position. AIS benefits package includes health and dental insurance, vacation ... other programming languages used in data science and bioinformatics. * Proficiency in scripting ...

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Full Time Bioinformatics Engineer information

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How much do full time bioinformatics engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for full time bioinformatics engineer in the United States is $131,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $157,000.00 per year, depending on experience, location, and employer.

How does a Bioinformatics Engineer typically collaborate with interdisciplinary teams in a full-time role?

As a full-time Bioinformatics Engineer, you will frequently work alongside biologists, data scientists, software developers, and clinical researchers. Collaboration often involves interpreting complex biological data, integrating analytical pipelines, and ensuring computational tools meet the needs of both research and clinical teams. Effective communication is key, as you'll translate biological questions into computational workflows and share results with non-technical stakeholders. This interdisciplinary teamwork not only enhances project outcomes but also contributes to your professional growth by exposing you to diverse perspectives and expertise.

What is a Full Time Bioinformatics Engineer?

A Full Time Bioinformatics Engineer is a professional who applies computational techniques and software development to analyze biological data, such as DNA, RNA, and protein sequences. They work with large datasets generated from experiments like genome sequencing to extract meaningful insights and support research in fields like genomics, drug discovery, and personalized medicine. Bioinformatics Engineers often collaborate with biologists, data scientists, and clinicians to develop tools, databases, and algorithms that advance our understanding of biological systems. Their work is essential in bridging the gap between biology and technology, enabling more efficient and accurate biological research.

What is the difference between Full Time Bioinformatics Engineer vs Data Scientist?

AspectFull Time Bioinformatics EngineerData Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldBachelor's or Master's in Data Science, Statistics, Computer Science
Work EnvironmentResearch labs, biotech companies, healthcare institutionsTech companies, finance, healthcare, consulting firms
Industry UsageGenomics, biotech, healthcare researchBusiness analytics, machine learning, predictive modeling

Full Time Bioinformatics Engineers focus on analyzing biological data, often in healthcare and biotech settings, requiring specialized bioinformatics skills. Data Scientists work across various industries, applying statistical and machine learning techniques to diverse datasets. While both roles involve data analysis, Bioinformatics Engineers specialize in biological and genomic data, whereas Data Scientists have a broader scope across different sectors.

What are the key skills and qualifications needed to thrive as a Full Time Bioinformatics Engineer, and why are they important?

To thrive as a Full Time Bioinformatics Engineer, you need a strong background in computational biology, proficiency in programming languages such as Python or R, and a relevant degree in bioinformatics, computer science, or a related field. Experience with bioinformatics tools (e.g., BLAST, GATK), databases, and familiarity with cloud computing platforms or high-throughput sequencing data is typically expected. Strong problem-solving skills, attention to detail, and effective communication abilities help you collaborate with interdisciplinary teams and translate complex data into actionable insights. These skills and qualities are essential for accurately analyzing biological data, supporting research goals, and driving innovation in life sciences.
What cities are hiring for Full Time Bioinformatics Engineer jobs? Cities with the most Full Time Bioinformatics Engineer job openings:
What are the most commonly searched types of Bioinformatics Engineer jobs? The most popular types of Bioinformatics Engineer jobs are:
Full Time Bioinformatics Engineer jobs near you

Senior Scientist, Bioinformatics

BeOne Medicines

San Carlos, CA • On-site

Full-time

Re-posted 19 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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