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Assistant Bioinformatics Computational Biology Jobs

Attaineo Search, Inc.

Possess extensive knowledge in computational biology or bioinformatics, mathematics, and computer programming. Capability to work independently on complex and challenging projects. Proficiency in and ...

Neptune Bio

Computational Biologist

Manhattan, NY

Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field, OR equivalent experience (e.g., BS/MS with ≥3 years of relevant experience). * Proficiency in ...

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How much do assistant bioinformatics computational biology jobs pay per year?

As of May 28, 2026, the average yearly pay for assistant bioinformatics computational biology in the United States is $48,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $55,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Assistant in Bioinformatics and Computational Biology, and why are they important?

To thrive as an Assistant in Bioinformatics and Computational Biology, you need a solid background in biology, statistics, and computer science, often backed by a relevant degree such as bioinformatics, computational biology, or a related field. Familiarity with programming languages (like Python, R, or Perl), databases, and bioinformatics tools (such as BLAST, Galaxy, or Bioconductor) is typically required. Strong analytical thinking, attention to detail, and effective teamwork skills help you interpret complex data and collaborate on multidisciplinary projects. These skills are essential for accurately analyzing biological data, developing computational solutions, and advancing scientific research.

What are some common challenges faced by Assistant Bioinformatics Computational Biology professionals, and how can they be addressed?

Assistant Bioinformatics Computational Biology professionals often encounter challenges such as managing large, complex datasets and keeping up with rapidly evolving analytical tools. Collaborating effectively with interdisciplinary teams—including biologists, clinicians, and software engineers—can also be demanding, as it requires clear communication and an understanding of varied perspectives. To address these challenges, it's helpful to develop strong programming and data management skills, stay updated on current bioinformatics methods, and actively participate in team meetings to ensure alignment on project goals.

What are Assistant Bioinformatics Computational Biology professionals?

Assistant Bioinformatics Computational Biology professionals support research in biology by applying computational techniques to analyze and interpret biological data. They often assist in managing large datasets, developing and running software tools, and collaborating with researchers to solve biological problems. Their work is crucial in fields like genomics, proteomics, and drug discovery, where data analysis is essential. Typically, they have a background in biology, computer science, or a related field and work under the supervision of senior scientists.
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What are the most commonly searched types of Bioinformatics Computational Biology jobs? The most popular types of Bioinformatics Computational Biology jobs are:
What states have the most Assistant Bioinformatics Computational Biology jobs? States with the most job openings for Assistant Bioinformatics Computational Biology jobs include:
Assistant Bioinformatics Computational Biology jobs near you

Computational Biology/Bioinformatician

Attaineo Search, Inc.

Full-time

Posted 10 days ago

Job description

Computational Biologist/Bioinformatician

Position: Computational Biologist/Bioinformatician Location: Baltimore, Maryland (Remote) We are actively seeking a Computational Biologist/Bioinformatician to augment our R&D team. Our focus is on innovating advanced molecular diagnostics kits, devices, and methodologies for the analysis of biological data, reporting directly to the VP of Technology Development. Key Responsibilities: Pioneering the development of innovative software tools, algorithms, and analysis pipelines to expedite the transition from concept to practical testing. Leading the in-silico design and characterization of new molecular assays for infectious diseases, leveraging qPCR and related technologies. Supervising the conversion of extensive biological customer data into actionable insights through data mining, advanced visualizations, and machine learning. Assisting the R&D team in creating scripts for efficient calculations and project management. Directing the company's overarching initiatives in the digitization of biology. Requirements Hold a Master's or Ph.D. degree with a minimum of 3 years of relevant work experience. Possess extensive knowledge in computational biology or bioinformatics, mathematics, and computer programming. Capability to work independently on complex and challenging projects. Proficiency in and a passion for data visualization and effective communication of data science findings. Demonstrable experience with data science toolkits, machine learning, statistical modeling, and tool development. Solid understanding of developing ML and statistical models for real-world applications. Strong programming skills in Python and/or R; familiarity with Rust is a plus. Experience with Linux High Performance Computing (HPC) cluster is advantageous.

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