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Associate Bioinformatician Jobs (NOW HIRING)

Cypress HCM

Associate Director, Bioinformatics

CA · Remote

Associate Director, Bioinformatics Responsibilities: * Collaborate with wet lab R&D scientists to design experimental setups for analytical verification and validation activities * Transition ...

Zymo Research

Bioinformatics Associate I

Irvine, CA · On-site

$75 - $95/hr

As part of the Bioinformatics team, you will leverage your skills and familiarity with NGS-based cutting-edge data science methods in data collection, analysis and statistical modeling for exciting ...

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How much do associate bioinformatician jobs pay per year?

As of Sep 5, 2026, the average yearly pay for associate bioinformatician 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 does an associate bioinformatician do?

An Associate Bioinformatician is a professional who applies computational and statistical techniques to analyze biological data, such as DNA, RNA, or protein sequences. They often work closely with scientists and researchers to interpret large datasets generated from experiments, helping to uncover insights in genomics, transcriptomics, and other 'omics' fields. Their responsibilities may include developing and running bioinformatics pipelines, managing databases, and preparing data visualizations or reports for research projects. Typically, this is an entry- to mid-level role, ideal for those with a strong background in biology, computer science, or related fields.

What are the key skills and qualifications needed to thrive as an associate bioinformatician, and why are they important?

To thrive as an Associate Bioinformatician, you need a solid background in biology, statistics, and computer science, often supported by a degree in bioinformatics or a related field. Familiarity with programming languages such as Python or R, experience with bioinformatics tools (e.g., BLAST, Bowtie), and knowledge of databases like GenBank are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex data clearly make someone stand out in this position. These skills ensure accurate data analysis, effective collaboration with research teams, and meaningful contributions to scientific discoveries.

What are some common challenges faced by an associate bioinformatician when working on interdisciplinary teams?

As an Associate Bioinformatician, one common challenge is effectively communicating complex computational findings to colleagues from diverse backgrounds, such as biologists or clinicians, who may not have extensive coding or data analysis experience. Balancing the need to deliver accurate, reproducible results with project deadlines can also be demanding, especially when handling large datasets or troubleshooting data quality issues. Additionally, adapting to rapidly evolving bioinformatics tools and staying updated on best practices is essential for success in collaborative research environments.

What is the difference between Associate Bioinformatician vs Bioinformatics Analyst?

AspectAssociate BioinformaticianBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldBachelor's or Master's in Bioinformatics, Computer Science, or related field
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch institutions, healthcare, biotech firms
Employer & Industry UsagePharmaceuticals, biotech, academiaHealthcare, research, biotech
Common Search & ComparisonYesYes

The Associate Bioinformatician typically supports data analysis and computational tasks under supervision, focusing on research projects. The Bioinformatics Analyst often performs data interpretation, reporting, and may have more client-facing or project management responsibilities. Both roles require similar educational backgrounds but differ slightly in scope and responsibilities within the bioinformatics field.

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Associate Bioinformatician jobs near you
Infographic showing various Associate Bioinformatician job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $96,169 per year, or $46.2 per hour.

Staff Associate II (Bioinformatician) Columbia University

MS Imaging

Manhattan, NY • On-site

$95 - $130/hr

Other

Posted 4 days ago

Job description

Description

This opportunity to join the Department of Pediatrics at the Vagelos College of Physicians and Surgeons at the rank of Staff Associate II is an exciting one. Columbia University Irving Medical Center is one of the nation’s foremost academic health science centers. The Department of Pediatrics at Columbia University Irving Medical Center is amongst the leading pediatric departments in the New York region and NIH research funding.

Responsibilities

Children’s Health Redox Center (CHRC), NY, USA is seeking a hard-working and enthusiastic Bioinformatician to join a multidisciplinary program focused on multi-omics, particularly lipidomics and redox lipidomics, and mass spectrometry-based spatial biology. Candidates with a background in bioinformatics, image analysis and spatial multimodal data integration, computational vision, systems biology or computational biology are invited to apply. Current research interests of the CHRC include development and application of multiplex omics approaches and advanced data analysis tools that enable mechanistic understanding of pathophysiology of neurological disease and critical illness and discovery of new diagnostic tools and therapies.

Qualifications
  • Master’s degree in bioinformatics, computer science, or systems biology.
  • 2-3 years of experience; PhD degree in related field would substitute for experience.
  • Consistently strong interpersonal skills and the ability to build and sustain effective working relationships with professionals in other disciplines.
  • The ability to create a high-energy results-oriented work environment that encourages colleagues and staff to value each other’s contributions; and must be able to work in a team-oriented environment and demonstrate attention to detail and record-keeping.
  • The ability to share and celebrate success with colleagues and staff.
  • Ability to apply and be proficient in R, C++, Perl/Python, and shell scripting in Linux environment.
  • Experience with machine learning, LLMs and AI approaches.
  • Training in biostatistics, image analysis, machine learning, and/or database management are desirable assets.
  • Prior experience in analyzing single-cell and bulk RNAseq, ATACseq and/or ChIPseq data (and other NGS datasets) is also desirable.
  • Prior experience with computational models for image analysis and multimodal integration is desirable.
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