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Bioinformatics Programmer Analyst Jobs (NOW HIRING)

BiomeSense

Senior Bioinformatics Engineer

Chicago, IL · On-site

The Senior Bioinformatics Engineer will help build the MetaBiome platform, contributing to ... data analysis. Responsibilities : • help design, implement, and maintain the robust, auditable ...

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How much do bioinformatics programmer analyst jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for bioinformatics programmer analyst in the United States is $46.48, according to ZipRecruiter salary data. Most workers in this role earn between $36.06 and $56.49 per hour, depending on experience, location, and employer.

What is a Bioinformatics Programmer Analyst?

A Bioinformatics Programmer Analyst is a professional who combines knowledge of biology, computer science, and statistics to manage, analyze, and interpret complex biological data, often using programming and software development skills. They typically work with large datasets such as genomic sequences, gene expression profiles, or proteomics data to derive meaningful insights for research or clinical applications. Their role often involves developing software tools, writing scripts for data analysis, and collaborating with biologists and other scientists to solve research problems. Bioinformatics Programmer Analysts are essential in fields like genomics, pharmaceutical research, and personalized medicine.

What are some common challenges faced by Bioinformatics Programmer Analysts when integrating new data types into existing pipelines?

Bioinformatics Programmer Analysts often encounter challenges such as data heterogeneity, inconsistent formats, and varying quality when integrating new data types into established analysis pipelines. Addressing these issues requires careful data preprocessing, validation, and sometimes developing custom scripts or modules to ensure compatibility. Collaboration with biologists and data scientists is essential to understand the context of the new data and to tailor solutions that maintain the reliability and reproducibility of results. Staying adaptable and up-to-date with evolving bioinformatics tools and standards also helps in overcoming these integration challenges.

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

To thrive as a Bioinformatics Programmer Analyst, you need strong programming skills (such as Python, R, or Perl), a background in biology or bioinformatics, and typically a bachelor's or master's degree in a relevant field. Familiarity with bioinformatics tools, databases (like NCBI, Ensembl), and experience using Linux environments and version control systems (like Git) are essential. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with research teams. These competencies are vital for accurately analyzing biological data and delivering actionable insights in research or clinical settings.

What is the difference between Bioinformatics Programmer Analyst vs Bioinformatics Data Scientist?

AspectBioinformatics Programmer AnalystBioinformatics Data Scientist
Required CredentialsBachelor's in Bioinformatics, Computer Science, or related field; programming skillsBachelor's or Master's in Bioinformatics, Data Science, or related; strong statistical and programming skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, biotech firms, healthcare analytics
Employer & Industry UsageUsed in biotech, pharma, healthcare for data analysis and software development

The Bioinformatics Programmer Analyst primarily focuses on developing software tools and analyzing biological data using programming skills. In contrast, the Bioinformatics Data Scientist emphasizes statistical analysis and data modeling to interpret complex biological datasets. Both roles require strong programming knowledge and are common in biotech and healthcare industries, but their core responsibilities differ in software development versus data analysis.

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Senior Bioinformatics Engineer

Senior Bioinformatics Engineer

BiomeSense

Chicago, IL • On-site

Full-time

Posted 29 days ago

Job description

Job Summary:
BiomeSense is a pioneering life sciences startup focused on harnessing the power of the gut microbiome to revolutionize personalized medicine. The Senior Bioinformatics Engineer will help build the MetaBiome platform, contributing to bioinformatics, data engineering, and product development while designing and maintaining robust infrastructure for microbiome data analysis.
Responsibilities:
• help design, implement, and maintain the robust, auditable backend required for the highest-quality extraction of clean microbiome data from raw shotgun metagenomic sequencing data.
• contribute to the development and maintenance of cloud-based infrastructure, including databases, distributed computing workflows, and REST endpoints, supporting a data platform that organizes microbial sequence data and associated clinical metadata.
• lead the design, execution, and documentation of reproducible computational experiments from concept to conclusion, including experimental design, data preparation, model selection, and evaluation strategies.
• Develop and implement novel analytical methodologies and algorithms informed by experimental findings and validated through rigorous evaluation.
• design, implement, and maintain robust data ingestion interfaces leveraging external APIs and clinical ontologies such as SNOMED, MedDRA, and ICD-10, adhering to software engineering best practices including wireframe design, unit testing, version control, code review, and security and compliance.
Qualifications:
Required:
• B.S. /M.S. /PhD in Computational Biology, Bioinformatics, Computer Science or a related field with 3+ yrs industry experience (biotech start-up ideal)
• Strong proficiency in Python and JavaScript, with experience building scalable, reusable, testable, and maintainable software.
• Proficiency with PostgreSQL or other relational SQL database systems.
• Familiarity with clinical ontologies such as SNOMED, ICD-11, ATC, and LOINC.
• Familiarity with Amazon Web Services and best practices in computer security.
• Proficiency with one or more modern frontend web technologies.
• Excellent communication skills for presenting complex scientific concepts to diverse stakeholders.
• Strong ownership mindset and the ability to execute in fast-moving environments.
• Strong fundamentals in bioinformatics pipelines, QC, and reproducibility.
Preferred:
• Bioinformatician with experience working with NGS data and bioinformatics pipeline verification and knowledge of microbiome-specific challenges (compositional data, variability, confounders).
• Familiarity with longitudinal / repeated-measures biological datasets.
• Experience integrating external ontologies or standardized vocabularies.
• Exposure to cloud infrastructure, workflow orchestration, or containerization.
• Interest in AI/ML applications built on large biological datasets.
Company:
BiomeSense is a developing novel technologies to enable continuous, at-home monitoring of the human microbiome. Founded in 2018, the company is headquartered in Chicago, USA, with a team of 2-10 employees. The company is currently Early Stage.

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