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Bioinformatics Programmer Analyst Jobs in Baltimore, MD

Through the power of our combined capabilities, we provide deep expertise in Advanced Engineering ... A background or operational experience in bioinformatics is a strong plus. * Interdisciplinary ...

Analytical Chemist

Aberdeen, MD · On-site

$76K - $120K/yr

Through the power of our combined capabilities, we provide deep expertise in Advanced Engineering ... A background or operational experience in bioinformatics is a strong plus. * Interdisciplinary ...

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Bioinformatics Programmer Analyst information

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How much do bioinformatics programmer analyst jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for bioinformatics programmer analyst in Baltimore, MD is $46.18, according to ZipRecruiter salary data. Most workers in this role earn between $35.82 and $56.15 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.

What are popular job titles related to Bioinformatics Programmer Analyst jobs in Baltimore, MD? For Bioinformatics Programmer Analyst jobs in Baltimore, MD, the most frequently searched job titles are:
What cities near Baltimore, MD are hiring for Bioinformatics Programmer Analyst jobs? Cities near Baltimore, MD with the most Bioinformatics Programmer Analyst job openings:

Bioinformatics Engineer (Hybrid)

Quest Diagnostics

Baltimore, MD • On-site

$95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


ExamOne rating

6.6

Company rating: 6.6 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

97th of 120 rated laboratories


Job description


Pay Range: $95,000.00 - $125,000.00 / year
Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. Successful candidates may be eligible to receive annual performance bonus compensation.
Benefits Information:
We are proud to offer best-in-class benefits and programs to support employees and their families in living healthy, happy lives. Our pay and benefit plans have been designed to promote employee health in all respects - physical, financial, and developmental. Depending on whether it is a part-time or full-time position, some of the benefits offered may include:
• Day 1 Medical, supplemental health, dental & vision for FT employees who work 30+ hours
• Best-in-class well-being programs
• Annual, no-cost health assessment program Blueprint for Wellness®
• healthyMINDS mental health program
• Vacation and Health/Flex Time
• 6 Holidays plus 1 "MyDay" off
• FinFit financial coaching and services
• 401(k) pre-tax and/or Roth IRA with company match up to 5% after 12 months of service
• Employee stock purchase plan
• Life and disability insurance, plus buy-up option
• Flexible Spending Accounts
• Annual incentive plans
• Matching gifts program
• Education assistance through MyQuest for Education
• Career advancement opportunities
• and so much more!
About Haystack Oncology
Haystack Oncology, now part of Quest Diagnostics, is a next-generation liquid biopsy company focused on advancing tumor-informed minimal residual disease (MRD) testing. Our proprietary technology enables highly sensitive and specific detection of circulating tumor DNA (ctDNA), improving patient outcomes through earlier detection of residual disease.
As we continue to expand our assay portfolio and bring cutting-edge diagnostics to the public, we are seeking a skilled Bioinformatics Scientist to join our growing team. This role will play a critical part in supporting clinical production testing, clinical trials, and assay R&D for Quest Diagnostics laboratories in the US and Europe.
Role Overview
As a Bioinformatics Scientist, you will develop and maintain cloud-based computational infrastructure for the analysis of genomic data from our proprietary MRD assays. You will work cross-functionally with laboratory, LIMS, and IT teams to ensure seamless integration of bioinformatics workflows with clinical and research operations.
Responsibilities
  • Develop & maintain cloud infrastructure for scalable and efficient genomic data analysis.
  • Implement and optimize Python and Nextflow bioinformatics workflows.
  • Integrate bioinformatics pipelines with Laboratory Information Management Systems (LIMS) to streamline data processing.
  • Ensure compliance with IT security and privacy controls, aligning with Quest Diagnostics' corporate policies.
  • Apply software engineering best practices, contributing to the scalability, robustness, and maintainability of bioinformatics pipelines.
  • Develop and manage databases and applications for quality control (QC) and assay performance monitoring.
  • Document and validate bioinformatics systems in compliance with regulatory and quality standards for clinical diagnostics

Qualifications
Required:
  • Background in software or infrastructure engineering, with experience in bioinformatics.
  • Proficiency in bioinformatics pipeline workflow management, particularly Nextflow (preferred), Cromwell, or CWL.
  • Hands-on experience developing cloud-native infrastructure (AWS preferred) for storage, batch computing, and serverless applications.
  • Expertise in infrastructure as code (IaC) technologies such as Terraform or AWS CDK.
  • Strong programming skills in Python, JavaScript/TypeScript, R, or other relevant scripting languages.
  • Experience with API development and integration, particularly JSON-based RESTful APIs.
  • Deep understanding of version control (Git), CI/CD best practices, and software development lifecycle (SDLC).
  • Ability to work cross-functionally in a multi-disciplinary environment with minimal supervision.
  • Strong problem-solving, analytical, and troubleshooting skills, with the ability to diagnose and resolve technical issues.
  • Excellent verbal and written communication skills in English, with the ability to translate technical concepts for non-technical stakeholders.

Preferred:
  • Experience in a clinical diagnostics or regulated environment (e.g., CLIA, CAP, IVDR, FDA) with knowledge of software validation and regulatory requirements.
  • Understanding of controlled processes, environment management, and quality control systems in a clinical setting.
  • Familiarity with DevOps methodologies.

Education:
  • Bachelor's Degree (Required)
  • Master's Degree (Preferred

About the Team
Quest Diagnostics honors our service members and encourages veterans to apply.
While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume.
Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

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