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Bioinformatic Analyst Jobs in Springfield, VA (NOW HIRING)

Opgen

Sr. Biostatistician

Rockville, MD · On-site

$126 - $164/hr

D. in biostatistics, bioinformatics, computational biology, or a comparable scientific degree * In addition to the degree, at least six years of working experience in data analysis or data modeling ...

New

Axle

Data Scientist II

Rockville, MD

Data Science and Bioinformatics Expertise: Strong proficiency in Python and R for analysis, scripting, and visualization. Hands-on experience with at least two omics data types (e.g., bulk RNA-seq ...

Howard University

CZI Post Doctoral Fellow

Washington, DC · On-site

$60K - $70K/yr

Analysis of nucleic acid and protein biophysics, computational biology models, information-theoretic measures of network connectivity, computational bioinformatics models, and neurobiological systems ...

CRDF Global

Biosecurity Expertise

Arlington, VA · On-site

Securing genomic databases, patient data, and bioinformatics pipelines from exfiltration or ... Institutional and national-level analysis of biosafety/biosecurity vulnerabilities. Personnel ...

CRDF Global

Biosecurity Expertise

Arlington, VA · On-site

Bioinformatics and Emerging Biotechnologies * Synthetic biology, gene editing (e.g., CRISPR ... Risk Assessment & Gap Analysis: Institutional and national-level analysis of biosafety/biosecurity ...

The Emmes Company, LLC

Data Scientist

Rockville, MD · On-site

You will work closely with cross-functional teams, including AI data engineers, AI engineers, bioinformatics analysts, software engineers,and product managers,to bring AI-powered solutions to life ...

Emmes

Data Scientist

Rockville, MD · On-site +1

You will work closely with cross-functional teams, including AI data engineers, AI engineers, bioinformatics analysts, software engineers,and product managers,to bring AI-powered solutions to life ...

GDIT

Program Manager

College Park, MD · Hybrid

$176K - $239K/yr

... analysis. * Lead strategic modernization initiatives such as HPC expansion, hybrid cloud ... Experience supporting regulatory science, bioinformatics, genomics, or laboratory computing ...

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All JobsBioinformatic Analyst JobsBioinformatic Analyst Jobs in Springfield, VA

Bioinformatic Analyst information

See Springfield, VA salary details

$32.4K

$76.5K

$135.8K

How much do bioinformatic analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for bioinformatic analyst in Springfield, VA is $76,523.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,800.00 and $90,900.00 per year, depending on experience, location, and employer.

What does a bioinformatic analyst do?

A Bioinformatic Analyst uses computational tools and techniques to analyze biological data, such as DNA, RNA, or protein sequences. They work closely with researchers and scientists to interpret complex datasets, identify patterns, and draw meaningful conclusions that can advance scientific understanding or medical research. Their responsibilities may include processing raw data, developing algorithms, and creating visualizations to present results. Bioinformatic Analysts often work in fields like genomics, pharmaceuticals, and biotechnology.

What are the key skills and qualifications needed to thrive as a bioinformatic analyst?

To thrive as a Bioinformatic Analyst, you need a strong background in biology, statistics, and computer science, often supported by a relevant degree such as bioinformatics, computational biology, or a related field. Proficiency in programming languages like Python or R, experience with next-generation sequencing (NGS) data analysis tools, and familiarity with databases such as GenBank are typically required. Critical thinking, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with interdisciplinary teams. These skills are crucial for extracting meaningful insights from biological data and advancing research or clinical objectives.

What are some common challenges a bioinformatic analyst faces when working with large-scale genomic data?

One of the primary challenges for Bioinformatic Analysts is managing and analyzing massive datasets generated by next-generation sequencing technologies. Ensuring data quality, handling data storage, and optimizing computational resources are critical aspects of the role. Analysts must also develop or adapt pipelines to process complex data efficiently and accurately, often collaborating closely with biologists, statisticians, and IT specialists. Staying updated on rapidly evolving tools and best practices is essential to ensure high-quality, reproducible results.

Is bioinformatic analyst a stressful job?

Bioinformatic analysts often work in research or healthcare settings, analyzing large datasets and developing computational tools, which can involve tight deadlines and complex problem-solving. The level of stress varies depending on workload, project deadlines, and workplace environment, but the role generally requires strong attention to detail and technical skills. Managing workload and staying organized can help reduce stress in this position.

Is bioinformatics well paying?

Bioinformatic analysts typically earn competitive salaries that vary by experience, education, and location. In general, the field offers above-average pay compared to many other entry-level science roles, especially for those with advanced skills in programming, data analysis, and familiarity with tools like R or Python.

What are popular job titles related to Bioinformatic Analyst jobs in Springfield, VA?

For Bioinformatic Analyst jobs in Springfield, VA, the most frequently searched job titles are:

What cities near Springfield, VA are hiring for Bioinformatic Analyst jobs?

Cities near Springfield, VA with the most Bioinformatic Analyst job openings:

Bioinformatic Analyst jobs near you
Infographic showing various Bioinformatic Analyst job openings in Springfield, VA as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 11% Part Time, and 7% Contract. Highlights an 81% Physical, 9% Hybrid, and 10% Remote job distribution, with an average salary of $76,523 per year, or $36.8 per hour.

Data Quality Analyst (Translational Research)

Digital Infuzion

Rockville, MD • Remote

Full-time

Re-posted 8 days ago

Job description

We believe that by equipping researchers with rapid insights and providers with tailored, on-demand data, we can help people lead better, healthier lives. At Digital Infuzion, we harness innovative healthcare solutions and cutting-edge bioinformatics to make meaningful impacts in patient care.
Our team thrives in a creative, open, and growth-oriented environment, guided by our core values:
  • Outcomes First: Focusing on what matters most and making timely, informed decisions.
  • Innovative: Embracing creativity and continuous improvement to drive novel solutions.
  • Radical Candor: Communicating openly and honestly, balancing direct feedback with genuine care.
  • Never Satisfied: Pursuing excellence and continuous growth beyond the status quo.
  • Resilient: Adapting and persevering through challenges, turning obstacles into opportunities.

If you're passionate about leveraging technology to improve healthcare and want to work in an environment that values innovation and collaboration, we may have just the opportunity for you.
Position Summary
The Data Quality Analyst will play a key role in evaluating scientific data submissions across the translational research continuum, ensuring accuracy, completeness, and adherence to established standards. This role requires attention to detail, familiarity with pre-clinical research concepts, and an interest in applying best practices to evolving areas of biomedical research, including influenza and infectious disease.
Working under the guidance of the Data Quality Manager and Scientific Program Manager, the Data Quality Analyst will review submissions for scientific and methodological soundness, support the development of efficient data workflows, and contribute to continuous improvements in data quality processes and models. This position provides an excellent opportunity to build expertise at the intersection of data quality, scientific research, and informatics.
Key Responsibilities
  • Review scientific data submissions for completeness, accuracy, and adherence to defined standards.
  • Evaluate the consistency and scientific relevance of data and flag potential issues for review.
  • Assess methodological details of pre-clinical and translational research submissions under the guidance of senior staff.
  • Support the translation of data workflows into transparent, structured processes that can be adapted for automation and AI-assisted review.
  • Collaborate with scientific staff, informatics teams, and data providers to resolve discrepancies and improve data quality.
  • Assist in monitoring data quality metrics and document trends or recurring issues.
  • Maintain up-to-date knowledge of emerging research methods, data standards, and automation tools to support improvements in data quality practices.
  • Contribute to team documentation and process refinement efforts as part of continuous improvement initiatives.

Required Qualifications
  • Bachelor’s degree in a relevant scientific or data-related discipline (e.g., biomedical sciences, bioinformatics, epidemiology, virology, immunology, or related field).
  • Familiarity with pre-clinical research methods and experimental design.
  • Strong attention to detail with the capacity to identify inconsistencies or gaps in structured scientific data.
  • Ability to follow established data quality workflows and contribute to process documentation.
  • Strong written and verbal communication skills, with the ability to summarize findings clearly.
  • Collaborative mindset, with the willingness to seek guidance and work effectively in a cross-disciplinary team.

Preferred Qualifications
  • Master’s degree in a relevant scientific or data-related field.
  • Understanding of controlled vocabularies, ontologies, and biomedical data standards.
  • Familiarity with database systems, structured data models, or data submission pipelines.
  • Exposure to human-in-the-loop AI processes and automation in data review workflows.
  • Experience with quality control, process improvement, or research data management.

*This is a remote-eligible position

Digital Infuzion does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor per Federal laws.

We can provide reasonable accommodation to applicants with disabilities. If you need a reasonable accommodation for any part of the application and hiring process, please contact Talent Acquisition at careers@digitalinfuzion.com. The decision on granting reasonable accommodation will be made on a case-by-case basis.

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