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Bioinformatics Jobs in Reston, VA (NOW HIRING)

Ariadne

NCBI Software Developer (C++, Python)

Bethesda, MD · On-site +1

$52.25 - $70.50/hr

Overview Ariadne is searching for a Software Developer in Bioinformatics and Big Data to support our work at the National Institutes of Health. This opportunity is full time and onsite at the NIH in ...

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site +1

$110K - $115K/yr

In this role, you will provide computational, data science, and bioinformatics support for Office of Research Innovation, Validation, and Applications (ORIVA) research validation and application ...

BCC-NIH

Software Developer (C++, Python)

Bethesda, MD · On-site

Overview Black Canyon Consulting (BCC) is searching for a Software Developer in Bioinformatics and Big Data to support our work at the National Institutes of Health. This opportunity is full time and ...

BCC-NIH

Software Developer (C++, Python)

Bethesda, MD · On-site +1

Overview Black Canyon Consulting (BCC) is searching for a Software Developer in Bioinformatics and Big Data to support our work at the National Institutes of Health. This opportunity is full time and ...

Ariadne

NCBI Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

Alternatively, equivalent industry experiencein bioinformatics or a related field Required Skills: * Experience running operations in a large and complex environment, preferably in data operations

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Bioinformatics information

See Reston, VA salary details

$61.9K

$98.3K

$155.5K

How much do bioinformatics jobs pay per year?

As of Jun 28, 2026, the average yearly pay for bioinformatics in Reston, VA is $98,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,200.00 and $134,700.00 per year, depending on experience, location, and employer.

Is AI going to replace bioinformatics?

AI is a tool that enhances bioinformatics by automating data analysis and pattern recognition, but it is unlikely to fully replace bioinformatics professionals. Bioinformatics jobs require domain expertise, interpretation skills, and understanding of biological context that AI cannot fully replicate. Professionals in this field will continue to work alongside AI to improve research and diagnostics.

What are typical day-to-day responsibilities for someone working in bioinformatics?

A typical day in bioinformatics often involves analyzing large biological datasets, such as genomic or proteomic sequences, using specialized software and programming languages. You might spend time developing or modifying algorithms, visualizing complex data, and applying statistical methods to interpret research findings. Collaborating closely with biologists, data scientists, and clinicians is common to ensure that computational results are aligned with biological questions. Bioinformatics professionals are also expected to document their work, present findings, and stay updated with new tools and advances in the field, making for a dynamic and engaging work environment.

What is a Bioinformatics job?

A Bioinformatics job involves using computational tools and techniques to analyze biological data, such as genomic sequences, protein structures, and clinical information. Professionals in this field work at the intersection of biology, computer science, and statistics to develop algorithms, databases, and software for processing large-scale biological data. Bioinformaticians are employed in academia, pharmaceutical companies, healthcare, and biotechnology sectors to assist with research, drug discovery, and personalized medicine. Key skills include programming, data analysis, and a strong understanding of molecular biology.

What are the jobs in bioinformatics?

Jobs in bioinformatics include roles such as bioinformatics analyst, computational biologist, research scientist, and data scientist. These positions typically involve analyzing biological data using programming skills, statistical tools, and software like R or Python, often in research institutions, biotech companies, or healthcare settings.

Is bioinformatics a useful degree?

Bioinformatics is a valuable degree for careers involving computational analysis of biological data, such as genomics and drug discovery. It combines skills in biology, computer science, and data analysis, often requiring knowledge of programming languages and tools like Python or R. Graduates can work in research, healthcare, biotech, and pharmaceutical industries, where demand for data-driven biological insights is high.

What are the key skills and qualifications needed to thrive in the Bioinformatics position, and why are they important?

To thrive in bioinformatics, you need expertise in biological sciences, strong programming skills (such as Python, R, or Perl), and a solid understanding of statistics, typically supported by a degree in bioinformatics, computational biology, or a related field. Familiarity with bioinformatics databases, software tools (like BLAST, Bioconductor, or Galaxy), and experience with next-generation sequencing data analysis are highly valued. Analytical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating in interdisciplinary research environments. These skills are crucial for accurately interpreting complex biological data, developing useful computational solutions, and successfully contributing to scientific advancements.

Is bioinformatics well paid?

Bioinformatics professionals typically earn competitive salaries that vary by experience, education, and location. Entry-level positions often start around $60,000 to $80,000 annually, with experienced roles exceeding $100,000, especially in biotech and pharmaceutical industries. Skills in programming, data analysis, and familiarity with tools like Python or R can enhance earning potential.
What are the most commonly searched types of Bioinformatics jobs in Reston, VA? The most popular types of Bioinformatics jobs in Reston, VA are:
What are popular job titles related to Bioinformatics jobs in Reston, VA? For Bioinformatics jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Bioinformatics jobs in Reston, VA look for? The top searched job categories for Bioinformatics jobs in Reston, VA are:
What cities near Reston, VA are hiring for Bioinformatics jobs? Cities near Reston, VA with the most Bioinformatics job openings:
Bioinformatics jobs near you
Infographic showing various Bioinformatics job openings in Reston, VA as of June 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $98,287 per year, or $47.3 per hour.
NLM Bioinformatics Specialist and Developer (SME) I - III

NLM Bioinformatics Specialist and Developer (SME) I - III

Lexical Intelligence LLC

Bethesda, MD • On-site

$90K - $135K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 27 days ago

Job description

Bioinformatics Specialist and Developer (SME) I - III
Lexical Intelligence provides software and services related to processing large-scale biomedical information sources. Our Natural Language Processing (NLP) and analytics software is used by policy and decision makers to evaluate and prioritize current and emerging areas of research.
We are looking for Bioinformatics Specialists and Developers (SMEs) I - III to work within the National Library of Medicine (NLM), Lister Hill National Center for Biomedical Communications (LHNCBC), NIH Campus, Bethesda, MD. The SMEs will have experience in biomedical informatics research and development, software development and data analytics, and clinical data systems and statistical analysis. The SMEs will have a firm understanding of AI/ML methodologies, NLP techniques, and translational science informatics. The SMEs shall be able to work well within a team of multidisciplinary researchers, data scientists, software engineers, and federal staff across NLM divisions and NIH institutes. The selected applicants will be subject to a pre-employment background and reference check.
Level Descriptions
SME Level I - Professionals work under general supervision and are responsible for implementing technical solutions, conducting data analysis, and supporting software development projects. They should have previous experience in computer science or a related field and demonstrated high proficiency in Python. They participate in computational language processing including rule-based models, transformer models, and large language models for document-level summarization and data extraction from unstructured sources. Focus areas include implementation and execution of biomedical informatics projects under guidance, contributing to software development and data analysis tasks, and supporting research initiatives.
SME Level II - Professionals work with greater independence and are responsible for leading technical initiatives, mentoring junior staff, and managing complex analytical projects. They should have experience in artificial intelligence, machine learning, information retrieval, and data mining. At this level, professionals are expected to provide technical oversight and coordinate efforts across development teams. Focus areas include leading technical components of projects, designing and implementing complex systems, mentoring junior team members, and exercising greater autonomy in decision-making and project execution.
SME Level III - SME Level III professionals serve as technical leaders and should have at least 7 years of experience designing, deploying, and managing analytical projects that address problems in large-scale biomedical knowledge discovery. Their expertise includes categorization of biological entities, scientific document classification, parsing scientific content, and natural language processing and analysis. They provide strategic direction, manage complex projects, and serve as subject matter experts for the organization and clients. Focus areas include providing strategic technical leadership, driving innovation in research and development, serving as subject matter expert for complex biomedical informatics challenges, leading cross-functional initiatives, and contributing to scientific publications.
Required Qualifications
SME Level I
  • 4+ years of relevant experience in biomedical informatics, data science, or software development
  • Master's degree in Computer Science, Biomedical Informatics, Data Science, Bioinformatics, or related fields

SME Level II
  • 8+ years of relevant experience in biomedical informatics, data science, or software development
  • Master's degree in Computer Science, Biomedical Informatics, Data Science, Bioinformatics, or related fields

SME Level III
  • 6+ years of relevant experience in biomedical informatics, data science, or software development
  • Doctoral degree (Ph.D.) in Computer Science, Biomedical Informatics, Data Science, Bioinformatics, or related fields

Required Qualifications (All Levels)
  • Experience and education requirements as specified above (commensurate with SME level I-III)
  • Proficiency in one or more programming languages including Python, Java, C++, R, JavaScript, SQL, or MATLAB
  • Experience with machine learning (ML), deep learning (DL), and/or natural language processing (NLP) methods
  • Experience with software development lifecycle (SDLC) including analysis, design, implementation, testing, deployment, and maintenance
  • Familiarity with FISMA requirements and secure coding best practices (OWASP, US-CERT standards)
  • Strong written and oral communication skills, with the ability to document technical work for both internal and external audiences

Preferred Qualifications
  • Experience with clinical data systems, including storage, searching, analyzing, and viewing of health-related datasets (e.g., EHR, claims data)
  • Proficiency in statistical methods such as logistic/multinomial regression, Cox regression, predictive modeling, and/or Large Language Models (LLMs)
  • Experience with data visualization tools such as Tableau, Splunk, Google Analytics, Databricks, SAS, Python, Spark SQL, R, or PowerBI
  • Knowledge of cloud computing platforms (AWS, Google Cloud, Azure) including IaaS, PaaS, SaaS, and CI/CD configurations
  • Experience with containerization and orchestration tools such as Docker, Kubernetes, Anthos, or OpenShift
  • Familiarity with web development standards including Section 508 compliance, Responsive Design, and RESTful architecture
  • Experience supporting biomedical research projects in areas such as computational biology, AI-driven clinical research, image processing, or translational science
  • Familiarity with Agile/Scrum project management frameworks
  • Experience with database technologies such as MySQL, MongoDB, MS SQL, PostgreSQL, or Elasticsearch
  • Knowledge of NIH/NLM/HHS security frameworks, including NIST SP 800-53, NIST SP 800-171, FIPS 199/200, and Authority to Operate (ATO) processes
  • Experience with data interoperability, data harmonization, data linkage, and longitudinal clinical studies
  • Familiarity with tools such as Jupyter Notebooks, GitHub Copilot, ChatGPT, or ETL workflows

Responsibilities
  • Participate in all phases of software, application, and tool development and maintenance, including inception, analysis, design, implementation, testing, deployment, and maintenance
  • Support NLM's mission to advance data science, open science, biomedical informatics, biomedical discovery, and translational science
  • Develop and maintain systems and databases for the secure storage of Personal Health Information (PHI), Personally Identifiable Information (PII), and Personal Information (PI), including support for the FISMA-moderate FEHRDI environment
  • Conduct statistical analysis including regression analysis, predictive modeling (ML/DL), and synthesis of research findings using AI tools (LLM), and extract and standardize text into categorical data using NLP techniques
  • Perform data management functions including data collection, standardization, imputation, harmonization, integration, and interoperability
  • Design and implement AI and other technology projects, including for the Center for Clinical Observational Investigations
  • Support the development of web-based and user interfaces based on user needs analyses, design prototyping, and evaluation using graphic design, data visualization, and user-centered design techniques; all interfaces must meet Section 508 compliance requirements
  • Leverage commercial cloud computing services (GCP, AWS, Azure) to make tools publicly available
  • Conduct software testing and quality control employing automated testing environments and configuration management
  • Document technical project requirements, timelines, and development schedules for internal and external dependencies
  • Generate status updates for management and stakeholders, identifying progress, changes, and potential risks
  • Conduct applied research activities using modern methodologies including user surveys, stakeholder interviews, and usability testing
  • Ensure all developed software is documented for internal and external users and future maintenance
  • Ensure system architecture is secure, extensible, and able to integrate with existing internal or external systems
  • Ensure outputs are compliant with HHS, NIH, NLM, and LHNCBC security and operational policies
  • Utilize Agile and Scrum project management frameworks to ensure project deliverables are met within defined timelines
  • Ensure compliance with organizational security and privacy policies, protect sensitive data and systems, report security incidents, and participate in required cybersecurity training
  • Implement best practices related to access control, data handling, and risk mitigation within the scope of assigned duties
  • Collaborate with NLM's Office of Computer and Communications Systems (OCCS) and LHNCBC's Scientific Computing Branch (SCB) to ensure system compliance with security policies

Salary and Benefits: We offer a competitive salary and a generous benefits package, including at no cost: full health and dental for you and your dependents, retirement and HSA accounts, short- and long-term disability insurance, life and accident insurance, paid time off, and 11 federal holidays.
Location: NIH Campus, Bethesda, MD
Equal Employment Opportunity Policy: Lexical Intelligence, LLC, provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Lexical Intelligence, LLC | 2001 Veirs Mill Rd #546 | Rockville, MD 20851

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