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Virtual Bioinformatic Jobs (NOW HIRING)

Healthcare Data Analyst Sr.

VA · Remote

$88K - $111K/yr

Data Science and Bioinformatics Team - Healthcare Data Analyst Sr. Responsibilities of the Health ... Virtual meeting software experience such as MS Teams is required. Educational Requirements: * A ...

New faculty will join a vibrant department with active research clusters in algorithms, artificial intelligence, bioinformatics, computer networking, computer vision, graphics and Virtual Reality ...

Responsibilities : • Own and evolve the Virtual Cell Challenge backend, including authentication ... Bioinformatics, or a related field • Proficiency in Python or Node.js and modern API frameworks ...

Data Scientist I (Assistant)

Rahway, NJ · On-site

$104K - $114K/yr

Conduct active computational research in areas of machine learning, molecular modeling, and virtual ... Bachelor's degree in Computational Physics, Computational Chemistry, Bioinformatics, Computer ...

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Virtual Bioinformatic information

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$11

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$33

How much do virtual bioinformatic jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for virtual bioinformatic in the United States is $24.40, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $27.40 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Virtual Bioinformatician, and why are they important?

To thrive as a Virtual Bioinformatician, you need a strong background in biology, statistics, and computer science, typically supported by a degree in bioinformatics or a related field. Proficiency in bioinformatics tools such as BLAST, Galaxy, R, Python, and experience with data analysis platforms and databases is essential. Strong problem-solving abilities, collaboration, and effective communication skills help you interpret complex data and work with interdisciplinary teams remotely. These skills ensure accurate data analysis, meaningful scientific insights, and efficient collaboration in virtual research environments.

What is the difference between Virtual Bioinformatic vs Data Analyst?

AspectVirtual BioinformaticData Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fields; sometimes certifications in bioinformatics toolsBachelor's or Master's in Data Science, Statistics, or related fields; certifications in data analysis tools
Work EnvironmentRemote or on-site in research labs, biotech companies, or healthcare settingsRemote or on-site in various industries including finance, healthcare, and tech
Industry UsagePrimarily in biotech, pharmaceutical, and research institutionsAcross multiple industries including finance, marketing, healthcare, and technology

While both roles involve analyzing data, Virtual Bioinformaticians focus on biological data such as genomic sequences, whereas Data Analysts work with diverse datasets across industries. The credentials and work environments overlap, but their specialized knowledge areas differ significantly.

What is a Virtual Bioinformatician?

A Virtual Bioinformatician is a professional who uses computational tools, data analysis, and biological knowledge to interpret complex biological data, such as genomic or proteomic information, while working remotely. They collaborate with researchers and scientists to analyze large datasets, develop algorithms, and provide insights into biological processes. This role is often found in research institutions, healthcare, and biotechnology companies, and may involve tasks like genome sequencing, data visualization, and software development. Virtual Bioinformaticians leverage their expertise in both biology and computer science to support scientific discoveries and advancements.

How do Virtual Bioinformaticians typically collaborate with remote teams and clients?

Virtual Bioinformaticians often work closely with interdisciplinary teams, including researchers, clinicians, and software engineers, through digital communication platforms. Regular video meetings, collaborative cloud-based tools, and version control systems like Git are commonly used to share data, discuss findings, and coordinate project tasks. Clear documentation and proactive communication are essential to ensure everyone stays aligned, especially when working across different time zones. This remote collaboration structure allows for flexibility but also requires strong organizational and interpersonal skills to manage expectations and deliver results effectively.
More about Virtual Bioinformatic jobs
What cities are hiring for Virtual Bioinformatic jobs? Cities with the most Virtual Bioinformatic job openings:
What are the most commonly searched types of Bioinformatic jobs? The most popular types of Bioinformatic jobs are:
What states have the most Virtual Bioinformatic jobs? States with the most job openings for Virtual Bioinformatic jobs include:
Infographic showing various Virtual Bioinformatic job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $50,749 per year, or $24.4 per hour.
Healthcare Data Analyst Sr.

Healthcare Data Analyst Sr.

JP Systems, Inc.

VA • Remote

$88K - $111K/yr

Part-time

Posted 9 days ago


Job description

Join our JPSys team and make a difference in the future of global healthcare!


J P Systems provides professional services in support of the CDC. Be part of a project team influencing the future of Public Health data management by helping us to analyze and improve workflowsacross the Federal Government.Our mission is to standardize, manage and improve the usability of clinical data for Public Health.


Data Science and Bioinformatics Team - Healthcare Data Analyst Sr.


Responsibilities of the Healthcare Data Analyst Sr. may include:

  • Support a major federal agency client in the improvement of clinical data quality and health information exchange with Community Care health partners.
  • Identify, propose, create and implement data queries on existing Clinical data sets, perform analysis, develop quality metrics, and suggest process improvements.
  • Produce data analytic visuals and reports to communicate clinical data analysis results.
  • Ability to present and defend the analytical reports, including assumptions used and recommendations, to individuals in a wide variety of healthcare roles, such as clinicians, informaticists, healthcare exchange networks, and business decision makers.
  • Ability to interface with clinical data quality/data analysts and project team personnel and the client's Program Office team and create clear data analysis reports effectively and efficiently.
  • Identify and research concerns and problem areas.
  • Involved in the development of Quality Assurance (QA) metrics, sampling strategies, and analyses.


Project Requirements:

  • Maintain workload metrics on analytic activities.
  • Ensure project documentation is accessibility compliant.
  • Communicate and work as cohesive team member, who can discuss and educate team members on new analytic metrics and studies.


Skills and Qualifications:

  • Must have 5 - 9 years' experience for this role.
  • Must have the skills and expertise to support data science tools (Databricks, Spark, Jupyter, R, Machine Learning, SAS) to produce statistical tables, reports and data analysis of healthcare data.
  • Provide expertise in machine learning and artificial intelligence including cloud-based tools.
  • Provide expertise in bioinformatics and data science programming languages (e.g., R, Python, Perl).
  • Provide expertise in Bioinformatics and development of genomics workflows (E.g. Nextflow Tower)
  • Provide cloud-based data science support including:
  • Cloud-based SQL and non-SQL server, which may include databases such as SQL Server as a service, Data Lake technology, such as Databricks Delta Lake, and Data Warehousing ii. iii.
  • Object-oriented design principles and patterns and be able to apply those principles in designing object-oriented code and architectures. MS Azure Delta Lake, Databricks, Kubernetes, and other cloud-based analytics tools within Azure and AWS where appropriate Develop and utilize statistical and analytical procedures for producing reports and performing data engineering, wrangling, exploration, and usage for qualitative, statistical, biological, and geospatial data formats.
  • Provide trend analysis to make informed decisions regarding resource management. i. Assist in the planning, review, and reporting of data/statistical results of program/project studies.
  • Provide expertise in the design of schemas / data structures and the use of unified modeling language (UML) to define data relationships. Implement correlation and regression analysis (linear, logistic, log linear) techniques, time series and principles based on time series analysis. Use an assortment of sampling methodologies.
  • Able to multitask and handle multiple priorities with a calm, positive attitude, and professional manner.
  • Ability to communicate effectively in written and verbal form.
  • Demonstrated ability to be self-starter and be able to work with all types of personnel with a professional attitude.
  • Excellent time management, organizational, and multi-tasking skills.
  • Must be a technically savvy, highly self-motivated and independent worker.
  • Highly developed soft skills / people skills and a positive attitude.
  • Virtual meeting software experience such as MS Teams is required.


Educational Requirements:

  • A bachelor's degree or an associate degree plus 2 years relevant experience, or 4 years relevant experience required in Information Systems, Computer Science, Nursing, Medicine, Public Health, Medical Informatics, Statistics or other relevant clinical discipline is required.


Educational Equivalents:

  • An associate's degree plus 2 years' experience may be used as an equivalent to a BA degree or 4 years' experience may be used as an equivalent to a BA.


Although we are 100% virtual, you must be located in one of our hiring states of AZ, CO, FL, GA, ID, IL, MD, MI, SC, TX, VA, WI, or WV

Must have high speed internet connection.

Relocation:Not paid

J P Systems 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.

Please note that our pay ranges are carefully researched and set based on the requirements of the position. The salary range is displayed under Compensation for each position. If you feel you qualify for a more senior level position than the ones advertised, please feel free to instead submit your resume from our Open Jobs webpage for consideration.