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Remote Genomic Data Analyst Jobs in Virginia (NOW HIRING)

Data Analyst About the Organization Now is a great time to join Redhorse Corporation. Our mission ... for remote work to be determined by the program manager and customer. Essential Functions:

POSITION TITLE Principal Data Analyst POSITION LOCATION This position is available to Virginia ... remote applicants residing in states/locations under Eastern or Central Standard Time: Alabama ...

Koniag IT Systems, LLC, a Koniag Government Services company , is seeking a Data & Metrics Analyst with a Secret security clearance to support KITS and our government customer. The position is remote.

Koniag IT Systems, LLC, a Koniag Government Services company , is seeking a Data & Metrics Analyst with a Secret security clearance to support KITS and our government customer. The position is remote.

Junior Data Analyst

Arlington, VA · On-site +1

$50K - $75K/yr

TSTC is seeking a full-time Junior Data Analyst to provide research services for one of TSTC ... Flexible Work Options - Remote work allowed, flexible schedules, and telework opportunities ...

Junior Data Analyst

Arlington, VA · On-site +1

$50K - $75K/yr

TSTC is seeking a full-time Junior Data Analyst to provide research services for one of TSTC ... Flexible Work Options - Remote work allowed, flexible schedules, and telework opportunities ...

Project Talent Model (PTM) is a model that is tailored specifically for long-term, remote client ... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by ...

Project Talent Model (PTM) is a model that is tailored specifically for long-term, remote client ... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by ...

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Remote Genomic Data Analyst information

What is a Remote Genomic Data Analyst?

A Remote Genomic Data Analyst is a professional who analyzes and interprets genetic and genomic data, typically working from a location outside a traditional office. They use bioinformatics tools and statistical techniques to process DNA, RNA, or protein sequencing data, supporting scientific research, clinical diagnostics, or pharmaceutical development. Their responsibilities often include data cleaning, quality control, visualization, and reporting of genomic findings. Working remotely, they collaborate with researchers or clinicians using digital communication platforms and may be employed by universities, hospitals, biotech companies, or research institutions.

What are some common challenges faced by Remote Genomic Data Analysts, and how can they be managed?

Remote Genomic Data Analysts often encounter challenges such as managing large-scale genomic datasets, ensuring data privacy, and collaborating effectively with distributed teams. To address these, it’s helpful to be proficient in cloud-based data management tools and maintain strong communication through regular virtual meetings. Staying current with best practices in data security and participating in online forums or collaborative platforms can also help overcome technical and collaboration hurdles.

What are the key skills and qualifications needed to thrive as a Remote Genomic Data Analyst, and why are they important?

To thrive as a Remote Genomic Data Analyst, you need a solid background in bioinformatics, statistics, and genomics, typically supported by a degree in biology, computational science, or a related field. Familiarity with tools such as Python, R, command-line interfaces, and genomic databases, as well as experience with platforms like AWS or cloud-based analysis systems, is often required. Strong analytical thinking, attention to detail, and effective remote communication are important soft skills for collaborating across virtual teams and interpreting complex data. These skills and qualities are crucial for accurate data analysis, efficient problem-solving, and successful contribution to research or clinical genomics projects in a remote environment.
What are the most commonly searched types of Genomic Data Analyst jobs in Virginia? The most popular types of Genomic Data Analyst jobs in Virginia are:
What are popular job titles related to Remote Genomic Data Analyst jobs in Virginia? For Remote Genomic Data Analyst jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Genomic Data Analyst jobs in Virginia look for? The top searched job categories for Remote Genomic Data Analyst jobs in Virginia are:
What cities in Virginia are hiring for Remote Genomic Data Analyst jobs? Cities in Virginia with the most Remote Genomic Data Analyst job openings:
Infographic showing various Remote Genomic Data Analyst job openings in Virginia as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Data Analyst

Other

Posted 18 days ago


Job description

Position Title: Data Analyst

Location: Arlington, VA (Remote)

Clearance Level: Secret

Responsibilities will include, but are not limited to:

  • Analyze military operational data to identify trends, patterns, and anomalies that can inform strategic decision-making.
  • Clean, and preprocess large datasets related to Army operations, logistics, personnel, and intelligence for analysis.
  • Develop dashboards and reports to visualize key performance indicators and metrics for Army leadership.
  • Perform geospatial analysis to support mission planning, resource allocation, and situational awareness.
  • Conduct data mining and exploratory data analysis to extract insights from diverse military datasets.

Required qualifications

  • Bachelor’s Degree in related field of study or equivalent experience.
  • Minimum of three years of experience, one within DoD, working with big-data systems and developing production-level data models.
  • Possess skills and expertise in machine learning tools to select features, create, and optimize classifiers.
  • Possess demonstrable collegiate-level writing skills, demonstrated familiarity with the U.S. Army organization and regulations, and strong organization and communication skills.
  • Have a strong data science, machine learning, and statistical modeling background.
  • Communicate complex technical findings to a variety of audiences.
  • Demonstrate practical experience substantiating equivalent skills such as Structured Query Language, Microsoft Excel, R or Python statistical programming, Data Visualization, and Presentation Skills. Prior knowledge of Power BI, Tableau, and Advana data science is preferred.