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Remote Cancer Data Analyst Jobs in Virginia (NOW HIRING)

Redhorse Corporation

Data Analyst

Arlington, VA · On-site +1

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:

SAIC

Data Analyst - GEOINT Technical SME

Springfield, VA · Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Analyst - GEOINT Technical SME applies their technical and analytical capabilities to support key business and security ...

Genworth Financial

Principal Data Analyst

Richmond, VA · On-site +1

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 ...

Excella

Senior Data Analyst

Arlington, VA · On-site +1

$98K - $124K/yr

Senior Consultant Data Analyst Arlington, Virginia, United States, Remote Application Excella is a transformative technology firm that helps organizations unlock new possibilities. We believe the key ...

Blue Ridge Care

Healthcare Data Analyst

Winchester, VA · On-site +1

Healthcare Data Analyst - Join the Blue Ridge Care Team! Blue Ridge Care works to optimize the ... Hybrid work environment: remote work permitted with periodic travel to the Winchester office ...

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All JobsCancer Data Analyst JobsRemote Cancer Data Analyst JobsRemote Cancer Data Analyst Jobs in Virginia

Remote Cancer Data Analyst information

How does a Remote Cancer Data Analyst typically collaborate with oncology teams and other healthcare professionals?

As a Remote Cancer Data Analyst, you will often work closely with oncologists, medical researchers, and hospital data teams to interpret and manage cancer-related datasets. Collaboration is typically achieved through virtual meetings, shared data platforms, and detailed reporting, ensuring all stakeholders have access to accurate and timely information. You may be involved in multidisciplinary case discussions, supporting clinical decision-making through data insights, and contributing to research projects. Strong communication skills and proficiency with data visualization tools are crucial for conveying complex findings to non-technical team members.

What is the difference between Remote Cancer Data Analyst vs Remote Oncology Data Specialist?

AspectRemote Cancer Data AnalystRemote Oncology Data Specialist
Required CredentialsBachelor's in Data Science, Biology, or related field; experience with data analysis toolsSimilar credentials; often additional certification in oncology or healthcare data
Work EnvironmentRemote, healthcare or research organizationsRemote, healthcare providers, research institutions
Employer & Industry UsageHospitals, research centers, biotech firmsOncology clinics, pharmaceutical companies, research institutions
Search & Comparison IntentYesYes

The Remote Cancer Data Analyst and Remote Oncology Data Specialist roles share similar credentials, work environments, and industry usage. The main difference lies in terminology; the Data Specialist may focus more on specific oncology datasets and clinical information, while the Analyst emphasizes broader data analysis tasks. Both roles are essential in advancing cancer research and patient care remotely.

What is a Remote Cancer Data Analyst?

A Remote Cancer Data Analyst is a professional who collects, analyzes, and interprets cancer-related data from various sources while working remotely. Their work supports research, clinical trials, and public health initiatives by identifying trends, tracking patient outcomes, and ensuring data accuracy. These analysts often collaborate with healthcare professionals, researchers, and public health organizations to improve cancer treatment and prevention strategies. Remote positions allow flexibility and the use of digital tools to securely access and manage sensitive health data.

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

To thrive as a Remote Cancer Data Analyst, you need strong analytical skills, proficiency in epidemiology or biostatistics, and usually a degree in public health, statistics, or a related field. Familiarity with statistical software (such as SAS, R, or SPSS), cancer registry databases, and data visualization tools is typically required. Attention to detail, effective communication, and the ability to work independently are crucial soft skills in this remote role. These skills ensure accurate data analysis, meaningful insights for cancer research, and seamless collaboration despite working remotely.
What are the most commonly searched types of Cancer Data Analyst jobs in Virginia? The most popular types of Cancer Data Analyst jobs in Virginia are:
What cities in Virginia are hiring for Remote Cancer Data Analyst jobs? Cities in Virginia with the most Remote Cancer Data Analyst job openings:
Remote Cancer Data Analyst jobs near you
Data Analyst

Data Analyst

PEOPLE TECHNOLOGY AND PROCESSES LLC

Arlington, VA • Remote

Other

Re-posted 3 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.

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