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Remote Cancer Registry Assistant Jobs in Reston, VA

ADVI Health LLC

Data Scientist-HEOR

Washington, DC · On-site +1

$90K - $140K/yr

... and cancer provider and patient organizations, from the C-suite down and across the product ... Demonstrated experience with large-scale health data analysis (claims, EHR, registry, or clinical ...

ADVI Health LLC

Data Scientist-HEOR

Washington, DC · On-site +1

$90K - $140K/yr

... and cancer provider and patient organizations, from the C-suite down and across the product ... Demonstrated experience with large-scale health data analysis (claims, EHR, registry, or clinical ...

Credence

Cloud Platform Engineer

Mclean, VA · Remote

$56.25 - $75.25/hr

... * Assist application and engineering teams with onboarding workloads to platform services and ... Experience with Terraform modules, remote state, workspaces, and reusable IaC patterns * Experience ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Mclean, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0243464 Location: McLean,VA,US Share job via: Share Data Engineer ... cancer research, to national intelligence. As a data engineer at Booz Allen, you'll help build ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0243983 Location: Arlington,VA,US Share job via: Share Data Scientist ... Across private and public sectors from fraud detection to cancer research, to national intelligence ...

Lantern

Strategy Analyst

Rockville, MD · Remote

By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer ... This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties:

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0243682 Location: Chantilly,VA,US Share job via: Share Data Scientist ... Across private and public sectors-from fraud detection to cancer research to national intelligence ...

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0246131 Location: Chantilly,VA,US Share job via: Share Data Scientist ... Across private and public sectors, from fraud detection to cancer research to national intelligence ...

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Showing results 21-40

All JobsCancer Registry JobsRemote Cancer Registry Assistant JobsRemote Cancer Registry Assistant Jobs in Reston, VA

Remote Cancer Registry Assistant information

What is the difference between Remote Cancer Registry Assistant vs Remote Medical Records Clerk?

AspectRemote Cancer Registry AssistantRemote Medical Records Clerk
Required CredentialsCertification in cancer registry or health information management, high school diploma or equivalentHigh school diploma or equivalent, familiarity with medical records systems
Work EnvironmentHealthcare facilities, remote data entry, cancer registry databasesHospitals, clinics, remote document management
Employer & Industry UsageHospitals, cancer centers, health departmentsMedical offices, hospitals, insurance companies
Common Search & ComparisonYesYes

The Remote Cancer Registry Assistant primarily focuses on managing cancer patient data, requiring specialized certification and working within healthcare and cancer centers. In contrast, the Remote Medical Records Clerk handles general medical records, often with less specialized credentials. Both roles are essential in healthcare data management but differ in their specific focus and industry applications.

What are popular job titles related to Remote Cancer Registry Assistant jobs in Reston, VA? For Remote Cancer Registry Assistant jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Remote Cancer Registry Assistant jobs in Reston, VA look for? The top searched job categories for Remote Cancer Registry Assistant jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Cancer Registry Assistant jobs? Cities near Reston, VA with the most Remote Cancer Registry Assistant job openings:
Remote Cancer Registry Assistant jobs near you
Infographic showing various Remote Cancer Registry Assistant job openings in Reston, VA as of August 2026, with employment types broken down into 69% Full Time, 23% Part Time, and 8% Contract. Highlights an 100% Remote job distribution.

Principal AWS Data Platform & ML Ops Architect (Remote, Continental United States)

International Consulting Associates, Inc.

Arlington, VA • On-site, Remote

$170K - $174K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

About ICA, Inc.
International Consulting Associates, Inc. is a rapidly growing company, located in the D.C./Metro area. We were founded in 2009 to assist government clients with evaluating and achieving their objectives. We have become a trusted advisor helping our clients by offering cutting-edge innovation and solutions to complex projects. Our small company has grown significantly, and we're overjoyed at the opportunity to expand yet again!
We are results-focused and have a proven track record supporting federal agencies and large government services primes in three main areas: Research and Data Analysis, Advanced-Data Science, and Strategic Services. We currently support multiple analytics and research programs across HHS.
At ICA, we believe our success starts with our people. We foster a collaborative "one team" environment where work-life balance isn't just talked about - it's prioritized. We're building dynamic, highly skilled teams in a welcoming and supportive atmosphere. If you're passionate about using your technical expertise to make a difference, we want to talk to you.
We are looking for a Principal AWS Data Platform & ML Ops Architectto join our growing team!
ABOUT THE ROLE:
We are seeking a hands-on Principal AWS Data Platform & MLOps Architect to design and build a shared data and AI platform supporting multiple products and projects.
Your mandate will be to establish a unified AWS-native platform, including shared data models, pipelines, services, and serving layers that can support document intelligence, semantic and multimodal search, RAG applications, data science projects, dashboards, and analytics. You will define the technical direction and build the platform capabilities through hands-on development and by guiding other Data Engineers.
KEY RESPONSIBILITIES:
Architect and Build the Shared Platform
  • Define the target AWS architecture for shared data, document-processing, search, analytics, and AI capabilities.
  • Design the canonical data model, ingestion and processing pipelines, storage patterns, APIs, event contracts, and serving layers.
  • Build a reusable platform serving multiple products and projects with critical shared capabilities and establish repeatable implementation patterns for engineering teams.
  • Develop an incremental migration and adoption strategy for bringing existing solutions onto the shared platform.
  • Identify duplicated pipelines, services, infrastructure, and technical patterns across projects.
  • Determine which capabilities should become shared platform services and which should remain project-specific.

Define the Data and MLOps Architecture
  • Design the AWS-based path from data science deliverables to production by establishing architecture for model packaging, deployment, serving, registry, monitoring, drift detection, and retraining workflows.
  • Define onboarding standards for new data products, models, search applications, and AI-enabled services.
  • Design platform capabilities supporting search indexes, embeddings, vector retrieval, RAG, and model evaluation.

Provide Technical Design Authority
  • Lead architecture and design reviews before significant development begins.
  • Establish reference architectures, approved patterns, architecture decision records, and engineering standards.
  • Require teams to use shared platform capabilities where appropriate and evaluate justified exceptions.
  • Ensure platform designs meet performance, scalability, reliability, security, auditability, disaster-recovery, and cost requirements.
  • Provide technical leadership and mentoring across data engineering, data science, software engineering, and platform teams.
  • Partner with product and engineering leaders on a cross-project platform roadmap.

REQUIRED QUALIFICATIONS:
  • Active AWS Certifications (Solutions Architect, Data Engineer or Machine Learning)
  • Extensive experience designing and building enterprise data platforms or AI/ML platforms on AWS.
  • Demonstrated experience creating shared platform capabilities adopted by multiple products, projects, or business units.
  • Experience consolidating separate production data systems through incremental migration and adoption.
  • Strong hands-on AWS architecture experience key for Data, AI, ML Engineering including S3, DynamoDB, Lambda, ECS, Fargate, or AWS Batch, Step Functions, SQS, SNS, and EventBridge, OpenSearch Service, Glue and Athena, SageMaker, IAM, KMS, and CloudWatch
  • Strong experience with data engineering, distributed systems, event-driven architecture, APIs, data modeling, metadata, lineage, governance, and access control.
  • Strong MLOps architecture experience, including model deployment, serving, registries, monitoring, drift detection, and retraining workflows.
  • Experience designing search, vector retrieval, embedding, or RAG data foundations.
  • Experience with infrastructure as code using AWS CDK, Terraform, or CloudFormation.
  • Experience with multi-account AWS environments, private networking, and AWS Well-Architected principles.
  • Ability and willingness to write production code and build initial critical platform components.
  • Experience influencing senior engineers and enforcing architecture decisions across teams without direct management authority.
  • Strong technical communication and decision-making skills.
  • Must be authorized to work in the United States and have lived in the US for 3 or more consecutive years.
  • Must be able and willing to obtain a Public Trust Clearance

PREFERRED QUALIFICATIONS:
  • Experience with document intelligence, OCR, multimodal search, data lake or lakehouse platforms, or generative AI systems.
  • Experience with Amazon Textract, Amazon Bedrock, SageMaker, OpenSearch vector capabilities, or AWS Lake Formation.
  • Experience working with regulated, sensitive, or access-controlled data.
  • Familiarity with audit, data provenance, evidence retention, tenant isolation, and model-governance requirements.
  • Experience establishing shared platform practices in consulting, professional-services, or multi-client environments.
  • Experience with AWS Organizations, Control Tower, disaster recovery, and cloud cost optimization.

USE OF AI ASSITIVE TECHNOLOGY:
All application materials must be your own original work, and interviews must be completed independently. Use of AI-generated content in applications or AI assistance during interviews will result in disqualification.
BENEFITS:
We invest in our team members so you can live your best life professionally and personally, offering a competitive salary and benefits.
  • Health Insurance -100% employer-paid premiums - ICA covers the full cost of one of three offered medical plans
  • Dental Insurance
  • Vision insurance
  • Health Spending Account
  • Flexible Spending Account
  • Life and Disability insurance
  • 401(k) plan with company match
  • Paid Time Off (Vacation, Sick Leave and Holidays)
  • Education and Professional Development Assistance
  • Remote work from anywhere within the continental United States

LOCATION & TELEWORK
This is a remote position following Eastern Standard Time (EST). Candidates residing in the DMV area preferred.
ADDITIONAL INFORMATION:
ICA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, national origin, genetics, disability status, protected veteran status, age, or any other characteristic protected by state, federal 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.

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