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Remote Variant Curation Scientist Jobs (NOW HIRING)

NT Concepts

Data Scientist

Herndon, VA · On-site +1

... data curation and synthetic data generation to model training, evaluation, and delivery. Our ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ...

GRVTY

Imagery Scientist (EO) - Senior

Falls Church, VA · Remote

$97K - $133K/yr

... improve data curation and development in support of Machine Learning algorithm testing and ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Natera

Staff Scientist, Bioinformatics/RWD

Lead the extraction, curation, and analysis of large-scale RWD sources, including Electronic Health ... Expert knowledge of bioinformatics tools including mapping, variant calling, CNV analysis and ...

Natera

Staff Scientist, Bioinformatics/RWD

OR · On-site +1

Lead the extraction, curation, and analysis of large-scale RWD sources, including Electronic Health ... Expert knowledge of bioinformatics tools including mapping, variant calling, CNV analysis and ...

NeoGenomics Laboratories

Clinical Literature Curator

$85K - $122K/yr

This is a remote position with a Monday - Friday shift. Now that you know what we're looking for in ... This role transforms complex scientific evidence into clear, actionable insights that support ...

AIS Inc

Data Scientist

Miami, FL · Remote

Support data curation and storage, including cloud-based data repositories * Assist with ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

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Remote Variant Curation Scientist information

What is a remote variant curation scientist?

A Remote Variant Curation Scientist is a genetics professional who works remotely to analyze and interpret genetic variants, typically from DNA sequencing data. They review scientific literature, databases, and clinical information to determine the significance of genetic changes, often as part of clinical diagnostic laboratories or research teams. Their work helps to classify genetic variants as pathogenic, benign, or of unknown significance, supporting genetic counseling and medical decision-making. Remote roles involve collaborating with other scientists and clinicians using digital tools and secure data platforms.

What are the key skills and qualifications needed to thrive as a remote variant curation scientist?

To thrive as a Remote Variant Curation Scientist, you need a strong background in genetics or molecular biology, experience with variant interpretation, and usually an advanced degree in a relevant life sciences field. Familiarity with bioinformatics tools, genomic databases (such as ClinVar or HGMD), and variant curation software is commonly required. Exceptional analytical thinking, attention to detail, and clear written communication are vital soft skills for this role. These abilities ensure accurate and reliable variant analysis, facilitating informed clinical or research decisions in a remote work environment.

What are some typical challenges faced by remote variant curation scientists when collaborating with distributed teams?

Remote Variant Curation Scientists often work closely with bioinformaticians, clinical geneticists, and data analysts across different locations and time zones. Common challenges include coordinating communication for complex case discussions, ensuring data security and privacy when sharing sensitive genetic information, and maintaining consistent standards for variant interpretation. Utilizing collaborative platforms and adhering to standardized workflows can help overcome these obstacles and support productive teamwork. Regular virtual meetings and clear documentation are also key to maintaining alignment and ensuring accurate variant assessments.

What is the difference between Remote Variant Curation Scientist vs Remote Genetic Data Analyst?

AspectRemote Variant Curation ScientistRemote Genetic Data Analyst
Required CredentialsBachelor's or Master's in Genetics, Molecular Biology, or related field; experience with genomic dataBachelor's or Master's in Genetics, Bioinformatics, or related field; proficiency in data analysis
Work EnvironmentLaboratory or remote, focusing on variant interpretation and curationRemote, analyzing genetic datasets and generating reports
Industry UsageHealthcare, biotech, genomic researchHealthcare, research institutions, biotech

The Remote Variant Curation Scientist primarily interprets and annotates genetic variants to support clinical and research applications, requiring specialized genomic knowledge. In contrast, the Remote Genetic Data Analyst focuses on analyzing genetic datasets to identify patterns and generate insights. Both roles often work remotely within the biotech and healthcare industries, but their core responsibilities and skill sets differ slightly.

How to become a remote variant curation scientist?

To become a remote variant curation scientist, candidates typically need a background in genetics, bioinformatics, or molecular biology, along with experience using genomic databases and annotation tools. Strong analytical skills, attention to detail, and proficiency in programming languages like Python or R are also important. Relevant certifications or advanced degrees can enhance prospects for remote work in this specialized field.
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Remote Variant Curation Scientist jobs near you
Infographic showing various Remote Variant Curation Scientist job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 13% Part Time, and 7% Contract. Highlights an 100% Remote job distribution.

Data Scientist

NT Concepts

Herndon, VA • On-site, Remote

Full-time

Re-posted 16 hours ago

Job description

Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in National Security. We're looking for the best and the brightest to join us in supporting this mission. If meaningful work, initiative, creativity, and continuous self-improvement are important to your career, join our growing team and discover What's Next for you.
Mission Focus: As a Data Scientist, you will contribute to a program advancing state-of-the-art modeling and prediction capabilities focused on object detection robustness. Working within a cross-functional team and reporting to a technical lead, you will operate across the machine learning development lifecycle, from data curation and synthetic data generation to model training, evaluation, and delivery.
Our delivery teams follow SAFe Agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first," and leverage modern tech stacks. This position requires a mid-to-senior level of experience, a passion for mission support, and a strong desire to solve our customers' hardest technical and data challenges.

Clearance: Active TS Clearance with ability to obtain TS/SCI. US Citizenship is required.

Location/Flexibility: Herndon, VA with remote flexibility. Must be local to the DC Metro area. 

Responsibilities

  • Curate, transform, and optimize imagery data, including optical, Synthetic Aperture Radar (SAR), and synthetic data, for use by machine learning algorithms
  • Design and maintain data conversion and ETL pipelines to prepare customer data for model training
  • Generate and analyze synthetic data to augment computer vision models where real-world data is scarce
  • Train, evaluate, and optimize deep neural network models on overhead imagery, including hyperparameter tuning and performance analysis
  • Perform exploratory data analysis, feature engineering, and preprocessing to improve model performance
  • Develop and visualize explainable AI metrics and model performance indicators
  • Incorporate research and development outputs into the operational code base
  • Communicate analytic findings to both technical and non-technical stakeholders
  • Contribute to solutioning sessions and technical sections of project proposals


Required Qualifications

  • 5+ years of experience in data science, machine learning, or a related field
  • Hands-on experience with data curation techniques for overhead imagery (optical or SAR) and computer vision model development
  • Experience building and maintaining ETL or data processing pipelines
  • Proficiency in Python and familiarity with machine learning and deep learning libraries such as PyTorch
  • Experience with Git-based version control systems
  • Proficiency working in the Linux operating system
  • Strong analytical and problem-solving skills
  • Ability to work in a fast-paced, collaborative, Agile environment
  • Eligibility to work in classified environments and hold required security clearances


Preferred Qualifications

  • Experience with synthetic data generation and analysis for computer vision applications
  • Experience with cloud-based or distributed computing platforms
  • Experience deploying models into production and supporting ongoing operations and maintenance
  • Experience communicating technical results to non-technical audiences or contributing to customer-facing deliverables
  • Awareness of emerging data science, AI/ML, and big-data technologies relevant to national security missions
  • Experience contributing to technical proposals

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