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Remote Variant Curation Scientist Jobs (NOW HIRING)

Staff, Software Engineer

$164K - $246K/yr

Remote - U.S. We are seeking a Staff Software Engineer to help lead the design and development of ... scientific workflows for variant identification, curation, ranking, and clinical reporting.

Staff, Software Engineer

$164K - $246K/yr

Remote - U.S. We are seeking a Staff Software Engineer to help lead the design and development of ... scientific workflows for variant identification, curation, ranking, and clinical reporting.

... curation, metadata standardization, and database operations support for NASA's Open Science Data Repositories (OSDR) within the NASA Ames Research Center's. The incumbent will support the team with ...

... 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 ...

Imagery Scientist (EO) - Senior

Falls Church, VA Β· On-site +1

$160K - $190K/yr

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

... variant calling workflows. * Experience in algorithm development and data analysis, including ... Remote USA $117,400-$146,800 USD OUR OPPORTUNITY Nateraβ„’ is a global leader in cell-free DNA ...

Data Scientist - Remote

Omaha, NE Β· Remote

$110K - $130K/yr

Data Scientist - Remote Apply now Job no: 505197 Work type: Full Time Regular Location: Remote ... Including RAG architectures, data curation for knowledge bases, prompt engineering, tool-use design ...

Showing results 21-40

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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Infographic showing various Remote Variant Curation Scientist job openings in the United States as of September 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 100% Remote job distribution.

Bioinformatics Scientist -- NGS Assay Development (Remote)

Remote

$90K - $120K/yr

Full-time

Posted 15 days ago


Job description

Our bioinformatics team develops and supports next-generation sequencing assays for oncology and other human genomic applications. We are seeking a hands-on bioinformatics scientist who can combine strong programming skills with human genomics expertise to support the design, evaluation, and improvement of targeted NGS assays.
This role is well suited to someone who enjoys working directly with sequencing data, investigating unexpected assay behavior, developing reproducible analyses, and translating complex findings into clear technical conclusions. The scientist will work closely with molecular biology, software, product development, regulatory, and clinical teams.
Responsibilities:
  • Develop reproducible analyses and computational workflows in Python, R, and/or Bash to evaluate NGS assay performance.
  • Analyze DNA and RNA sequencing data generated from targeted assays, including SNVs, indels, CNVs, fusions, coverage, assay artifacts, and other performance characteristics.
  • Investigate assay failures and unexpected results using sequencing data, genomic context, experimental metadata, and appropriate statistical or computational approaches.
  • Support development and optimization of targeted amplicon-based NGS assay workflows.
  • Use public genomic and oncology resources such as ClinVar, gnomAD, TCGA/cBioPortal, dbSNP, and primary literature to research genomic targets and interpret assay results.
  • Work closely with molecular biology scientists to translate experimental observations into testable computational analyses and assay improvements.
  • Develop tools, scripts, and analytical methods that improve the efficiency, robustness, or interpretability of assay development.
  • Maintain well-organized, reproducible analyses with clear version control, data provenance, and documentation.
  • Communicate findings through concise technical reports, figures, presentations, protocols, and other documentation that can be understood by both computational and non-computational collaborators.
  • Manage multiple development projects and analyses while maintaining clear records of assumptions, methods, results, and outstanding questions.

Qualifications:
  • MS or PhD in bioinformatics, computational biology, genetics, genomics, or a related field.
  • Demonstrated hands-on programming experience in Python, R, or another general-purpose scientific programming language. Candidates should be comfortable writing their own analysis code rather than relying primarily on graphical or preconfigured analysis tools.
  • Strong knowledge of human genomics and genetic variation.
  • Experience analyzing human NGS data, including alignment, QC, variant analysis, and interpretation.
  • Familiarity with common genomics file formats and tools such as FASTQ, BAM/CRAM, VCF, BED, BWA, samtools, bedtools, GATK, or equivalent tools.
  • Demonstrated ability to independently investigate complex datasets, identify the source of analytical or experimental problems, and communicate conclusions.
  • Strong scientific writing and documentation skills, with evidence of producing reproducible analyses, technical documentation, protocols, reports, publications, or similar work.
  • Strong organizational skills and ability to manage multiple analyses and development activities with appropriate documentation and follow-through.
  • Ability to communicate effectively with molecular biologists, software engineers, and other cross-functional collaborators.

Preferred Qualifications:
  • Experience developing or analyzing targeted NGS assays using amplicon sequencing or hybrid capture.
  • Experience with oncology genomics, somatic variant analysis, low-input DNA, FFPE, cfDNA, or other clinically relevant sample types.
  • Experience evaluating assay performance metrics such as coverage, uniformity, sensitivity, specificity, background error, limit of detection, or variant-calling performance.
  • Experience with primer/probe design, target-region design, or computational support of molecular assay development.
  • Experience developing new algorithms or analytical methods for genomic data.
  • Experience with reproducible development practices using Git, Jira, containers, or similar tools.

$90,000 - $120,000 a year
Please note: You must complete all application questions to be considered for the role
Pillar Biosciences is an equal opportunity employer
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.