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Remote Variant Analyst Jobs (NOW HIRING)

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... analysis, variant calling) using open and reproducible science best practices. * Support the ...

Highmark Health

Senior CRM Strategist

New York, NY · On-site +1

Perform A/B testing, multi-variant testing, and post-campaign analysis to optimize campaign ... Office-Based or Remote Position Physical work site required * Never Disclaimer: The has been ...

Everyday Dose Inc.

Social Media Manager

We are changing that. 50% of Americans have a gene variant that makes metabolizing caffeine ... Knowledge of social media analytics tools (Meta Business Suite, TikTok Analytics, Sprout Social ...

Trulieve

Senior Data Engineer

Tallahassee, FL · Remote

$95K - $129K/yr

Remote Responsibilities * Design and Implement Snowflake-Native Data Architectures * Lead the ... Work closely with analytics and data science teams to understand data requirements and translate ...

Infosys Limited Digital

Lead SAP MM/WM Consultant

$94K - $131K/yr

Job details Job Role Lead Consultant - US Work Location Anywhere in the US and/or Remote State ... Analyze impact on workflow. * Draft or update functional specs for enhancements * Cross-Functional ...

Natera

Sr. Scientist

OR · On-site +1

San Carlos, CA, Austin, TX, or Remote, USA Sr. Scientist -CKD and rare disease Job Summary Natera ... variant calling, CNV analysis, and core statistical methods. Solid understanding of real-world data ...

Infosys Limited Digital

SAP Auto Industry Consultant

$116K - $150K/yr

... Remote Country USA Skills Technology|SAP Industry Solution|SAP Automotive Domain Consulting ... Deep understanding of discrete manufacturing aspects covering multi level BOMs, variant ...

BridgeBio Pharma

Senior Statistical Geneticist

$185K - $230K/yr

S.-based remote role with periodic travel (quarterly or as needed) to BridgeBio's San Francisco ... single-variant and gene-based association analyses using WES/WGS/array genotyping data ...

Tivity Health

Sr Product Manager - remote opportunity

$120K - $160K/yr

Run a disciplined experiment cycle: hypothesis → variant → measure → ship the winner or ... Technical fluency with engineers (APIs, feature flags, CMS, analytics); healthcare, wellness, or ...

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Remote Variant Analyst information

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$73.3K

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How much do remote variant analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote variant analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Variant Analyst vs Remote Data Analyst?

AspectRemote Variant AnalystRemote Data Analyst
Required CredentialsBachelor's in Business, Marketing, or related field; analytical skillsBachelor's in Statistics, Mathematics, or related field; data analysis skills
Work EnvironmentRemote, often within retail, manufacturing, or logistics sectorsRemote, across various industries including finance, healthcare, and tech
Employer & Industry UsageRetailers, logistics companies, e-commerce platformsTech firms, finance companies, healthcare providers
Common Search & ComparisonYesYes

The Remote Variant Analyst primarily focuses on analyzing product variants, inventory, and market trends within retail or logistics sectors. In contrast, a Remote Data Analyst handles broader data sets across multiple industries, providing insights to support business decisions. While both roles require analytical skills and remote work capabilities, their industry focus and specific responsibilities differ.

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

To thrive as a Remote Variant Analyst, you need a background in genetics or bioinformatics, strong analytical skills, and experience interpreting genetic variant data, usually supported by a relevant degree. Familiarity with genomic analysis tools (such as GATK, VEP, or IGV), data visualization platforms, and variant databases is crucial, along with knowledge of HIPAA compliance for handling sensitive data remotely. Excellent attention to detail, problem-solving abilities, and clear communication are essential soft skills for collaborative interpretation and reporting. These skills and qualities are vital to ensure accurate variant analysis, effective remote teamwork, and the delivery of reliable genetic insights for patient care or research.

What is a Remote Variant Analyst?

A Remote Variant Analyst is a professional who works from a remote location to analyze genetic variants, often using bioinformatics tools and databases. Their main responsibilities include interpreting genetic data, identifying mutations, and assessing their potential impact on health or disease. They collaborate with geneticists, clinicians, and research teams to provide insights that support diagnostics, research, or personalized medicine. Typically, they have a background in genetics, molecular biology, or bioinformatics, and are skilled in data analysis and interpretation.

How does a Remote Variant Analyst typically collaborate with laboratory and clinical teams when working off-site?

As a Remote Variant Analyst, you’ll frequently interact with laboratory scientists and clinical geneticists via digital communication tools such as secure email, video conferencing, and laboratory information management systems. Although you may not be physically present in the lab, you will participate in regular virtual meetings to discuss complex genetic findings, clarify sample data, and review variant interpretations. Effective communication skills and proactive coordination are key, as you often need to ensure timely and accurate reporting while maintaining strong professional relationships with on-site team members.
More about Remote Variant Analyst jobs
What cities are hiring for Remote Variant Analyst jobs? Cities with the most Remote Variant Analyst job openings:
What are the most commonly searched types of Variant Analyst jobs? The most popular types of Variant Analyst jobs are:
What states have the most Remote Variant Analyst jobs? States with the most job openings for Remote Variant Analyst jobs include:
What job categories do people searching Remote Variant Analyst jobs look for? The top searched job categories for Remote Variant Analyst jobs are:
Remote Variant Analyst jobs near you
Infographic showing various Remote Variant Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.
Principal Scientist Algorithm Lead

Principal Scientist Algorithm Lead

NeoGenomics Laboratories

Remote

Full-time

Medical, Retirement, PTO

Posted 19 days ago

NeoGenomics rating

8.0

Company rating: 8.0 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

41st of 105 rated laboratories

Job description

Description
Are you motivated to participate in a dynamic, multi-tasking environment? Do you want to join a company that invests in its employees? Are you seeking a position where you can use your skills while continuing to be challenged and learn? Then we encourage you to dive deeper into this opportunity.
We believe in career development and empowering our employees. Not only do we provide career coaches internally, but we offer many training opportunities to expand your knowledge base! We have highly competitive benefits with a variety HMO and PPO options. We have company 401k match along with an Employee Stock Purchase Program. We have tuition reimbursement, leadership development, and even start employees off with 16 days of paid time off plus holidays. We offer wellness courses and have highly engaged employee resource groups. Come join the Neo team and be part of our amazing World Class Culture!
NeoGenomics is looking for a Principal Scientist Algorithm Lead - Clinical NGS Diagnostics who wants to learn to continue to learn in order to allow our company to grow. This is a remote position.
Now that you know what we're looking for in talent, let us tell you why you'd want to work at NeoGenomics:
As an employer, we promise to provide you with a purpose driven mission in which you have the opportunity to save lives by improving patient care through the exceptional work you perform. Together, we will become the world's leading cancer reference laboratory.
Position Summary:
As the Principal Scientist Algorithm Lead you will provide end-to-end scientific and technical leadership for clinical-grade NGS diagnostic algorithms, with a primary focus on oncology and liquid biopsy applications. This role owns algorithm design, analytical validation, design control, and regulatory readiness, with an emphasis on improving sensitivity, robustness, and reproducibility across complex variant classes.
Responsibilities:
  • Own the full lifecycle of clinical NGS algorithms under design control, including requirements definition, risk analysis, traceability to analytical claims, and design change impact assessment.
  • Architect and lead automated analytical validation frameworks spanning accuracy, precision, sensitivity/LOD, specificity, linearity, and robustness for SNVs, indels, CNVs, structural variants, gene fusions, and RNA-based assays.
  • Define algorithm-level error models, performance budgets, and acceptance criteria, driving systematic improvements in low-VAF detection, background suppression, and assay-specific artifact mitigation.
  • Establish statistically rigorous approaches for truth set construction, reference materials, in silico mixing, and synthetic data generation to support scalable and reproducible validation.
  • Serve as final technical authority on algorithm changes, including re-validation scope, documentation strategy, and regulatory impact.
  • Lead development and optimization of variant calling and signal extraction algorithms for DNA- and RNA-based assays, including ultra-deep sequencing and challenging genomic regions.
  • Develop and track NGS-based quality control metrics at the read, molecule, sample, and assay levels (e.g., coverage, uniformity, duplication/UMI yield, error rates, contamination, noise profiles) to monitor analytical performance and stability.
  • Apply probabilistic modeling, Bayesian inference, and machine learning to improve sensitivity and specificity while maintaining interpretability and regulatory defensibility.
  • Lead algorithm development for solid tumor and hematologic malignancy profiling, including tissue and liquid biopsy use cases.
  • Address challenges specific to low-input DNA/RNA, fragmented cfDNA, and ultra-low-allele-frequency variants.
  • Translate algorithm behavior and QC performance into clear, testable analytical claims aligned with CLIA, CAP, FDA, NYDoH, CLSI, and MolDx expectations.
  • Author and review algorithm components of validation reports, design history documentation, and regulatory submissions.

Education, Experience & Qualifications:
  • PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
  • 8+ years of experience developing algorithms for clinical NGS diagnostics, ideally in oncology.
  • Deep expertise in SNV/indel, CNV, SV, fusion, and RNA analysis, NGS QC metrics, statistical modeling, and analytical performance evaluation.
  • Demonstrated leadership in analytical validation and regulatory submissions (CLIA, CAP, FDA, NYDoH, MolDx).
  • Hands-on experience applying AI/ML methods to NGS data or biomarker development.
  • Expert programming skills in Python and R; strong understanding of workflow orchestration and validation automation.
  • Strong publication or presentation record in computational genomics or NGS diagnostics.
  • Experience building QC-driven, highly automated validation pipelines with rigorous statistical controls.
  • Familiarity with payer evidence and reimbursement considerations for molecular diagnostics.

All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.
Pay Range (will vary based on location & experience) $151,000.00 - 261,000.00 Annually, Plus Bonus
In all instances, the salary paid will satisfy minimum salary laws.

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