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Senior Variant Scientist Jobs in Virginia (NOW HIRING)

Apex Systems

Data Scientist Senior

Mclean, VA · On-site

Job#: 3047100 Data Scientist Senior Location: McLean, Virginia (Onsite) Role Overview We are ... Exposure to Snowflake Variant, JSON analytics pipelines, or data lake patterns. * Experience ...

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Senior Variant Scientist information

What is a senior variant scientist?

Senior Variant Scientists are specialized professionals in genetics and genomics who analyze and interpret genetic variants, often from DNA sequencing data. They play a critical role in clinical diagnostics, research, and precision medicine by determining which genetic changes are associated with disease. Their work involves reviewing scientific literature, using bioinformatics tools, and collaborating with clinicians to provide accurate variant classifications. Senior Variant Scientists typically have advanced degrees in genetics or related fields and several years of experience in genetic analysis.

How do senior variant scientists typically collaborate with other teams during the process of variant interpretation and reporting?

Senior Variant Scientists play a pivotal role in multidisciplinary teams by collaborating closely with clinical geneticists, bioinformaticians, and laboratory technicians. They often participate in variant review meetings, contribute expert opinions during case discussions, and help refine protocols for variant classification. Regular communication ensures that data interpretation aligns with clinical guidelines, and that reporting is accurate and actionable. This collaborative environment supports high-quality results and continuous learning, offering opportunities for leadership and cross-functional project involvement.

What are the key skills and qualifications needed to thrive as a senior variant scientist, and why are they important?

To thrive as a Senior Variant Scientist, you need a deep understanding of molecular genetics, genomic data analysis, and variant interpretation, typically supported by a PhD or equivalent experience in genetics or related fields. Proficiency with bioinformatics tools (such as GATK, ANNOVAR, or VEP), next-generation sequencing platforms, and familiarity with clinical databases like ClinVar are crucial. Strong problem-solving, analytical thinking, and effective communication skills distinguish top performers in this role. These competencies are vital for delivering accurate variant assessments that guide clinical decision-making and advance research in genomics.

What are popular job titles related to Senior Variant Scientist jobs in Virginia?

For Senior Variant Scientist jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Senior Variant Scientist jobs in Virginia look for?

The top searched job categories for Senior Variant Scientist jobs in Virginia are:

What cities in Virginia are hiring for Senior Variant Scientist jobs?

Cities in Virginia with the most Senior Variant Scientist job openings:

Senior Variant Scientist jobs near you

Senior Data Scientist

eSolutionsFirst, LLC

Mclean, VA • On-site

Other

Posted 4 days ago

Job description

Senior Data Scientist   

6 Months contract –   extension

McLean , VA – On-site   M-F  

Must Have Qualifications:

  • 7+ years of related experience.
  • Strong expertise in Python, SQL, Image analytics, data modeling, and snowflake.
  • Financial / mortgage background is required.  
Data Scientist – Computer Vision

We are seeking a hands-on Data Scientist with strong Python, Computer Vision, SQL, and data engineering skills to build and operationalize image-based data solutions. The role will focus on image extraction, metadata generation, model-output validation, testing, and structured data integration.

Key Skills:

  • Strong Python and Computer Vision experience with OpenCV, Pillow, PyTorch, or TensorFlow
  • Experience with image processing, object detection, classification, bounding boxes, labels, and confidence scores
  • Strong SQL, JSON, APIs, and semi-structured data experience
  • Experience with model-output testing, validation, debugging, and data quality
  • Ability to validate extracted images and metadata against PDFs and source documents
  • Experience building scripts, pipelines, and reusable utilities for automation and analytics
  • Strong collaboration with Product, Engineering, UI, Data, and Business teams
  • Preferred: Snowflake Variant, mortgage/appraisal data, Freddie Mac/Fannie Mae, OCR, or financial services experience

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