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Remote Variant Curation Scientist Jobs in Nebraska

Mutual of Omaha

Data Scientist - AI Systems

Omaha, NE · On-site +1

$110K - $130K/yr

Remote Categories: Information Technology Data Scientist - AI Systems This role focuses on ... Working knowledge of generative AI concepts and patterns including RAG architectures, data curation ...

Viking Cruises US

$90K/yr

Our remote Inbound Sales Consultants have the earning potential of $80,000 - $190,000 annually ... Demonstrate passion for curating extraordinary travel experiences for high-net-worth guests

All JobsVariant Curation Scientist JobsRemote Variant Curation Scientist JobsRemote Variant Curation Scientist Jobs in Nebraska

Remote Variant Curation Scientist information

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.

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

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 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 most commonly searched types of Variant Curation Scientist jobs in Nebraska? The most popular types of Variant Curation Scientist jobs in Nebraska are:
What are popular job titles related to Remote Variant Curation Scientist jobs in Nebraska? For Remote Variant Curation Scientist jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Remote Variant Curation Scientist jobs in Nebraska look for? The top searched job categories for Remote Variant Curation Scientist jobs in Nebraska are:
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Remote Variant Curation Scientist jobs near you

Data Scientist - AI Systems

Mutual of Omaha

Omaha, NE • On-site, Remote

$110K - $130K/yr

Other

Retirement, PTO

Re-posted 28 days ago

Mutual Of Omaha rating

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Company rating: 8.7 out of 10

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Job description

Data Scientist - AI Systems

Apply now Job no: 504917
Work type: Full Time Regular
Location: Remote
Categories: Information Technology

Data Scientist - AI Systems 

This role focuses on designing, building, and supporting the deployment of AI-powered systems that solve business problems from intelligent agents and conversational interfaces to analytical workflows with a production-first mindset. 

 What We Offer: 

  • Salary: Data Scientist: $110,000-$130,000, plus annual bonus eligibility.
    • Associate Data Scientist: $99,000 - $115,000, plus annual bonus opportunity.
  • Retirement: 401(k) with 2% company contribution and up to 6% match
  • Time Off: Work-life balance with vacation, personal time and paid holidays. See our benefits and perks page for details.
  • Eligibility: Sponsorship is available for this position. 

What You'll Do: 

  • Stakeholder Translation & Technical Spec Design: Partner closely with business stakeholders to extract core needs and translate them into rigorous technical specifications for GenAI-powered systems and their behaviors.  
  • Build & Orchestrate GenAI-Powered Systems: Design, develop, and refine GenAI-powered systems including AI agents, conversational interfaces, and intelligent analytical workflows. Leverage frameworks such as LangGraph and Strands where appropriate, designing stateful, multi-step workflows that navigate complex business logic. Evaluate trade-offs between architectures based on the problem at hand. 
  • Design for Production: Design GenAI solutions with a "production-first" mindset, ensuring Python-based systems are modular, secure, observable, and leverage AWS Cloud platform services. You write production-grade code that follows strict software development standards. 
  • Full-Stack Logic Integration: Ensure seamless flow of data between the backend, the GenAI system, and the UI by collaborating with cloud engineers, data engineers, and UI/UX developers as needed to deliver cohesive end-to-end solutions architected for automated CI/CD pipelines and stable production environments. 
  • Build for Observability: Develop evaluation frameworks and metrics to monitor accuracy, reliability, latency, and cost-effectiveness of GenAI-powered systems and traditional statistical models. Establish guardrails and feedback loops that catch regressions before they reach end users. 
  • R&D with a Production Lens: Conduct focused research and prototyping to evaluate new GenAI patterns and strategies, with the clear expectation of moving from prototype to production efficiently. Know when a solution is ready to ship and iterate in production. 

What You'll Bring: 

  • Graduate degree in an analytical field (Math, Stats, CS, BI, etc.) and 2+ years of experience building GenAI-powered systems such as agents, RAG pipelines, or conversational AI using frameworks like LangGraph, Strands, or similar. You've shipped models or GenAI systems to production, not just built prototypes. 
  • Strong system design and problem-solving skills. Ability to decompose complex, under-defined problems into modular, buildable components and reason through trade-offs such as cost, latency, accuracy, and complexity. 
  • Working knowledge of generative AI concepts and patterns including RAG architectures, data curation for knowledge bases, prompt engineering, tool-use design, memory/state management, and enterprise AI deployment pipelines. 
  • Proficient in Python and SQL, with hands-on experience in AWS Bedrock, SageMaker, and functional understanding of AWS Lambda, AgentCore, Fargate, etc. Experience using GitHub for version control and VS Code for code development with and without Copilot assistance and VS Code for code development with and without Copilot assistance. 
  • Background in ML and statistical analysis, with the ability to validate system outputs against business benchmarks and design evaluations that measure real business outcomes. 
  • Experience designing production-grade solutions that are reliable, secure, and scalable. You know the difference between a demo and a deployed system. 

Preferred Qualifications: 

  • PhD in AI, mathematics, statistics, physics, economics, data science, computer engineering, computer science, operations research, or actuarial science. 
  • Experience with evaluation-driven development using LLM-as-judge, human-in-the-loop review, or structured benchmarks to measure system quality. 
  • Familiarity with front-end technologies like Vue.js, HTML, JavaScript, or Python libraries such asStreamlitorGradiois beneficial but not mandatory. 

 Why Join Us?

Here, your skills spark progress. You'll solve meaningful problems, collaborate with passionate teammates, and grow in a space where innovation is the norm-not the exception.

We value diverse experience, skills, and passion for innovation. If your experience aligns with the listed requirements, please apply! 

If you have questions about your application or the hiring process, email our Talent Acquisition area at careers@mutualofomaha.com. Please allow at least one week from time of applying if you are checking on the status.

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Advertised: Jun 11, 2026 09:00 AM Central Daylight Time
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