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Trainee Variant Curation Scientist Jobs (NOW HIRING)

Research Asst 3 - ON SITE

Nashville, TN ยท On-site

$18.50 - $25.50/hr

... of both standard and variant results. Working under minimal supervision, you will have the ... Curation of the specimen biorepository, including continuous management and concerted staging of ...

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Trainee Variant Curation Scientist information

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$38

$54

How much do trainee variant curation scientist jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for trainee variant curation scientist in the United States is $38.99, according to ZipRecruiter salary data. Most workers in this role earn between $33.89 and $42.55 per hour, depending on experience, location, and employer.

What does a Trainee Variant Curation Scientist do?

A Trainee Variant Curation Scientist assists in the interpretation of genetic variants, often as part of a clinical or research laboratory team. Their main responsibilities include analyzing DNA sequencing data, researching scientific literature, and classifying genetic variants according to established guidelines (such as ACMG/AMP). Under supervision, they learn to use bioinformatics tools and databases to assess the significance of genetic changes and help generate reports that inform patient care or research outcomes. This role is foundational for individuals seeking to develop expertise in genomic medicine and variant analysis.

What are some common challenges faced by Trainee Variant Curation Scientists, and how can they be addressed?

Trainee Variant Curation Scientists often encounter challenges such as interpreting complex genetic data, staying current with rapidly evolving guidelines, and distinguishing between benign and pathogenic variants. To address these, trainees benefit from strong mentorship, frequent collaboration with experienced scientists, and participation in regular case discussions. Utilizing established databases and adhering to standardized protocols also helps ensure accuracy and consistency in variant interpretation.

What is the difference between Trainee Variant Curation Scientist vs Variant Curation Scientist?

AspectTrainee Variant Curation ScientistVariant Curation Scientist
Required CredentialsTypically entry-level, often requiring a relevant degree in genetics, biology, or related fieldUsually requires more experience or advanced degrees, with some certifications preferred
Work EnvironmentTraining setting, supervised tasks, learning-focusedIndependent work, responsible for curation and interpretation of variants
Employer & Industry UsageCommon in biotech, research institutions, and diagnostic labs during training phasesFull-time role in similar settings, with increased responsibilities

The main difference is that a Trainee Variant Curation Scientist is in a learning or entry-level phase, focusing on developing skills under supervision, whereas a Variant Curation Scientist is a more experienced professional responsible for interpreting genetic variants independently.

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

To thrive as a Trainee Variant Curation Scientist, you need a solid background in genetics, molecular biology, and bioinformatics, often supported by a relevant bachelor's or master's degree. Familiarity with genomic databases, variant annotation tools, and interpretation guidelines such as ACMG/AMP is typically required. Attention to detail, critical thinking, and strong written communication skills help you accurately assess and report genetic variants. These skills ensure precise variant classification, which is crucial for reliable genetic diagnoses and patient care.
More about Trainee Variant Curation Scientist jobs
What cities are hiring for Trainee Variant Curation Scientist jobs? Cities with the most Trainee Variant Curation Scientist job openings:
What are the most commonly searched types of Variant Curation Scientist jobs? The most popular types of Variant Curation Scientist jobs are:
What states have the most Trainee Variant Curation Scientist jobs? States with the most job openings for Trainee Variant Curation Scientist jobs include:
Infographic showing various Trainee Variant Curation Scientist job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 86% In-person, 3% Hybrid, and 11% Remote job distribution, with an average salary of $81,095 per year, or $39 per hour.

Artificial Intelligence SME

Tunnell Government Services

Washington, DC โ€ข On-site

Other

Posted 19 days ago


Job description

Artificial Intelligence SME
A Subject Matter Expert (SME) in artificial intelligence with a focus on healthcare and biomedical research is needed to provide contracted support to the Biomedical Advanced Research and Development Authority (BARDA), within the U.S. Department of Health and Human Services (HHS) in Washington, DC. The mission of BARDA is to develop and procure medical countermeasures (MCM) that address the public health and medical consequences of chemical, biological, radiological, and nuclear (CBRN) accidents, incidents and attacks, pandemic influenza, and emerging infectious diseases. Specifically, BARDA supports the advanced development and procurement of drugs, vaccines and other products that are considered priorities for national health security. For more information on BARDA please visit their website at: http://www.phe.gov/about/BARDA/Pages/default.aspx
Specifically, this individual will provide strategic, technical, and scientific expertise on the application of artificial intelligence (AI), machine learning (ML), and advanced data analytics to BARDA's mission of developing and procuring medical countermeasures (MCMs) for public health emergencies. The AI SME will advise leadership, program managers, and technical teams on the integration of AI technologies across BARDA's programs, ensuring the agency remains at the forefront of innovation in biodefense, pandemic preparedness, and health security.

Major Duties & Responsibilities:

  • Advise BARDA leadership on emerging trends, opportunities, and risks in AI and related technologies.
  • Provide subject matter expertise to BARDA divisions in evaluating AI-enabled technologies, tools, and proposals.
  • Assess AI approaches used in diagnostics, therapeutics, and vaccines including review of algorithms and algorithm performance
  • Guide the design, implementation, and validation of AI applications to ensure scientific rigor, transparency, and compliance with federal policies.
  • Contribute to the formulation of policies, standards, and ethical frameworks governing AI use within BARDA.
  • Perform expert analysis and provide recommendations for applications of machine learning/artificial intelligence tools and capabilities to field of biotech research and development (e.g. digital health, drug discovery and design, clinical validation).
  • Evaluating diverse data sets for use with AI products/tools, such as EHR, claims, laboratory/clinical data, physiological data, genomic data, viral variant data, and/or social determinants of health data.
  • Advising on improvements to data collection and curation, developing standards, and developing data use and sharing agreements to enable AI applications
  • Advising R&D partnerships developing artificial intelligence products/tools to improve model function, design clinical validation studies, and implement production deployment and maintenance processes.


Requirements:

  • Advanced degree (Ph.D. or M.S) in Computer Science, Data Science, Engineering, Bioinformatics, or a related field
  • Minimum of 8-10 years of experience applying AI/ML in healthcare, biomedical research, or health security contexts
  • Demonstrated expertise in algorithm development, data modeling, and AI governance
  • Demonstrated ability to communicate complex AI concepts to diverse stakeholders
  • Demonstrated experience serving as technical expert and leader in machine learning/artificial intelligence, data analytics, and algorithm development using medical and/or biological data.
  • Demonstrated understanding of software development principles and cloud-based platforms and services relevant to AI development.
  • Expertise in understanding artificial intelligence model function, clinical validation, production deployment, and ongoing maintenance

Must be a US Citizen or Full Green Card holder.