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Genetics Scientist Jobs (NOW HIRING)

Baylor Genetics

Lead Bioinformatics AI Scientist

Baylor Genetics is seeking an accomplished and visionary Lead Bioinformatics AI Scientist to advance innovation within the Bioinformatics R&D and Data Science organization. This individual will serve ...

Ambry Genetics

$110K - $114K/yr

Experienced reporting position for individuals, typically genetic counselors or PhD scientists, with clinical laboratory experience. Responsibilities include: interpreting diagnostic test results ...

Ambry Genetics

$110K - $114K/yr

Experienced reporting position for individuals, typically genetic counselors or PhD scientists, with clinical laboratory experience. Responsibilities include: interpreting diagnostic test results ...

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$50.5K

$130.1K

$174K

How much do genetics scientist jobs pay per year?

As of Jun 13, 2026, the average yearly pay for genetics scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What does a Genetics Scientist do?

A Genetics Scientist studies genes, heredity, and DNA to understand how traits are inherited and how genetic variations influence health, diseases, and traits in organisms. They conduct laboratory research, analyze genetic data, and develop new genetic technologies. Their work is applied in fields such as medicine, agriculture, and biotechnology to improve treatments, crop production, and disease prevention.

What does a geneticist scientist do?

A geneticist scientist studies genes, heredity, and genetic variation in humans, animals, or plants. They analyze DNA samples, conduct experiments, and interpret genetic data to understand inherited traits and genetic disorders. This work often involves laboratory techniques and may require specialized knowledge of genetics and molecular biology.

What biology jobs pay over $100k?

In the field of genetics, roles such as senior research scientists, genetic counselors with extensive experience, and biotech project managers often earn over $100,000 annually. These positions typically require advanced degrees, specialized skills, and experience with laboratory techniques, data analysis, or regulatory compliance.

What are the key skills and qualifications needed to thrive in the Genetics Scientist position, and why are they important?

To thrive as a Genetics Scientist, you need a solid background in genetics, molecular biology, and data analysis, usually supported by an advanced degree (Ph.D. or M.S.) in a relevant field. Familiarity with lab techniques such as PCR, DNA sequencing, bioinformatics software, and statistical analysis tools is essential, and certifications in laboratory safety or human subject research may be beneficial. Attention to detail, strong problem-solving abilities, and effective communication skills are critical for success in collaborative and research-driven environments. These skills and qualifications enable Genetics Scientists to conduct rigorous research, interpret complex data, and contribute to scientific advancements in genetics.

Do geneticists get paid well?

Geneticists typically earn competitive salaries that vary based on experience, education, and location. According to industry data, median annual wages often range from $60,000 to over $100,000, with those in research or specialized fields earning higher salaries. Advanced skills, certifications, and working in biotech or healthcare settings can also influence compensation.

What are the typical daily responsibilities of a Genetics Scientist?

Genetics Scientists typically spend their days designing and conducting experiments, analyzing genetic data, and documenting their findings in lab notebooks or formal reports. They often collaborate with multidisciplinary teams that may include biologists, medical professionals, and data analysts to interpret results and advance ongoing research projects. In addition, they may be responsible for maintaining laboratory equipment, adhering to safety protocols, and staying updated on the latest developments in genetic research. These responsibilities ensure the integrity and progress of research while supporting innovative discoveries in the field.

What is the salary of a genetic scientist?

The average salary of a genetic scientist in the United States ranges from $60,000 to $100,000 annually, depending on experience, education, and location. Advanced roles or those with specialized skills in molecular biology or bioinformatics may earn higher salaries, especially in research institutions or biotech companies.
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What cities are hiring for Genetics Scientist jobs? Cities with the most Genetics Scientist job openings:
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Genetics Scientist jobs near you
Infographic showing various Genetics Scientist job openings in the United States as of June 2026, with employment types broken down into 82% Full Time, 7% Part Time, 4% Temporary, and 7% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.
Lead Bioinformatics AI Scientist

Lead Bioinformatics AI Scientist

Baylor Genetics

Remote

Full-time

Posted 11 days ago

Job description

Baylor Genetics is seeking an accomplished and visionary Lead Bioinformatics AI Scientist to advance innovation within the Bioinformatics R&D and Data Science organization. This individual will serve as a scientific and technical leader, driving the design, development, and implementation of advanced AI methods, algorithms, and workflows to enhance Baylor Genetics' clinical testing and genomic data analysis capabilities.
The Lead Bioinformatics AI Scientist will play a central role in AI-powered genomics research and data analysis, focusing on identifying novel AI solutions, training and fine-tuning GenAI models, developing AI applications, and more. The successful candidate will combine deep scientific expertise in genomics, bioinformatics, and AI modeling with strong technical skills in AI/ML algorithm design and data analysis, developing next-generation AI-empowered platforms for clinical-grade genomic analysis.
QUALIFICATIONS:
  • Education:
    • Master's or higher degree (PhD preferred) in Bioinformatics, Machine Learning and AI, Computer Science, Data Science or related quantitative field.
  • Experience:
    • 8+ years of professional experience in bioinformatics, AI application development, machine learning and/or genomic data analysis, including 3-5 years in a principal or leadership role.
    • Hands-on experience in state-of-the-art GenAI application development, LLM model turning, agentic AI, and model context protocol (MCP).
    • Hands-on experience in building and/or adopting novel AI and GenAI solutions for business specific applications, especially in the field of clinical testing and genomic data analysis.
    • Hands-on experience in automated and scalable AI/GenAI application evaluation, development, and deployment in the production environment requiring fast turn-around-time (TAT) and high reliability.
    • Hands-on experience in human genetics/multi-omics data modeling and application development especially in next-generation sequencing data.
    • Hands-on experience in machine learning framework (Huggingface, TensorFlow, PyTorch, etc.).
    • Hands-on experience with scripting language, such as Bash and Python.
    • Strong experience in cloud platform (Azure, AWS, GCP) and data services (data lakehouse/data warehouse).
    • Experience in context-aware OCR.
    • Experience in databases, including SQL and no-SQL.
    • DevOps experience such as unit testing, CI/CD is a plus.
    • Strong curiosity and the ability to learn quickly and adapt to a fast-changing environment.
  • Core Competencies:
    • Strong scientific reasoning and analytical problem-solving skills.
    • Proven ability to lead R&D initiatives from concept through validation and deployment.
    • Deep understanding of genomic data, AI applications, and biological context.
    • Excellent written and verbal communication for technical and clinical translation.
    • Collaborative mindset and ability to work across disciplines.
    • Commitment to innovation, quality, and patient-centered outcomes.

DUTIES AND RESPONSIBILITIES:
  • Serves as the visionary leader in Bioinformatics AI application development in a clinical genetic testing setting. Provides technical guidance and hands-on support towards building company's next-generation bioinformatics AI platform.
  • Identifies, prototypes, and develops state-of-the-art AI applications to revolutionize clinical testing and genomic analysis workflow.
  • Designs, develops, evaluates, and deploys novel AI solutions to gain valuable data insights based on the genetical, phenotypical, and clinical datasets.
  • Evaluates, adopts, and customizes GenAI models based on both internal and external datasets to build next-generation clinical genetic testing platforms.
  • Supports both internal and external data requirements by leveraging AI and GenAI capabilities to keep up with the increasing demands of the business.
  • Collaborates in a multidisciplinary and regulated clinical diagnostics environment with geneticists, bioinformaticians, software engineers, and IT infrastructure professionals

WHY JOIN BAYLOR GENETICS
At Baylor Genetics, you'll join a world-class team dedicated to transforming clinical genomics through scientific excellence and technological innovation. As a Lead Bioinformatics AI Scientist, you'll have the opportunity to drive the development of new AI- and GenAI-empowered approaches that redefine clinical testing, genomics data analysis, and precision diagnostics.
You will collaborate with leading scientists, engineers, and clinicians to deliver discoveries that matter, advancing the frontiers of precision medicine and improving lives through genomic insight.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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