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Bioinformatics Genetics 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 ...

Scisco Genetics

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Bioinformatics Scientist / Genomic Data Analyst

Seattle, WA · On-site

$95K - $115K/yr

Investigate genetic contributors to human immune response, including HLA variation, immune receptor ... PhD in bioinformatics, computational biology, human genetics, genomics, immunology, biostatistics ...

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MyOme

Bioinformatics Software Engineer

San Francisco, CA · On-site

$130K - $160K/yr

MyOme's mission is to provide clinically actionable genetic information to patients throughout ... As a Bioinformatics Software Engineer, you will build scalable, cloud-based pipelines that power ...

MyOme

Bioinformatics Scientist

Menlo Park, CA

$120K - $150K/yr

MyOme's mission is to provide clinically actionable genetic information to patients throughout ... We are looking for an experienced bioinformatician or data scientist with a strong background in ...

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How much do bioinformatics genetics jobs pay per year?

As of Jun 4, 2026, the average yearly pay for bioinformatics genetics in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is a Bioinformatics Genetics job?

A Bioinformatics Genetics job involves analyzing genetic data using computational tools and techniques. Professionals in this field use bioinformatics methods to study DNA, RNA, and protein sequences to identify variations, mutations, and their biological implications. They work with large datasets, develop algorithms, and apply machine learning to interpret genetic information. These roles are common in research institutions, healthcare, pharmaceuticals, and biotechnology companies. The goal is to advance personalized medicine, genetic research, and disease understanding through computational analysis.

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

To thrive as a Bioinformatics Genetics professional, you need a strong background in genetics, computational biology, and data analysis, typically supported by a degree in bioinformatics, molecular biology, or a related field. Proficiency with programming languages such as Python or R, experience with genomic databases, and familiarity with bioinformatics tools like BLAST or GATK are highly valued. Excellent problem-solving skills, attention to detail, and effective communication are important soft skills for success in interdisciplinary teams. These qualifications enable accurate analysis and interpretation of complex genetic data, contributing to advances in research and healthcare applications.

What are some typical projects or daily responsibilities for a Bioinformatics Genetics professional?

As a Bioinformatics Genetics professional, your typical responsibilities include analyzing and interpreting large-scale genetic or genomic datasets, developing custom data processing pipelines, and collaborating with researchers to design experiments or translate findings into actionable insights. You may work closely with scientists, clinicians, or IT specialists to ensure data quality and integrate results into broader research or clinical projects. Daily work often involves script coding, running computational analyses, and staying up to date with the latest advances in bioinformatics methods. This dynamic role offers a blend of independent work and team collaboration, fostering both technical and scientific growth.
More about Bioinformatics Genetics jobs
What are the most commonly searched types of Bioinformatics Genetics jobs? The most popular types of Bioinformatics Genetics jobs are:
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What job categories do people searching Bioinformatics Genetics jobs look for? The top searched job categories for Bioinformatics Genetics jobs are:
Bioinformatics Genetics jobs near you
Infographic showing various Bioinformatics Genetics job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 97% Full Time, 1% Temporary, and 1% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.
Lead Bioinformatics AI Scientist

Lead Bioinformatics AI Scientist

Baylor Genetics

Remote

Full-time

Posted 2 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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