AI Omics Scientist III
Compensation:
$130,000 - $170,000 per year. You are eligible for a Short-Term Incentive Plan with the target at 10% of your annual earnings; terms and conditions apply.
AI Omics Scientist III – Remote PST
The AI Omics Scientist III is a senior-level contributor responsible for leading the development of scalable AI/ML solutions in support of complex genomic and multi-omics research. This role integrates deep learning, advanced statistical modeling, and biomedical interpretation to accelerate insights in diagnostics, therapeutic development, and clinical decision-making. You will work cross-functionally with scientists, engineers, and clinical teams to design models and deploy them within high-performance computing environments.
Essential Functions
• Lead the design and development of machine learning models for omics analysis and clinical AI tools
• Drive integration of AI with multi-omics datasets, including genomics, transcriptomics, proteomics, and clinical phenotypes
• Apply deep learning architectures (CNNs, RNNs, transformers, LLMs) for predictive and generative analysis
• Contribute to production-ready deployment of models using MLOps and cloud-native tools
• Mentor junior scientists, guide project direction, and ensure scientific rigor in AI-driven research
• Publish high-impact findings and collaborate with external partners on AI method development
• Ensure reproducibility and interpretability of models in a regulatory and clinical context (e.g., CAP, CLIA)
• Collaborate with software engineering teams to scale tools to production and integrate with user-facing platforms
• This position may serve as a technical lead or project owner. While it does not have direct reports, it includes mentoring of junior scientists and cross-functional project coordination
• Other duties as assigned
Qualifications
• PhD in Computational Biology, Bioinformatics, AI/ML, or a related field with 4+ years of post-degree experience, or MS with 6+ years of relevant experience
• Strong grounding in omics technologies (e.g., RNA-seq, WGS, single-cell, proteomics) and biomedical informatics
• Deep understanding of machine learning theory, statistical modeling, and biological interpretation
• Expert in Python and advanced ML frameworks (e.g., PyTorch, TensorFlow, JAX, HuggingFace)
• Proficiency with GPU-based model training, performance tuning, and distributed learning frameworks
• Experience in MLOps tools (MLflow, DVC), containerization (Docker, Kubernetes), and cloud platforms (AWS/GCP)
• Deep knowledge of omics-specific processing pipelines and tools (e.g., GATK, Nextflow, Snakemake)
• Experience with foundational models (e.g., BERT, BioBERT, GPT, AlphaFold, or domain-adapted LLMs)
• Familiarity with HIPAA-compliant and regulated environments
• Strong communication skills for both technical and cross-disciplinary collaboration
• 5+ years applying AI/ML in bioinformatics, biomedical, or healthcare domains
• Experience leading AI research initiatives or clinical deployment efforts
• Track record of peer-reviewed publications, conference presentations, or open-source contributions
• Strong interdisciplinary collaboration across data science, software, and clinical domains
PRIVACY NOTICES
To review Ambry’s Privacy Notice, Click here: https://www.ambrygen.com/legal/privacy-policy
To review the California privacy notice, click here: California Privacy Notice | Ambry Genetics
To review the UKG privacy notice, click here: California Privacy Notice | UKG
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.
Apply Now
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$130,000 - $170,000 per year. You are eligible for a Short-Term Incentive Plan with the target at 10% of your annual earnings; terms and conditions apply.
AI Omics Scientist III – Remote PST
The AI Omics Scientist III is a senior-level contributor responsible for leading the development of scalable AI/ML solutions in support of complex genomic and multi-omics research. This role integrates deep learning, advanced statistical modeling, and biomedical interpretation to accelerate insights in diagnostics, therapeutic development, and clinical decision-making. You will work cross-functionally with scientists, engineers, and clinical teams to design models and deploy them within high-performance computing environments.
Essential Functions
• Lead the design and development of machine learning models for omics analysis and clinical AI tools
• Drive integration of AI with multi-omics datasets, including genomics, transcriptomics, proteomics, and clinical phenotypes
• Apply deep learning architectures (CNNs, RNNs, transformers, LLMs) for predictive and generative analysis
• Contribute to production-ready deployment of models using MLOps and cloud-native tools
• Mentor junior scientists, guide project direction, and ensure scientific rigor in AI-driven research
• Publish high-impact findings and collaborate with external partners on AI method development
• Ensure reproducibility and interpretability of models in a regulatory and clinical context (e.g., CAP, CLIA)
• Collaborate with software engineering teams to scale tools to production and integrate with user-facing platforms
• This position may serve as a technical lead or project owner. While it does not have direct reports, it includes mentoring of junior scientists and cross-functional project coordination
• Other duties as assigned
Qualifications
• PhD in Computational Biology, Bioinformatics, AI/ML, or a related field with 4+ years of post-degree experience, or MS with 6+ years of relevant experience
• Strong grounding in omics technologies (e.g., RNA-seq, WGS, single-cell, proteomics) and biomedical informatics
• Deep understanding of machine learning theory, statistical modeling, and biological interpretation
• Expert in Python and advanced ML frameworks (e.g., PyTorch, TensorFlow, JAX, HuggingFace)
• Proficiency with GPU-based model training, performance tuning, and distributed learning frameworks
• Experience in MLOps tools (MLflow, DVC), containerization (Docker, Kubernetes), and cloud platforms (AWS/GCP)
• Deep knowledge of omics-specific processing pipelines and tools (e.g., GATK, Nextflow, Snakemake)
• Experience with foundational models (e.g., BERT, BioBERT, GPT, AlphaFold, or domain-adapted LLMs)
• Familiarity with HIPAA-compliant and regulated environments
• Strong communication skills for both technical and cross-disciplinary collaboration
• 5+ years applying AI/ML in bioinformatics, biomedical, or healthcare domains
• Experience leading AI research initiatives or clinical deployment efforts
• Track record of peer-reviewed publications, conference presentations, or open-source contributions
• Strong interdisciplinary collaboration across data science, software, and clinical domains
PRIVACY NOTICES
To review Ambry’s Privacy Notice, Click here: https://www.ambrygen.com/legal/privacy-policy
To review the California privacy notice, click here: California Privacy Notice | Ambry Genetics
To review the UKG privacy notice, click here: California Privacy Notice | UKG
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.
Apply Now
Apply Now