Bioinformatics ML/AI Engineer
A company is looking for a Bioinformatics ML/AI Engineer.
Key Responsibilities
Serve as the go-to expert for bioinformatics-driven ML/AI innovation in a clinical genomics environment
Architect and implement next-gen platforms that derive meaningful insights from genomic, phenotypic, and clinical datasets
Evaluate and fine-tune GenAI models, adapting them to real-world healthcare applications
Required Qualifications
Master's degree or higher in Bioinformatics, Computer Engineering, Machine Learning, Data Science, or a related field
5+ years of experience working with genomic data and applied ML/AI
Proven experience developing clinical bioinformatics pipelines from variant interpretation to automated reporting
Deep hands-on knowledge of NGS data modeling and human genetics
Fluency in machine learning frameworks like Hugging Face and TensorFlow
A company is looking for a Bioinformatics ML/AI Engineer.
Key Responsibilities
Serve as the go-to expert for bioinformatics-driven ML/AI innovation in a clinical genomics environment
Architect and implement next-gen platforms that derive meaningful insights from genomic, phenotypic, and clinical datasets
Evaluate and fine-tune GenAI models, adapting them to real-world healthcare applications
Required Qualifications
Master's degree or higher in Bioinformatics, Computer Engineering, Machine Learning, Data Science, or a related field
5+ years of experience working with genomic data and applied ML/AI
Proven experience developing clinical bioinformatics pipelines from variant interpretation to automated reporting
Deep hands-on knowledge of NGS data modeling and human genetics
Fluency in machine learning frameworks like Hugging Face and TensorFlow