Saviance
Bioinformatics ML/AI Engineer
Saviance - Boston, Massachusetts, us, 02298
Work at Saviance
Overview
- View job
Overview
Bioinformatics ML/AI Engineer
Location: Remote- Central Time
Full-Time
About BigRio:
BigRio is a remote-based, technology consulting firm headquartered in Boston, MA. We deliver software solutions from custom development and implementation to data analytics and machine learning/AI integrations. As a one-stop shop, we attract clients from a variety of industries due to our proven ability to deliver cutting-edge, cost-effective software solutions.
Why This Role is Exceptional
This is not your typical ML/AI engineering job! We're seeking a unique blend of in-depth expertise in machine learning, bioinformatics, cloud computing, and clinical data modeling. If you thrive at the intersection of
genomics ,
AI innovation , and
scalable architecture , this role offers a unique opportunity to build transformative solutions in clinical genetic testing.
At the frontier of biotech and technology, you'll help shape the future of personalized medicine by building intelligent systems that interpret the human genome at scale. Your work will directly contribute to improved diagnostics and better patient outcomes, making a real impact with real data.
What Makes You a Great Fit
Education 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. Your Superpowers
Proven experience developing
clinical bioinformatics pipelines -from variant interpretation to automated reporting. Deep hands-on knowledge of
NGS data modeling , human genetics, and multi-omics data applications. Fluency in machine learning frameworks like
Hugging Face
and
TensorFlow , plus AI/GenAI deployment in production settings. Experience building and scaling
RAG-based GenAI applications
(Retrieval-Augmented Generation). Strong scripting abilities in
Python
and
Bash . Command of cloud-native platforms-especially
Azure , including
data lakehouse/warehouse services . Experience with both
SQL and NoSQL databases
and context-aware OCR technologies. DevOps familiarity (CI/CD, unit testing) is a plus. Excellent communication and collaboration skills in fast-paced, cross-functional teams. What You'll Do
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. Leverage advanced
data engineering and AI frameworks
to support internal R&D and client-facing solutions. Collaborate closely with a diverse team of geneticists, software engineers, and IT experts in a
regulated diagnostics
setting.
The Impact
This is a mission-driven role where your technical skills can help decode life itself. You'll be part of a tight-knit team pushing boundaries in precision medicine-applying state-of-the-art AI to data that truly matters.
Full-Time
About BigRio:
BigRio is a remote-based, technology consulting firm headquartered in Boston, MA. We deliver software solutions from custom development and implementation to data analytics and machine learning/AI integrations. As a one-stop shop, we attract clients from a variety of industries due to our proven ability to deliver cutting-edge, cost-effective software solutions.
Why This Role is Exceptional
This is not your typical ML/AI engineering job! We're seeking a unique blend of in-depth expertise in machine learning, bioinformatics, cloud computing, and clinical data modeling. If you thrive at the intersection of
genomics ,
AI innovation , and
scalable architecture , this role offers a unique opportunity to build transformative solutions in clinical genetic testing.
At the frontier of biotech and technology, you'll help shape the future of personalized medicine by building intelligent systems that interpret the human genome at scale. Your work will directly contribute to improved diagnostics and better patient outcomes, making a real impact with real data.
What Makes You a Great Fit
Education 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. Your Superpowers
Proven experience developing
clinical bioinformatics pipelines -from variant interpretation to automated reporting. Deep hands-on knowledge of
NGS data modeling , human genetics, and multi-omics data applications. Fluency in machine learning frameworks like
Hugging Face
and
TensorFlow , plus AI/GenAI deployment in production settings. Experience building and scaling
RAG-based GenAI applications
(Retrieval-Augmented Generation). Strong scripting abilities in
Python
and
Bash . Command of cloud-native platforms-especially
Azure , including
data lakehouse/warehouse services . Experience with both
SQL and NoSQL databases
and context-aware OCR technologies. DevOps familiarity (CI/CD, unit testing) is a plus. Excellent communication and collaboration skills in fast-paced, cross-functional teams. What You'll Do
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. Leverage advanced
data engineering and AI frameworks
to support internal R&D and client-facing solutions. Collaborate closely with a diverse team of geneticists, software engineers, and IT experts in a
regulated diagnostics
setting.
The Impact
This is a mission-driven role where your technical skills can help decode life itself. You'll be part of a tight-knit team pushing boundaries in precision medicine-applying state-of-the-art AI to data that truly matters.