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Build and maintain scalable bioinformatics workflows and tools to analyze proteomics and genomics data, enabling drug discovery and biomarker identification using R, Python, and AI-driven methods.
Develops advanced AI/ML models for early cancer detection using blood-based molecular signals, collaborating with biologists and engineers in a hybrid Brisbane, CA role.
Build and validate clinical endpoints for therapeutics and disease benchmarks, partner with health systems to source clinical data, and ensure regulatory compliance for AI-driven drug programs.
Develops computational models and algorithms to design novel proteins for drug discovery and biotech applications, leveraging AI/ML and structural biology tools.
Design and optimize therapeutic antibodies and proteins using AI-driven structural modeling tools like AlphaFold and Rosetta to accelerate animal-health drug discovery.
Lead Data Scientist in Real World Data analysis for pharmaceutical research, designing observational studies, integrating EMR/EHR data, and applying AI to generate medical evidence and publish findings.
A data scientist in early oncology R&D analyzes large-scale biological datasets (e.g., biobanks, genomics) to identify therapeutic targets, biomarkers, and immune system aging patterns using Python/R, ML, and statistical genetics.
Build software applications to support scientific research and business operations using AWS, React, Python, and Databricks, with a focus on AI-enabled solutions.
Develops and analyzes NGS-based bioinformatics pipelines to advance early cancer detection using cfDNA biomarkers, collaborating with wet-lab and computational teams to refine assays and statistical models for diagnostic products.
Staff Computational Biologist at Freenome designs and executes research for early cancer detection using cfDNA, NGS assay development, and bioinformatics pipelines in Python/R.
Build and maintain digital systems that help researchers design experiments, manage data, and make discoveries in drug development using Python, SQL, and cloud platforms.
Senior Scientist applies machine learning and molecular modeling to design and optimize antibody therapeutics for cancer and immune diseases using protein data and advanced AI methods.
Builds Catalyst, the software platform powering Ginkgo’s automated bioengineering lab, including hardware interfaces, AI agent workflows, scheduling, and data APIs.
Leads software quality assurance for genomic tech products, ensuring compliance with industry standards (e.g., IEC 62304, ISO 13485) and regulatory requirements across the SDLC while collaborating with cross-functional teams to mitigate risks and improve processes.
What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the…
Oversees clinical laboratory operations for cancer diagnostics, ensuring test accuracy and compliance with medical/technical standards. Collaborates cross-functionally to develop, validate, and improve diagnostic solutions using bioinformatics and IT.
Develops and maintains bioinformatics pipelines and multi-omics analysis workflows to support cancer research at the NIH, using Python, R, and cloud platforms.
Oversee bioinformatics and data-driven projects to deliver scalable, compliant genomic analysis platforms, coordinating lab ops, engineering, and clinical teams.
Develops AI-driven predictive models for clinical trial data in computational biology, integrating multi-omic datasets (genomics, transcriptomics, proteomics) to advance precision medicine and drug development at Amgen.
Responsible for development activities, managing scope, budget, and resources to support the development and implementation of eLIMS applications built on Java-based platforms , ensuring alignment with business…
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