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Position Description The Mayo Clinic Comprehensive Cancer Center in Arizona invites applications for an open-rank faculty position with a commitment to advancing cancer research into clinical impact. Mayo Clinic…
Build and deploy AI/ML models to accelerate antibody discovery, integrating them into lab and computational workflows for Genmab’s research teams.
Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description Bioinformatics Support Scientist – Next-Generation Sequencing (NGS) and Microarray As part of the Thermo Fisher Scientific team, you’ll…
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.
Develop AI/ML models to predict and optimize bead designs for proteomics workflows and diagnostic assays, bridging data science with wet-lab R&D at a global life-science tools company.
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.
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