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← All postings · August 2015 thread

Karius

Molecular Biology, Software (Full Stack), Computational Biology, Wet-lab Automat

CompanyKarius
Websitekariusdx.com
RoleMolecular Biology, Software (Full Stack), Computational Biology, Wet-lab Automat
Typefull-time
Role taxonomyFull-stack / Product Engineering
SpecialtiesFull-stack
LocationMenlo Park, CA
Salary
Apply viaEmailagibiansky@kariusdx.com
Hiring notes
TechAWSML/AI
Parsed locationsMenlo Park, CA
Posted byPieSquared
PostedAug 3, 2015
SourceView on Hacker News ↗

Original posting

Karius | Menlo Park, CA | ONSITE, Full-time | Molecular Biology, Software (Full Stack), Computational Biology, Wet-lab Automation, Machine Learning We are a team of crazy biologists, engineers, data scientists and clinicians on a mission to change forever the way infectious diseases are diagnosed and treated. We face incredibly interesting challenges in software engineering, machine learning and molecular biology, as we push the limits of diagnostics and genomic technologies. We're hiring molecular biologists, computational biologists, software engineers and data scientists. Join us on the ground-level for this exciting journey to shape our technology, product and company culture. If you're an engineer who's willing to learn about biological problems, or have experience in next-generation sequencing, feel free to contact me directly: agibiansky@kariusdx.com Some of the things we’re looking for in people (not all required): • Comfortable and familiar with both backend and frontend technologies • Able to glide across the stack as needed • Computational genomics / bioinformatics background • Algorithms development background and strong understanding of practical implementation issues • Deep understanding of probabilistic modeling, statistics and data structures Potential responsibilities: • Designing and implementing robust and scalable compute infrastructure on top of AWS • Creating pipelines for analyzing, storing and visualizing complex genomic data. • Research, implementation, and testing of new analysis methods in computational genomics, in particular related to sequence analysis and metagenomics.