Rosalind, Inc. Bioinformatics Engineer San Diego, CA · Remote · Full time

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Every day, ROSALIND empowers Scientists globally to discover life’s unknowns and greatest challenges like COVID, Cancer, and Infectious Diseases through the interpretation of genomic data. We are the innovators, explorers, and dreamers who created the ROSALIND Platform to reinvent and transform the genomic analysis experience for research, clinical and diagnostic markets, so that we all may realize the benefits of Precision Medicine. Our primary customers are Pharmaceutical, Biotech, and Diagnostic firms with broad adoption across academic research institutions. Rather than trying to cure cancer ourselves, we’re passionately building the best platform so that our customers can. We are looking for more passionate people like you, to help lead the way and share our amazing platform with every institution aspiring to make the world a better, healthier place. We’re ambitious, creative, agile, and relentless designers, scientists, engineers, and marketers dedicated to transforming the human experience by unlocking biology’s greatest unknowns.

Job Overview

We are looking for outstanding software developers to join our Software Engineering team. As a BioInformatics Engineer, you will be responsible for developing software for analyzing, managing, and visualizing complex biological data and working closely with our Front-End and Cloud Infrastructure Engineering teams.

Responsibilities And Deliverables

• Build robust and scalable pipelines using ROSALIND workflow language
• Facilitate the development of vivid user interfaces that breakdown the typical complexity of bioinformatics analysis
• Write production-quality end-points to interface bioinformatics pipelines and machine learning algorithms for implementation within the ROSALIND multi-tenant SaaS platform
• Be flexible and passionate about bioinformatics alchemy to support greater discovery into biology’s unknowns through integrative analysis

Requirements

• 5–10 years experience of active development
• PhD (or Master’s degree with 2-5 years industry experience) in Bioinformatics, Computational Biology, Biostatistics, Computer Science or a related field
• Proficiency in using R with strong programming and scripting
• Proficiency with Python
• Experienced in implementing REST and REST-like APIs
• Experience with statistical and mathematical modeling with genomic data
• Experience with building / supporting / using bioinformatic pipelines
• Work collaboratively with other bioinformatics and research scientists and engineers for various projects as appropriate

Stand-out Qualities

• Machine learning experience and mathematical understanding of optimization algorithms, Bayesian statistics and multivariate analysis
• Experience with version control systems (e.g., GitHub)
• Experience building responsive web applications with Angular / JavaScript (Typescript), HTML, CSS
• Proficient in creating D3 visualizations and Canvas on complex data sets
• Worked on a team that has deployed a production web application with a user base of over 200 users