Bioinformatics Scientist / Computational Biologist

Bioinformatics Scientist / Computational Biologist

Location: Singapore or San Francisco Bay Area (San Carlos, CA)

Full Time

Engine Biosciences is a venture-backed biotechnology company discovering and developing novel therapeutics and precision medicines, utilizing a proprietary platform that integrates massively parallel biological experimentation with data science, machine learning and AI. Led by scientific experts from MIT, Harvard, Mayo Clinic and UCSD, and successful drug developers, informaticians, and company builders, Engine is working on multiple programs and therapeutic areas and growing rapidly across US and Asia.

The Bioinformatics & Data Scientist will analyze multi-dimensional biological and genomics data, enhance algorithms and develop novel methods for the utilization in Engine’s analytics platform that combines advanced system biology analytics with genomics data science and machine learning for accelerated drug discovery and biomarker identification. The successful candidate will bring hands-on experience in bioinformatics, algorithm development, in-silico drug discovery, data science, machine learning and cloud compute. As a Bioinformatics and Data Scientist, you will collaborate globally with Engine’s teams and external partners in Asia, US and EU.

Minimum Requirements

  • Ph.D. in Bioinformatics / Statistical Genetics / Machine Learning / AI, or related field.

  • Experience in bioinformatics, genomics data analysis, algorithm development and machine learning.

  • Experience in cloud based (e.g. AWS) data science.

  • Programming skills in Python, AngularJS, Node.js., Java. R., Matlab, SQL and NoSQL dbs.

  • Agile development methodologies such as SCRUM and Kanban.

  • Strong communication and global collaboration skills

Desired Skills & Experience

  • Hands-on industry experience in Next Generation Sequencing (NGS) and multi-dimensional omics data analysis, algorithm development and machine learning in application for drug discovery and biomarker identification.

  • Real time analytics, predictive models, classification, in-silico validation, queries and visualization of high throughput biological data.

  • Strong peer reviewed publication record in bioinformatics, data science and machine learning.

  • Experience in biological interpretation, pathway analysis and disease biology.

  • Amazon Web Services (AWS) experience including DevOps, Security, VPC, EC2, EMR, Docker, SPARK, ElasticSearch, Lambda, Redshift, and Amazon Machine Learning (TensorFlow, MXNet). 

  • Experience working across multiple time zones with executive leadership, scientists and engineers.

Apply Now

To apply, please e-mail your CV to