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Jobs at BioDiscovery Inc

Software Engineer (Java/Machine Learning)

Location: El Segundo, CA

Type: Full Time

Min. Experience: Entry Level

BioDiscovery, a software development company in the field of genomic analysis, is looking for talented developers to join its team. BioDiscovery engineers work on problems at the intersection of biology, computer science and machine learning. In this position, you will get a chance to apply statistical algorithms to large genomic data. Your contributions will be used at leading top-tier academic institutions, cancer centers, clinical testing labs, and biopharmaceutical companies who are in pursuit of better diagnosis and treatments for diseases.

Job requirements:

  •           MS or PhD in Computer Science
  •           Experience writing clean, high-performance Java code that scales and performs well
  •           Knowledge of *both* imperative and functional programming paradigms, and understanding of which to use for a set of circumstances. Experience with Scala is a strong plus.
  •           Experience developing concurrent multi-threaded desktop applications.
  •           Experience with machine learning algorithms
  •           Bonus points for experience with genomic data analysis pipelines, biostatistics, NoSQL databases.

Company perks

  •           Competitive salary
  •           Flexible work schedule
  •           Creative office facilities located in El Segundo
  •           Work with a genuinely top-notch team of biologists and software engineers
  •           Small company environment: direct access to the CEO
  •           Established, non-venture-backed, profitable company
  •           You should be creative and innovative by nature, because your ideas will be heard

Local candidates only. 

About BioDiscovery

BioDiscovery offers advanced software solutions for DNA microarray and next-generation sequencing data analytics. We provide a full line of products spanning many aspects of genomic data analysis, with a special emphasis on structural variation, sequence variation, expression analysis, integrated genomics, and big data analytics.  Our applications are delivered to end-user scientists and clinicians, and we efficiently handle large-scale data from all commercial platforms. As genomic-based drug discovery and medical diagnostics further evolve, we continue our history of making a difference in the world of genomic data analysis.

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