Join Us

Saykara offers a fast-paced startup experience in a fun and flexible work environment. We provide a unique opportunity to work with an experienced team of product leaders and entrepreneurs to solve meaningful problems.  We offer a competitive compensation package with salary, stock options and full healthcare benefits.

Want to be part of the healthcare revolution? We're looking for passionate individuals who like to think big and challenge the status quo. Check out one of our openings below or email us at jobs@saykara.com.

In Seattle

We are based in downtown Seattle with easy access to the great outdoors (hiking, boating, skiing) and a safe and welcoming urban environment with great food and entertainment.

A Fun Culture

The team of 30, and growing, is about having fun.  Whether it is the relaxed, easygoing atmosphere, the daily ping pong tournaments, or the chili bake offs, we succeed because people enjoy being at Saykara.

Benefits

Job Postings

Integration Engineer

We are looking for a talented individual who has expertise in architecting and building interfaces to Electronic Health Record systems. The ideal candidate must be passionate and self-driven with industry experience with interface standards used with large EHR platforms such as Allscripts, Cerner, Epic and other EHRs. The individual will be responsible for designing, configuring and implementing various interfaces and medical data integration connecting EHR systems with our cloud based platform.

We care most about finding people who are sharp, dream big, and are enthusiastic about building solutions that solve real problems for real people.  That said, the ideal candidate will have:

  • A Bachelor’s degree in a relevant discipline: Information Science, Computer Science or industry equivalent.
  • Excellent written and verbal communication skills
  • Experience working with internal technical resources as well as external vendors and clients
  • Expertise in developing interfaces with one or more of the major EHR systems
  • Development experience with HL7 and FHIR/C-CDA
  • Experience with Mirth Connect or similar products
  • Expertise in developing and using APIs and Web Services (REST and SOAP)
  • Knowledge of physician workflow and medical documentation
  • Experience with Linux environments
  • Experience with robotic process automation tools (RPAs) a plus
  • Development experience with node.js a plus
  • Experience in Agile development environments a plus
  • Experience with networking, security and systems administration (devops) a plus

Epic is a registered trademark of Epic Systems Corporation.

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Customer Success Leads

We’re looking for passionate, motivated and ambitious individuals to define, manage and lead key (post-sale) product implementation and support functions for our top customers. This is an important cross-functional leadership role where you will be required to work collaboratively with internal and external teams to develop and execute sustainable and scalable product implementation programs for our customers.

We care most about finding people who are sharp, dream big, and are enthusiastic about building solutions that solve real problems for real people.  That said, the ideal candidate will have:

  • 5-7 years of project/program management, business operations, technical consulting or implementation experience, preferably in the healthcare IT space
  • Hands-on experience in managing and leading large, complex, multi-faceted projects in the enterprise B2B or SaaS space

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NLP / Machine Learning Engineers

We are looking for talented NLP and machine learning experts to help build our virtual assistant. The ideal candidate must be passionate and self-driven, familiar with the latest work on natural language processing, and able to take ownership of key components of the Saykara virtual assistant. 

We care most about finding people who are sharp, dream big, and are enthusiastic about building solutions that solve real problems for real people.  That said, the ideal candidate will have:

  • A PhD or Masters degree in relevant machine learning or natural language processing discipline: Computational Linguistics, Applied Mathematics, Statistics, Computer Science/Engineering
  • Competency with and understanding of recent advances in NLP: word vectors, RNNs, LSTMs, attention as well as experience with some of the leading machine learning libraries

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