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Jobs at Parexel

Are you ready to make your mark in the healthcare industry by taking your work seriously, demonstrating empathy, and acting With Heart®? When our values align, there's no limit to what we can achieve. We work with the top 50 global pharmaceutical companies, the top global biotech companies, and hundreds of small and emerging companies. We've supported the development of some of the most important treatments of our time, including nearly all of the 50 top-selling drugs currently on the market. Join us and you'll make a profound difference in millions of lives. We're not just the people with expertise, we're the people With Heart®.

Senior Machine Learning Platform Engineer

Job ID 73212BR USA - Any Region - Home Based
"This role is apart of Parexel AI Labs where we are building a remote-first team of top engineers, machine learning experts, and clinicians to build full-stack software to help make drugs safer, more effective and in the patients hands more quickly. This team will challenge you while working with an incredible group of people dedicated to the important mission we believe in, while giving you a lot of ownership quickly." -- Head of Machine Learning Services at Parexel AI Labs

The Machine Learning Platform Engineer will help architect and develop diverse facets of Parexel’s software platform and data infrastructure to facilitate creating and maintaining robust, large-scale machine learning systems, and responsive web applications. Providing expertise in large scale data processing and/or machine learning infrastructure, the ML Platform Engineer works with the team of software engineers and machine learning scientists to develop use cases to innovate solutions for Parexel clients and patients. This role works autonomously with a high degree of ownership to solve novel technical problems.

#ParexelAILabs

Qualifications

Skills:
  • Ability to architect and implement scalable distributed data systems
  • Ability to rapidly read, write, modify, and refactor well-architected code and tests
  • Ability to debug software up and down the stack, from software bugs to performance issues to network issues to kernel panics
  • Excellent in collaborative software engineering, and able to hold respectful and opinionated technical discussions and debates
  • Ability to work and prioritize autonomously in a fast-moving, distributed work environment
  • Ability to design infrastructure, standards, and code interfaces that garner wide organic adoption among a group of elite software engineers
  • Strong familiarity with modern software development practices, particularly data processing and server-client or web software
  • Strong foundation in modern software languages, preferably Python and its ecosystem, and ability to quickly learn any programming language or DSL required
Knowledge and Experience:
  • Significant experience with Python at a SaaS company, or ability to quickly learn industrial Python
  • Familiarity with multiple asynchronous data processing patterns with robust monitoring, logging and reliability
  • Experience working on AWS stack
  • Experience with build and CI/CD systems
  • Experience designing fluent API endpoints
  • Experience debugging and improving performance of web services and asynchronous processes
  • Strong grasp of relational and non-relational databases, algorithms, object-oriented, and functional design
  • Ability and comfort serving as a subject matter expert responsible for making key architectural and infrastructure decisions
  • Other beneficial but optional experience:
    • Experience packaging and deploying docker based applications on Kubernetes
    • Prior work with PostgreSQL, ElasticSearch, neo4j
    • Experience with Terraform and Ansible
    • Familiarity with modern machine learning and natural language processing techniques and frameworks
    • Experience working with data system in a highly regulated environment (HIPAA, PCI, GDPR, GxP, etc)
    • Experience working in healthcare and life sciences
Employment is contingent on disclosure of your COVID-19 vaccination status and, if relevant, proof of vaccination.

EEO Disclaimer

Parexel is an equal opportunity employer.  Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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