Research Scientist/Research Engineer

New York City, Remote

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System

System is a free, open, and living public resource that aims to explain how anything in the world is connected to everything else.

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Welcome systems thinkers. System builds software to help the world see and solve anything as a system, starting in healthcare. We are a Public Benefit Corporation driven by purpose and shaped by values. We hire systems thinkers who are motivated by our purpose, share our values, and have the skills to advance our mission. 

We are seeking a highly skilled Research Scientist/Engineer to join our team. The ideal candidate will have a strong technical background in machine learning, extensive work experience with clinical healthcare data, and a working knowledge of producing Real-World Evidence using data from Electronic Health/Medical Records. You will work closely with other engineers and scientists on the team to design and implement solutions to difficult applied problems. This is a role for someone who is ready to make an impact on the future of science and data. This person will report to the Director of AI and Engineering.

 

As Research Scientist/Engineer, you will:

  • Work on cutting edge solutions in healthcare data modeling and contribute to innovation in AI/ML for Healthcare
  • Keep abreast of the latest developments in the field of machine learning, and work with engineers to incorporate these developments into our technology stack
  • Develop leadership skills and help to foster a culture of collaboration and continuous learning
  • Influence culture and shape a rapidly growing startup

The ideal candidate has:

  • Bachelor's or Master's degree in Computer Science, Engineering, Information Science, or a related field
  • Experience with Python and SQL
  • Experience with common machine learning frameworks and libraries
  • Experience applying machine learning models to very large, complex datasets
  • Excellent communication and collaboration skills
  • Strong problem-solving abilities and attention to detail
  • Ability to be flexible, rational and open-minded

Bonus if the candidate has:

  • Advanced degree in biostatistics, econometrics, machine learning, or a related field
  • Experience generating real-world evidence from electronic medical record (EMR) data
  • Familiarity with machine learning-based entity resolution, especially in healthcare
  • Familiarity with Natural Language Processing (NLP) and/or Large Language Models (LLMs)
  • Startup experience

The salary range for this position is $160,000 to $190,000 per year.

 

About System

We aspire to help the world see itself differently and build a more responsible and values-driven model of a tech company. We are backed by top-tier VCs in Silicon Valley and New York and leading angel investors and founded by the former VP Data at Spotify. To learn more about what motivates our social mission, we invite you to read our blog here.

We believe in the power of autonomous, interdisciplinary, and diverse teams; in agile development; and in leading with values, first principles, and clear high-level priorities backed by data.  We believe in cultivating a growth mindset for our team — always learning, improving, being challenged, and having opportunities for professional and personal development.

System Inc. is an equal opportunity employer. We are proud to foster a workplace, in person and online, free from discrimination. We strongly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and a better product for our users. We are committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Job applicants must be legally authorized to work in the United States of America and must maintain ongoing work authorization during employment.

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Tags: Agile Biostatistics Computer Science Econometrics Engineering LLMs Machine Learning ML models NLP Python Research SQL

Perks/benefits: Career development Flex hours Startup environment

Regions: Remote/Anywhere North America
Country: United States

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