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 and ML for Healthcare
- Work with System’s medical advisory staff to drive evaluation and clinical validation of System’s AI products and synthesize qualitative and quantitative insights to inform product and platform improvements
- Lead initiatives to design, and implement benchmarking frameworks to evaluate the performance, robustness, efficiency and clinical applicability of algorithms, models, and systems
- Develop and maintain evaluation metrics tailored to specific domains (e.g., NLP, computer vision, multi-modal systems, distributed systems)
- Collaborate with cross-functional teams (researchers, engineers, product managers, medical staff) to define success criteria and validate new methods or architectures
- Draft white papers and peer-reviewed publications (and other technical communication) to highlight technical contributions and clinical impact of System’s products and platform
- 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:
- M.S. or Ph.D. in Computer Science, Electrical Engineering, Statistics, or a related field; or equivalent industry experience.
- Expertise in at least one major programming language (e.g., Python, C++, or Java), as well as strong experience with relational databases
- Familiarity with ML/DL model evaluation (e.g., accuracy, F1, BLEU, ROUGE, fairness metrics, latency) and human-in-the-loop processes
- Experience with benchmarking tools, evaluation libraries, and relevant frameworks (e.g., HuggingFace, OpenAI Evals, MLPerf, SciKit-learn, TensorFlow Model Analysis, or custom pipelines).
- Strong expertise in scientific methods, experimental design, statistical analysis, and evaluation methodology.
- Experience applying machine learning models to very large, complex datasets
- Experience with common machine learning frameworks, NLP and LLM toolkits
- Excellent communication and collaboration skills, with a proven ability to communicate results clearly to technical and non-technical audiences.
- Strong problem-solving abilities and attention to detail
- Ability to be flexible, rational and open-minded
- Startup experience
The salary range for this position is $200,000 to $220,000 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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