System Inc. · 5 months ago
Research Scientist/Engineer: Healthcare
New York, NY
Full-time
Onsite
Mid, Senior Level
$160K/yr - $190K/yrSystem Inc. is a Public Benefit Corporation focused on innovative software solutions in healthcare. They are seeking a highly skilled Research Scientist/Engineer to work on cutting-edge healthcare data modeling and contribute to advancements in AI/ML for Healthcare.
InternetSoftware
No H1B
Responsibilities
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
Design and implement benchmarking frameworks to evaluate the performance, robustness, and efficiency of algorithms, models, or 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) to define success criteria and validate new methods or architectures
Lead or contribute to experimental design, A/B testing, and statistical analysis of large-scale system behaviors
Analyze performance trade-offs, failure cases, and corner scenarios to improve model and system quality
Author internal technical reports and, where appropriate, contribute to peer-reviewed publications or open-source benchmarks
Stay current with advancements in evaluation methodologies, datasets, and benchmarking best practices in your field
Qualification
Required
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
Experience with common machine learning frameworks, NLP and LLM toolkits
Experience applying machine learning models to very large, complex datasets
Strong expertise in scientific methods, experimental design, statistical analysis, and evaluation methodology
Experience with benchmarking tools, evaluation libraries, and relevant frameworks (e.g., HuggingFace, OpenAI Evals, MLPerf, SciKit-learn, TensorFlow Model Analysis, or custom pipelines)
Familiarity with ML/DL model evaluation (e.g., accuracy, F1, BLEU, ROUGE, fairness metrics, latency) and human-in-the-loop processes
Excellent communication and collaboration skills, with a proven ability to communicate results clearly to technical and non-technical audiences
Understanding of how to push your code 'beyond the notebook', i.e. writing production quality code, API development, containerization, inference at scale
Strong problem-solving abilities and attention to detail
Ability to be flexible, rational and open-minded
Preferred
Experience generating real-world evidence from electronic medical record (EMR) data using LLM-based workflows (entity resolution, normalization, extraction)
Startup experience
Company
System Inc.
We build software to help the world see and solve anything as a system. System Inc. is a Public Benefit Corporation.
Founded in 2017
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$18.75MKey Investors
Wellcome TrustAcrew Capital
2025-12-16Grant· $6.5M
2021-06-01Series A· $12.25M
Leadership Team
Steve Nathan
Chief Financial Officer - Interim
Esther Orudiakumo
Chief of Staff, Office of the CEO
Recent News
Company data provided by crunchbase