About RISA

Cancer patients don’t just fight the disease - they fight the system. Today, life-saving treatments are routinely delayed by days or even weeks due to manual, error-prone workflows. At RISA Labs, we’re here to fix that.

RISA’s platform - Business Operating System as a Service (BOSS) - is not another automation bot or AI assistant. It’s a full-stack orchestration engine built for the vertical complexity of healthcare. Instead of relying on humans to push paperwork or brittle bots that break when systems change, BOSS decomposes complex workflows into micro-tasks, then delegates them to a network of intelligent agents: LLMs, digital twins, and reinforcement learners, extending across an institution’s entire software stack. This allows BOSS to create a parallel digital workforce, operating on behalf of teams and alongside them. A 1,000-person institution can function like a 2,000-person one overnight, with digital agents making up half the workforce.

Role Overview

We’re seeking an Applied Scientist to help us develop and optimize advanced machine learning models, algorithms, and AI solutions that will power our platform. In this role, you’ll work closely with data scientists, engineers, and product teams to implement state-of-the-art AI and machine learning technologies that improve service delivery, enhance decision-making, and automate workflows across industries.

This is an exciting opportunity to work on impactful, high-performance systems in a fast-paced, innovative environment.

Responsibilities

Model Development: Design, implement, and optimize machine learning models, including but not limited to, predictive models, recommendation systems, natural language processing (NLP), and computer vision
Algorithm Design: Develop and apply advanced algorithms to solve real-world problems, ensuring they are scalable, efficient, and robust
Research & Innovation: Stay up-to-date with the latest AI research and apply new techniques to improve the performance and capabilities of our products
Collaboration: Work closely with cross-functional teams (engineering, product, operations) to integrate machine learning models into production environments
Data Analysis: Analyze large, complex datasets to extract insights and improve model performance
Product Impact: Collaborate with product teams to ensure that AI models and solutions align with user needs, ensuring high-quality, reliable output
Model Validation & Testing: Ensure the quality of models through rigorous validation, performance testing, and continual refinement based on real-world data and feedback

Qualifications

3+ years of experience in applied machine learning, data science, or a related field
Strong proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
Experience with large-scale data processing tools (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud)
Experience with NLP, computer vision, or deep learning is a plus
Strong analytical skills and experience with data preprocessing, model evaluation, and performance tuning
Knowledge of statistical methods and data analysis techniques
Ability to work in a collaborative, cross-functional environment
Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders
PhD or Master’s degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience)

RISA

Latest Jobs

Applied Scientist