Senior Research Engineer (remote)

United States - Remote

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In any healthcare system, analyses are performed and decisions are made that affect people’s lives; from predicting risk and understanding symptom presentations to determining the most appropriate clinical and lifestyle interventions for a patient. Artificial intelligence algorithms represent a leap forward in the quality and accessibility of healthcare by assisting and co-driving more personalised, technology-powered clinical decision making/support and population health management. At Babylon, our goal is to build the next generation of AI / machine learning algorithms and systems that will operate through digital healthcare platforms and products to deliver the highest standard of care for millions of our members globally.
To achieve that goal, in collaboration with other members of the Applied Sciences team, Research Engineers at Babylon, apply, support and contribute to cutting-edge research, leveraging data collected through our digital health platform and from subject-matter experts, as well as publicly available third-party data. This research contributes to the development and improvement of existing and future digital health products and services to support the health of our members globally.
We are looking for a highly motivated, technically adept Senior Research Engineer to join the Applied Sciences team, a multi-disciplinary team of AI research scientists & engineers, data scientists, epidemiologists & health economists, working in close collaboration with clinical, product and engineering teams to deliver healthcare products to improve the lives of millions globally.


  • Contributes to the development of AI solutions to address long-term business challenges.
  • Responsible for technical implementation, design and architecture of AI/ML features & services including proof-of-concepts, prototypes and research tooling.
  • Supports research and design of approaches, algorithms and models for AI/ML features/services.
  • Supports the co-creation of efficient, effective and reproducible experimental code, frameworks, environments and processes through the implementation of best modern engineering practices.
  • Runs scientific experiments and supports their design.
  • Efficiently works on this (as per the points above) with other stakeholders (including other members of the Applied Sciences team, clinicians, engineers, product managers, project managers and the regulatory team).
  • Guides research engineering conversations and helps supervise junior team members with their day-to-day tasks and activities.
  • Provides engineering and systems focussed mentoring to the wider Applied Science team.
  • Leads the transition of knowledge and assets to product engineering teams if/when a research project is destined for productionisation.
  • Representing the wider Applied Sciences team as stakeholders in other engineering related teams (e.g. MLOps, data engineering) - bridging the gap to the production engineering world.
  • Communicates impact of research and scientific concepts to non-technical audiences across the business.


  • Strong mathematical ability to deeply understand state-of-the-art work.
  • Expert in Python, or/and other similar language(s).
  • Ability to optimise research code (e.g. implementing vectorisation or low-memory techniques).
  • Knowledge of developments in experimental platforms and frameworks from across the field.
  • Good organisational skills (including time and task management, and working efficiently as part of a team).
  • Good communication skills. Able to explain and articulate technical and scientific ideas in written and verbal formats (including presentations).
  • Masters degree (or equivalent knowledge and experience) in technical discipline, e.g. computer science, physics, maths, and 3+ years of engineering experience.
  • Relevant scientific research experience.
  • Experience with data science / ML libraries & frameworks (e.g., PyTorch, TensorFlow, PyMC3, Pyro, Stan, scikit-learn, etc.)
  • Expertise with relevant skills for programming, including: use of version control systems; use of a ticket/project management system like JIRA; writing and use of tests.
  • Excellent knowledge of computer science and software engineering overall.
  • Broad knowledge of AI / ML, in particular of relevant AI/ML techniques and frameworks.
  • Able to communicate the impact of engineering, research and scientific concepts to non-technical audiences.
  • Is compassionate and caring towards others. They respect the views and ideas of  others
  • Works in a straight-forward, collaborative and inclusive way and is non-political;
  • Is tenacious, in the pursuit to delight our users. They strive for excellence in all they do and always look to improve our service and product;
  • Regularly seeks to turn ideas into action and injects creativity into every touch point. They question common practice to challenge the norm;
  • Frequently has a can-do attitude and a positive viewpoint;
  • Takes ownership and always delivers against what is agreed.


  • Experience with development and deployment of production software.
  • Experience of front-end / full-stack development (including for prototypes and demos).
  • Experience with some of these areas:
  • computer science subject e.g. programming language theory or/and software verification;
  • medicine/healthcare, in particular experience of applying AI/ML in healthcare settings;
  • probabilistic programming;
  • causality;
  • counterfactual inference;
  • Bayesian modelling and inference.
  • Expertise in one or several areas of ML/AI.
  • Relevant publications in ML / AI / computer science, including conferences (such as NeurIPS, ICML and ICLR), journals and workshops.
WHAT WE OFFER Whether you work in one of our amazing offices or a distributed team, Babylon is highly collaborative and fun! You’ll have a chance to work in a fast-paced environment with experienced industry leaders. We have a learning environment where you can make an impact.
WHO WE AREWe are a team on a mission, to put accessible and affordable healthcare in the hands of every person on earth. Our mission is bold and ambitious, and it’s one that’s shared by our team who shares our values, to dream big, build fast and be brilliant. To achieve this, we’ve brought together one of the largest teams of scientists, clinicians, mathematicians and engineers to focus on combining the ever-growing computing power of machines, with the best medical expertise of humans, to create a comprehensive, immediate and personalized health service and make it universally available.
At Babylon our people aren’t just part of a team, they’re part of something bigger. We’re a vibrant community of creative thinkers and doers, forging the way for a new generation of healthcare. We’re only as good as our people. So, finding the best people is everything to us. We serve millions, but we choose our people one at a time…
DIVERSITY AT BABYLONWe believe that difference inspires a better, healthier world. That’s why it’s at the heart of everything we do. From our people to our products, difference enriches every part of our business and creates a culture based on equality of opportunity, and in which all Babylonians can progress their careers. We’re committed to creating an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, colour, religion, sex, pregnancy status, national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information, and any other characteristic protected by applicable law.
Job region(s): North America
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