Causal Machine Learning Researcher

Product & AI       ·       UK, Germany or Italy       ·       Full time

Giving the world more time. 

For the first time in human history we have the technology, data, and insights to redefine health. Together with our partners, we will make the leap from reactive to proactive medicine. By collectively benefiting from the data we individually generate, we can all live our longest, fullest lives.  Huma partners with scientists, technologists, healthcare, and life sciences professionals to understand, treat, and ultimately prevent ill health. Giving knowledge and power to those with medical conditions, while saving clinicians time, energy, and valuable resources. 

Working with clinicians, data scientists, AI  engineers and others in a multidisciplinary team, you will lead the hands-on development of models of risk and disease progression across a variety of challenging areas such as Cardiovascular Health, COPD, COVID-19, vital sign baseline models, orthopaedics or general healthiness. This role requires a strong understanding of the clinical side as well as experience in modern data science and machine learning techniques and excellent communication skills.

Your mission

• Learning causal effects from data, automatic identification of confounding factors and causal relationships in data. Build counterfactual models
• Work with multidisciplinary teams to develop new clinical data science solutions to challenging real world healthcare problems
• Develop risk scores and models of disease progression using both large-scale health datasets and novel digital biomarkers
• Take models and systems from early prototypes and tests through to clinical trials, validation and launch
• Work constructively with clients and partners to explore and scope new projects and provide technical or statistical assurance for models created
• Maintain high standards of data governance and ethics

From day one in this role, we’ll expect you to have

• Completed a PhD in machine learning, causality, or a related area, or equivalent experience.
• Hands-on experience with current deep learning frameworks (PyTorch, TensorFlow, TensorFlow Probability, etc.)
• Familiarity with causal inference libraries (e.g. Causal ML, DoWhy, etc.)
• Effective communication skills and ability to work in a collaborative environment
• Passion to see research have real-world impact
• Strong statistical background.

It’s great, but not required, if you have

• A track record in relevant research, such as causal inference, causal deep learning, deep generative models, as evidenced by publications in top-tier venues. Examples include but are not limited to ICML, NeurIPS, ICLR, AAAI, AISTATS, UAI etc.
• Software engineering skills for rapid and accurate development.

You will thrive at Huma if you are

• A self-solver – you are resourceful and  seek solutions through collaboration
• A problem-solver – a passion to creatively find solutions that solve one of the biggest global challenges – human longevity
• A cultivator of Innovation – you will tirelessly challenge the status quo 
• A visionary – imagine what is possible and have the courage to take risks that will drive our business forward

What we can offer you

• Progressive private health insurance with AXA Health
• EAP scheme and gym membership discount with AXA
• AIG Life & income protection scheme
• Generous share options – every employee is an owner
• 25 days paid vacation + UK bank holidays
• Home office allowance to support home working
• Bike2Work scheme
• Season ticket loan
• Family first culture – giving the flexibility you need
• Growth & development opportunities

Come join us!  

We believe magic happens when you bring together diverse ideas, experiences, and styles. We want to create a world where people live longer, fuller lives, and to do that well we need a team that represents all of the people and communities who use our solutions. We aspire to create an environment where everyone has the opportunity to do their best work. We are always looking for ways to improve so if you have any suggestions, please get in touch. 

Huma is committed to ensuring the safety of all current and prospective global employees during the ongoing COVID-19 Pandemic. We’ve developed technology-enabled recruitment and on-boarding processes, all Huma people have been provided with a home office allowance and we’ve developed a progressive communications model. We will continue to adapt as we work together in this new world of distributed working.

Dear recruitment agency friends: Huma attracts an amazing number of direct candidates and we do not need any help at this stage, so please do not send us unsolicited agency resumes. This is not a great use of your time, and we will not accept any liability or fees for any resumes or candidates which we have not asked you to find for us.

Please click here to apply.