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Senior Applied Scientist

At Koa Health, we are revolutionising mental health care by delivering therapeutic solutions through smartphones. Our mission is to make mental health support accessible, personalised, and effective by leveraging cutting-edge technology and data science.

Our R&D team has been at the forefront of applied precision medicine in digital mental health, with strong scientific contributions published in top-tier journals such as Nature Medicine, JMIR, npj Digital Medicine, Scientific Reports, and collaborations with leading institutions including the London School of Economics (LSE), Harvard Medical School, and the University of Oxford.

About the role
We are seeking a passionate and experienced Senior Applied Scientist to join our Research and Development team. The ideal candidate will have a strong background in data and statistical analysis, machine learning and LLMs with a keen interest in applying these skills to improve mental health outcomes.

You Will

  • Data and Statistical Analysis:
    • Extract and preprocess features from smartphone sensor data (e.g., activity logs, screen on/off events, etc.) and app usage logs.
    • Perform time-series analysis to interpret different kinds of data (e.g., smartphone sensors, Electronic Health Records, app usage logs) to identify digital markers that correlated with mental health indicators.
    • Proficiency in statistical analysis for evidence generation, including hypothesis testing, and data interpretation.
  • Machine Learning Algorithm Development:
    • Develop and implement machine learning models to infer the “right” therapy and/or the “right” moment of its delivery.
    • Build predictive algorithms to detect risks of symptom deterioration or lack of improvement.
    • Integrate LLMs to create classification/regression and content generation algorithms.
  • Collaboration and Integration:
    • Work closely with cross-functional teams, including clinicians, engineers, and product managers, to integrate algorithms into the platform.
    • Communicate complex technical concepts to non-technical stakeholders effectively.
  • Research and Development:
    • Stay updated with the latest advancements in digital mental health, machine learning, and digital phenotyping.
    • Work on early stage proof-of-concept projects alongside academic and medical institutions.
    • Publish and present research findings in scientific journals and conferences when applicable.

About You

  • Education:
    • Master's in Computer Science, Data Science, Electrical Engineering, or a related field; Ph.D. preferred.
  • Technical Skills:
    • Proficiency in Python.
    • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, LangChain).
    • Familiarity with version control systems such as Git.
    • Strong background in signal processing and time-series analysis.
    • Familiarity with handling data pipelines.
  • Experience:
    • Experience in developing and deploying machine learning models in a production environment.
    • Prior work with sensor data and mobile platforms is highly desirable.
    • Strong publication and/or patent record is a plus.
    • Knowledge of mental health concepts and digital therapeutics is a plus.
  • Soft Skills:
    • Excellent problem-solving abilities and analytical thinking.
    • Strong communication and teamwork skills.
    • Ability to work independently and manage multiple projects simultaneously

About Koa Health 

Against the backdrop of decades of rising demand, mental health has never been more important.  The Covid pandemic has led to a four-fold increase in mental disorders around the world, impacting individuals, companies, and communities. 

Today, we simply don’t have enough mental health clinicians to meet demand.  Koa Health aims to solve the gap between demand and supply with a unique human-digital hybrid approach, built upon the best digital technology.  Koa’s digital assets deliver the highest quality care, measured through engagement, program completion, patient and clinician satisfaction. Koa technology substantially increases clinician productivity, allowing our precious clinicians to treat more people. 

Having secured a successful and oversubscribed Series A funding totaling €30m (ca.$36M) in October 2020 and additional €20m funding in May 2022, we are currently closing our Series B round of investment, with €12M secured from our existing investors.  You can read more about Koa Health on our website here.  There has never been a more critical time for the work that we’re leading at Koa Health.  And this is where you come in!  

Why Koa Health?

We are at the forefront of innovation in digital health, working on one of today’s hottest topics – mental health.  By working with Koa, you will make a positive impact on the lives of many people.

Aside from the power of our mission, we provide all the support and benefits to make your life at work and outside of work fun and comfortable year-round, such as:

  • Competitive rewards package that includes: Food Allowance, Private Health Insurance, Pension Contribution, Life Insurance, Bonus Scheme, and Share Options
  • We believe in walking the talk: We are focused on supporting your wellbeing and therefore provide you with a Wellbeing Allowance and Wellbeing Leave, as well as a generous annual leave allocation to help manage both your mental and physical health as you see fit
  • Flexibility: We’re hiring your skills and experience, so ask you to use these in the most effective way you can whilst managing your work-life balance in your own way
  • An international environment: Our teams, our clients and our collaborators span the US, the UK, Europe, and Asia.  Our breadth of experience offers the opportunity to understand and get involved in healthcare systems worldwide.

An inclusive workplace

We firmly believe that diversity and inclusion should be embedded in the fabric of our organization and we know true progress comes with long-term commitments and actions.  We are building a space where our people feel respected for who they are and are rewarded based on the impact they make to the business. 

Regardless of your personal identifiers, at Koa Health you can be yourself, and feel respected, accepted and supported.  We promote an inclusive culture where people who think and act differently can discover ways to learn from each other.  Promoting diversity, inclusion, and equity must be a company-wide effort.  As a scale-up company, we are creating a safe space that fosters acceptance and invites differences as part of our first steps toward building a resilient and inclusive work environment.

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