Data Scientist (Industrial PhD Track)

About Braive

Braive is the AI-powered mental health platform that supports clinicians and patients through the full treatment journey, from assessment and treatment planning through delivery, follow-up, and outcome measurement. We are MDR Class IIA certified, clinically validated, and built in the Nordics, and our partners include leading healthcare providers and insurers across Norway and Sweden. Research has been central to Braive from the beginning: between 2021 and 2025 we led a research project with KTH Royal Institute of Technology and the University of Oslo, developing machine learning methods for personalised digital mental health care. The proof points back it up: around 50% average symptom reduction and 80% patient improvement within six weeks.

We are now looking for a senior data scientist who can help build on this research foundation into continuously improving clinical products and services.

Why this role matters

Braive's ambition is to make care measurably more precise, adaptive, and continuous. That depends on being able to learn systematically from every completed treatment: what worked, for whom, in which circumstances, and at what point in the journey. This role is where that learning happens. You develop the analytical and machine learning capabilities that turn accumulated clinical data into a better next decision for the clinician, better next functionality for the product, and more effective care for the next patient.

This is also an Industrial PhD track. You will complete a doctorate while employed at Braive, with KTH as the likely degree-conferring institution and continued research collaboration with UiO. The research question will be developed jointly by you, Braive, and your academic supervisors, and the doctoral component is subject to formal university admission, agreement with the academic partner, and funding through the Research Council of Norway's Industrial PhD Scheme.

What you'll do

• Develop statistical and machine learning models that support personalised assessment, treatment planning, monitoring, and follow-up, using approaches such as longitudinal and hierarchical modelling, causal inference, treatment-effect estimation and dynamic prediction

• Own and improve Braive's dbt project and analytical datasets, including staging-to-mart architecture, dimensional models, automated data quality tests and defensible definitions for clinical, operational and commercial reporting

• Work with product and engineering to operationalise validated models into production, including reproducible pipelines, monitoring, safeguards and human oversight for clinical decision support

• Evaluate models for discrimination, calibration, robustness, fairness and clinical usefulness, and contribute to the technical and clinical documentation required in a regulated medical-device environment

• Translate clinical and business questions into scientific problems and communicate findings accurately to both technical and non-technical audiences

• Collaborate with psychologists, researchers, product managers, engineers and commercial colleagues at Braive, plus academic supervisors and research groups at KTH and UiO

• Shape the doctoral research direction jointly with Braive and your academic supervisors, and contribute to research protocols, publications and funding applications

What success looks like

In your first six months, you understand Braive's clinical data, analytical architecture, and regulatory context deeply, priority analytical datasets are more reliable and better documented, core clinical and treatment-process measures have agreed definitions, and at least one substantive analysis has informed a clinical, product, or commercial decision. The doctoral research direction is defined with Braive and the prospective academic supervisors, and the Industrial PhD application is in motion.

Within a year, you have established a reproducible framework for analysing treatment trajectories and outcomes, developed and evaluated at least one advanced statistical or machine learning approach on Braive's clinical data, and given clinical and product teams more reliable measures to work with.

Research suitable for publication is underway, and the working relationship with the academic environment is productive. Over time, this role helps make Braive's data and research capabilities a genuine clinical and strategic advantage: the ability to learn systematically from accumulated experience, personalise care while maintaining clinical oversight, evaluate new functionality with scientifically defensible methods and advance the science of precise, adaptive and continuous mental healthcare.

About you

• Completed master's degree in data science, statistics, computer science, machine learning, biostatistics, computational psychology or a related quantitative discipline, meeting the admission requirements of the relevant doctoral programme, with no previously completed doctorate (per Industrial PhD Scheme eligibility)

• Genuine interest in completing an Industrial PhD as an integrated part of your role at Braive

• Strong programming skills in Python or R, and advanced SQL with real feeling for performance, data quality and analytical correctness

• Strong foundation in statistical inference and applied machine learning, with experience working on complex observational or longitudinal datasets

• Experience with dbt or comparable transformation frameworks, dimensional modelling, cloud data warehouses and modern BI or semantic-layer tools (we use ThoughtSpot)

• Able to design analytical approaches with clear scientific rationale, evaluate and communicate uncertainty and bias and produce reproducible, well-documented work

• Able to work independently and collaborate effectively across clinical, technical, academic and commercial disciplines, communicating clearly in written and spoken English

How the Industrial PhD component works

The doctoral project will be developed jointly between yourself, Braive, and the academic institution. You will be employed by Braive throughout, with KTH as the expected degree-conferring institution and UiO contributing through research collaboration or co-supervision where appropriate. The likely structure is a four-year project in which at least 75% of your time is devoted to doctoral research and up to 25% to related responsibilities at Braive. The final structure will be agreed with the academic institution and set out in the funding application and employment arrangements. Publication, IP, data access, and use of research outputs will be governed by formal agreements between the participating organisations.

You can find a thorough deep dive of the role and PhD here.

What we offer

• Access to clinically meaningful and scientifically valuable real-world data

• Close collaboration with experienced clinical, technical, and academic colleagues

• The opportunity to undertake doctoral research while remaining closely connected to practical clinical and product development

• Substantial ownership of an important area of Braive’s research and technology strategy

• A working environment that supports professional development, intellectual curiosity, and responsible innovation

Why join Braive?

This is an opportunity to work at the intersection of data science, clinical psychology, healthcare delivery and applied research.

The central question is not simply how to produce more dashboards or more accurate predictions. It is how data from real treatment journeys can be used responsibly to improve the next clinical decision, support the next clinician, and provide more effective care for the next patient.

The person joining us will have the opportunity to help answer that question scientifically and to turn the resulting knowledge into systems used in everyday mental healthcare.