Description review
Data Science Lead
Neko Health · Remote - Stockholm · back to the listing
HR standards
58/100
needs work
Title ↔ description
67/100
needs work
Reads as
Data Scientist
81% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
How others title the same work
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What the listing never says
- No section describes what the person would actually do. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
Mission
Neko is redefining what prevention means, from treating illness when it arrives, to sustaining health before it's ever at risk. Our mission: make data-driven, preventative care accessible to more people, before symptoms appear.
In a single, non-invasive visit under an hour, proprietary technology and direct clinical care combine to deliver personalised, actionable insights. It's a team that thinks in 10x, not 10%. Every role here plays a part in building a world where prevention is the norm, and where your work genuinely helps people live longer, healthier lives.
Role Purpose
We are hiring a Data Science Lead to join our Data Science team, working across projects such as Laser Speckle and other optical imaging. These roles take novel sensor data streams and turn them into validated, production-ready algorithms with real clinical impact. You will collaborate with hardware and optics engineers, clinical scientists and other data scientists to develop prototypes, validate clinical use cases and deliver algorithms into production, integrated into Neko Health's clinics and products. The role puts Member-first, always and Optimistic truth seeking into practice.
What You'll Deliver in the First 6–12 Months
• Develop, verify, validate and deploy physics-based algorithms for laser measurement systems, contributing to new product capabilities or research breakthroughs that improve member outcomes (Member-first, always).
• Collaborate with optical engineers, hardware developers and clinical researchers to deliver algorithms that bridge the gap between physical sensor behaviour and production software in Neko Health's clinics and products (Tech-enabled, human-centred).
• Deliver production-quality code and integrate physics-aware algorithms into Neko's backend infrastructure, raising the bar for technical excellence across the Data Science team (Chase 10X, not 10%).
• Design and execute calibration, validation and noise characterisation methods for measurement algorithms, so our science meets the highest standards of metrological and clinical rigour (Optimistic truth seeking).
• Mentor and collaborate within a high-performing, multidisciplinary team, contributing to a culture of openness and continuous improvement (Optimistic truth seeking).
Requirements
• MSc or PhD in Physics, Optical Engineering, Biomedical Engineering, Electrical Engineering or a related field, with 7+ years of relevant industry experience, or 5+ years post-PhD.
• Deep knowledge of physics-based modelling and simulation: translating physical systems (optical, acoustic or electromagnetic) into code from first principles.
• Experience with laser-based measurement techniques such as laser speckle, doppler, OCT, interferometry, lidar FMCW or spectroscopy, or related fields.
• Strong software engineering skills and proven experience shipping algorithms to production.
• Experience working at the hardware–software boundary: characterising sensors, building calibration pipelines and validating measurements against ground truth.
• AI fluent: confident using current AI tooling to increase productivity and efficiency.
Preferred
• Experience working in clinical or regulated environments, and an understanding of regulatory requirements for medical device algorithms.
• Prior experience in med-tech, biophotonics, metrology or sensor-driven R&D where understanding the underlying physics was essential to getting the algorithm right.
• Demonstrated success mentoring engineers or researchers in high-growth, mission-driven organisations.
Organization and Way of Working
The engineering team is divided into smaller cross functional project teams that each focus on a specific goal or target, where some groups are long-lived, and some are short-lived, depending on how big the goal or deliverable is. We strive to create groups which are cross-functional and able to complete their goals without dependence on other teams, even though this is of course not always possible.
Groups track goals on a yearly and quarterly basis with goal follow-up across the entire engineering organization on a bi-weekly basis. Most groups do internal planning on a bi-weekly basis, but in the end it's up to the group to decide how they want to work.
We have, however, mandated that all groups must present their progress or failures or hacks at our bi-weekly engineering demo, a fun meeting/presentation where we talk about everything from short-circuiting power-modules, how hard it is to calibrate cameras or align polygons in space, to neat new command line tools for operations, a new auth mechanism in the backend, a cool new way to visualize health data or a new feature which helps our doctors be more productive.
We have a flexible workplace that focuses on work/life balance, and we strongly believe in our mission but do not think that achieving it requires sacrificing everything else.
Neko is redefining what prevention means, from treating illness when it arrives, to sustaining health before it's ever at risk. Our mission: make data-driven, preventative care accessible to more people, before symptoms appear.
In a single, non-invasive visit under an hour, proprietary technology and direct clinical care combine to deliver personalised, actionable insights. It's a team that thinks in 10x, not 10%. Every role here plays a part in building a world where prevention is the norm, and where your work genuinely helps people live longer, healthier lives.
Role Purpose
We are hiring a Data Science Lead to join our Data Science team, working across projects such as Laser Speckle and other optical imaging. These roles take novel sensor data streams and turn them into validated, production-ready algorithms with real clinical impact. You will collaborate with hardware and optics engineers, clinical scientists and other data scientists to develop prototypes, validate clinical use cases and deliver algorithms into production, integrated into Neko Health's clinics and products. The role puts Member-first, always and Optimistic truth seeking into practice.
What You'll Deliver in the First 6–12 Months
• Develop, verify, validate and deploy physics-based algorithms for laser measurement systems, contributing to new product capabilities or research breakthroughs that improve member outcomes (Member-first, always).
• Collaborate with optical engineers, hardware developers and clinical researchers to deliver algorithms that bridge the gap between physical sensor behaviour and production software in Neko Health's clinics and products (Tech-enabled, human-centred).
• Deliver production-quality code and integrate physics-aware algorithms into Neko's backend infrastructure, raising the bar for technical excellence across the Data Science team (Chase 10X, not 10%).
• Design and execute calibration, validation and noise characterisation methods for measurement algorithms, so our science meets the highest standards of metrological and clinical rigour (Optimistic truth seeking).
• Mentor and collaborate within a high-performing, multidisciplinary team, contributing to a culture of openness and continuous improvement (Optimistic truth seeking).
Requirements
• MSc or PhD in Physics, Optical Engineering, Biomedical Engineering, Electrical Engineering or a related field, with 7+ years of relevant industry experience, or 5+ years post-PhD.
• Deep knowledge of physics-based modelling and simulation: translating physical systems (optical, acoustic or electromagnetic) into code from first principles.
• Experience with laser-based measurement techniques such as laser speckle, doppler, OCT, interferometry, lidar FMCW or spectroscopy, or related fields.
• Strong software engineering skills and proven experience shipping algorithms to production.
• Experience working at the hardware–software boundary: characterising sensors, building calibration pipelines and validating measurements against ground truth.
• AI fluent: confident using current AI tooling to increase productivity and efficiency.
Preferred
• Experience working in clinical or regulated environments, and an understanding of regulatory requirements for medical device algorithms.
• Prior experience in med-tech, biophotonics, metrology or sensor-driven R&D where understanding the underlying physics was essential to getting the algorithm right.
• Demonstrated success mentoring engineers or researchers in high-growth, mission-driven organisations.
Organization and Way of Working
The engineering team is divided into smaller cross functional project teams that each focus on a specific goal or target, where some groups are long-lived, and some are short-lived, depending on how big the goal or deliverable is. We strive to create groups which are cross-functional and able to complete their goals without dependence on other teams, even though this is of course not always possible.
Groups track goals on a yearly and quarterly basis with goal follow-up across the entire engineering organization on a bi-weekly basis. Most groups do internal planning on a bi-weekly basis, but in the end it's up to the group to decide how they want to work.
We have, however, mandated that all groups must present their progress or failures or hacks at our bi-weekly engineering demo, a fun meeting/presentation where we talk about everything from short-circuiting power-modules, how hard it is to calibrate cameras or align polygons in space, to neat new command line tools for operations, a new auth mechanism in the backend, a cool new way to visualize health data or a new feature which helps our doctors be more productive.
We have a flexible workplace that focuses on work/life balance, and we strongly believe in our mission but do not think that achieving it requires sacrificing everything else.