Data Science Lead

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.

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 involve taking novel sensor data streams and turning them into validated, production-ready algorithms with

real clinical impact. You will collaborate with Hardware & Optics Engineers, Clinical Scientists, and other Data Scientists to

develop prototypes, validate clinical use-cases, and deliver algorithms into production and integrated into Neko Health’s clinics

and products.

• 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 cross-functionally with optical engineers, hardware developers, and clinical researchers to deliver algorithms that

bridge the gap between physical sensor behaviour and production software within 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 Algorithm team (Chase 10X, not 10%).

• Design and execute calibration, validation, and noise characterisation methodologies for measurement algorithms, ensuring 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.

• 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.

• Experience working at the hardware–software boundary: characterising sensors, building calibration pipelines, and validating

measurements against ground truth.

• 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.

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.