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Data Science Pod Lead

neko-healthStockholmEngineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Lead · 5+ yrs
Posted
17 Sept 2026
Status
Open · checked 7d ago

About this role

This role suits an experienced machine learning professional based in Stockholm who wants to combine hands-on technical development with people leadership in healthcare technology. The Data Science Pod Lead at neko-health is a permanent position focused on building preventative health solutions using machine learning and sensor data.

Role Overview

Neko-health in Stockholm seeks a Data Science Pod Lead to direct technical projects and manage a team of data scientists. The position splits time between individual technical contribution, such as building production algorithms, and direct line management responsibilities.

Key Responsibilities

Build, verify, validate, and launch machine learning models and algorithms for clinical decision support systems.
Manage a pod of data scientists through direct line management, mentorship, and career growth support.
Establish technical benchmarks, code standards, and integration practices for backend systems.
Partner with hardware engineers, firmware teams, software developers, medical doctors, and clinical researchers to build clinical use cases.
Participate in the Data Science leadership team to define area strategies, tooling, and operational processes.

Requirements

Master of Science or Doctor of Philosophy degree in Machine Learning, Computer Science, Physics, Biomedical Engineering, or a related quantitative discipline.
Minimum of 5 years of professional industry experience as a Data Scientist, Machine Learning Engineer, or Applied Scientist, or 2 years post-doctoral experience in a similar capacity.
Proven history of deploying algorithms or machine learning models into live production settings or clinical environments.
Advanced knowledge in machine learning, computer vision, or signal processing throughout the complete model lifecycle.
Software development capabilities including production-level coding, testing, version control, and backend integration.
Background handling sensor data, medical imaging, or time-series analysis within cross-functional research and development teams.
Background in people leadership, team guidance, or direct line management.
Communication abilities suited for operating in ambiguous conditions.

Nice to Have

Background working in regulated industries such as medical devices or in-vitro diagnostics, alongside knowledge of regulatory standards for medical algorithms.
Previous employment within medtech, AI-driven healthcare, or biotechnology.
Systems thinking abilities focused on designing safe, observable, and scalable end-to-end machine learning systems.
Track record of mentoring engineers or researchers within growing organisations.

Skills and Tools

Machine Learning
Signal Processing
Computer Vision
Time-Series Analysis
Production Software Engineering
Version Control
Backend Integration

About the Company

Neko-health is a company focused on preventative healthcare, aiming to make preventative care accessible before symptoms appear through non-invasive health visits and data-driven insights.

How to Apply

Interested candidates should submit their application directly on the official company careers page.

Skills and tech stack

Questions candidates ask

What is the primary focus of the Data Science Pod Lead role?

The role involves spending about 75 percent of the time on hands-on algorithmic and machine learning development and 25 percent on people leadership and line management.

Where is the job located?

The position is located in Stockholm.

What qualifications are required for education?

An MSc or PhD in Machine Learning, Computer Science, Physics, Biomedical Engineering, or a related quantitative field is required.

How many years of experience are required?

The role requires 5 plus years of relevant industry experience in a Data Scientist, ML Engineer, or Applied Scientist role, or 2 plus years post-PhD in a comparable position.

Ready to apply?

The application is on the official neko-health careers page.

Apply on company site