Data Scientist, Nia Health

Medical Computer Vision

Salary not provided

Docker

Python

NumPy

Pandas

PyTorch

FastAPI

Junior and Mid level

Berlin

Medical platform for chronic skin conditions

Open for applications

Medical platform for chronic skin conditions

21-100 employees

HealthcareB2CB2BArtificial IntelligenceBig dataMachine LearningSaaSWellbeing

Open for applications

Salary not provided

Docker

Python

NumPy

Pandas

PyTorch

FastAPI

Junior and Mid level

Berlin

21-100 employees

HealthcareB2CB2BArtificial IntelligenceBig dataMachine LearningSaaSWellbeing

Company mission

To provide a highly engaging and personalised patient experience that removes barriers to health behaviour change.

Job

Company

Role

Who you are

Degree in Computer Science, AI/ML, Biomedical Engineering, Statistics, or related field
2+ years of professional hands-on experience in machine learning / computer vision model development
Proficiency with Python and frameworks such as PyTorch (Lightning) and OpenCV
Strong data handling skills (NumPy, Pandas, etc.)
Ideally, experience with Docker, FastAPI
Solid understanding of deep learning fundamentals, metrics, and evaluation methods
Interest in expanding into multi-modal AI or LLM-based applications
Analytical mindset and the ability to work in a structured and focused manner
Excellent communication skills and curiosity about medical applications
You speak German or English fluently

What the job involves

We are looking for a talented and ambitious Data Scientist (f/m/d) who’s excited to join us in developing real-world medical AI for dermatology - to support doctors and patients in the management of inflammatory skin conditions
You’ll join a small, fast-moving AI team, working closely with product management, engineers, data annotators and medical experts
Design, train, and evaluate computer vision models for medical image analysis, blending vision and structured data when relevant (PyTorch)
Maintain organized datasets and experiment tracking (DVC, FiftyOne, MLflow)
Implement explainability and uncertainty estimation techniques
Document model development steps, data sources, and evaluation procedures in line with medical product quality and regulatory standards
Contribute to standardization and automation of model training and validation processes
Perform data preprocessing, augmentation, and quality control in collaboration with data annotators and medical advisors
Collaborate with front-/back-end engineers to integrate AI models into product workflows
Work cross-functionally within the AI, product and business teams and present findings to technical and non-technical stakeholders

Our take

Currently being used in five European clinical studies, Nia Health is a digital medical platform geared towards those suffering from chronic skin conditions such as neurodermatitis. Through digital therapeutics and consultations, Nia also aids in the monitoring of patients and treatments through industry data analysis, which can be leveraged by businesses as well as patients.

This multi-pronged solution to chronic skin conditions has drawn major investment from Biomed investors such as Ventura and the Berlin University of Medicine. In response, Nia has been scaling up its operations throughout the EU.

The investment will be used to lay the groundwork for US market entry, something that it is primed for after partnering with the likes of Sanofi and Pfizer since its founding in 2019. With revenue doubling between 2021 and 2022, Nia is on the right path for continued growth.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 3 rounds)

May 2023

$4.2m

SEED

Mar 2020

$0.8m

GRANT

Total funding: $5.1m

Company HQ

Wrangelkiez, Berlin, Germany

Leadership

Tobias Seidl

(Co-Founder & CEO)

Previously a recipient of the EXIST Scholarship, CEO of Biodirekt GmbH, Head of Business Development at Rocket Internet SE and a Consultant at Kienbaum.

Oliver Welter

(Co-Founder & CTO)

Previously a receipient of EXIST Business Start-Up Grant, CTO at caresyntax, Software Architect at GfK nurago GmbH and Senior Software Engineer at PPI AG.

Dr. Reem Alneebari

(Chief Medical Officer)

Previously a Senior Medical Advisor at MedGroup LLC. Also a recipient of the Fellowship Aesthetic Laser Medicine DALM from Ernst-Moritz-Arndt-Universität Greifswald and Dermatologist at Praxis Dres.

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