Senior Data Engineer – Vision-Language Modeling for Radiology

floy.com; Mission (KS); Remote; EUR 80,000 - 120,000; Full time

Job summary

Join a pioneering medical AI firm as a Senior Data Engineer, where you will contribute to groundbreaking multimodal AI projects that transition from innovative prototypes to life-saving clinical tools. This role offers the chance to work closely with a passionate team dedicated to improving patient outcomes through advanced data engineering and machine learning techniques. With opportunities for publications and patents, you will thrive in a collaborative and mission-driven environment that values individual contributions and fosters professional growth. If you're eager to make a significant impact in the healthcare sector, this is the perfect opportunity for you.

Benefits

Flexible remote work

Company retreats

Fair compensation

Publication and patent opportunities

Qualifications

• Experience with large datasets and data engineering toolkits is essential.
• Proficiency in Python and Docker is required.

Responsibilities

• Manage data repositories and build robust data pipelines.
• Lead data exploration, curation, and pre-processing efforts.

Skills

Python

Data Engineering

Attention to Detail

Communication Skills

Teamwork

Machine Learning

Computer Vision

Basic German

Education

Degree in Medical/Computer Science or Engineering

Tools

Pandas

Airflow

Airbyte

DBT

Docker

AWS

GCP

NoSQL Databases

Job description

Senior Data Engineer – Vision-Language Modeling for Radiology

Permanent employee, Full-time · Remote, Munich

Your mission

We are seeking a highly skilled and experienced Senior Data Engineer to join our team. You will join an R&D team dedicated to pushing the frontier of multimodal AI, from initial concept to clinical release. Publications and patents are highly encouraged and actively supported.

Your responsibilities

1. Manage and provide data repositories for ML engineers
2. Lead data exploration, curation, and pre-processing efforts
3. Build reliable and robust data pipelines in coordination with product managers & ML engineers
4. Administration of quality feedback loops and data surveillance (e.g., production case evaluation)
5. Management of annotation pipelines and platforms to ensure a constant data flow
6. Provide well maintained, documented, and testable code, upholding our high quality standards
7. Supervise delivery and quality control of data-sets & content, e.g. hold-out, training-data, data-analysis

What are we looking for?

1. A degree in a relevant scientific (Medical/Computer Science, Engineering) discipline or equivalent experience in a related field
2. Deep knowledge in data engineering toolkits (pandas, airflow, airbyte, dbt)
3. Experience working with large and uncleaned data
4. Proficiency in Python and Docker
5. Keen eye for detail and a commitment to scientific accuracy
6. Excellent written and verbal communication skills in the English language
7. Strong commitment to teamwork and to delivering robust and scalable solutions
8. Good-to-have:
9. Experience working with DICOM and/or in the Radiology field is a big plus
10. Familiarity in working with cloud environments (AWS/GCP)
11. Experience with NoSQL databases
12. Familiarity with machine learning and computer vision methods
13. Basic German skills to understand radiology reports
14. Exposure to MLOps

We are looking for brilliant, hard-working people who strive to become recognised thought leaders in their domain. If you enjoy learning new things and thrive in a fast-paced environment, we would love to meet you. Together, we will continuously tailor the role to your strengths and development goals.

Why us

Pioneer medical AI to maximize human health. Become part of an ambitious team valuing individuals, dedication, and a joyful work experience. Solve novel challenges with life-saving implications:

• High-Impact Research: See your work transition from cutting-edge prototypes into life-saving clinical tools.
• Publication and Patent Opportunities: We encourage you to publish in top venues and generate patents that push the field forward.
• Collaborative Environment: Engage with a world-class team of ML engineers, radiologists, data scientists, and product managers.
• Mission-Driven Culture: Contribute to improving patient outcomes on conditions often overlooked by mainstream research.

Remote team: We provide flexible remote team culture, company retreats and fair compensation.

Floy is on a mission to build the infrastructure for personalized health. Today, our AI products help radiologists to detect typically overlooked diseases. We envision a future where everybody can access annual holistic health assessments to prevent diseases through early detection.

Floy was founded in June 2021 and raised 8.8m€ total funding from Europe’s leading investors. Over the last months, the team grew to 45 exceptional people. Our pace only accelerates from here.