Research Engineer

Ottobock; Duderstadt; Hybrid; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

A leading company in technical orthopedics seeks an experienced machine learning expert/data scientist to join their Global Research department. You will work on innovative AI/ML solutions in healthcare, focusing on enhancing the quality of life for individuals with impairments. This role offers a dynamic environment with opportunities for professional growth and collaboration in a multidisciplinary team.

Leistungen

Flexible & family-friendly working time models

30 days of vacation

Attractive salary package and company pension scheme

Corporate benefits and discounts

Managed recreation room and health management offers

Individual support and further development opportunities

Qualifikationen

• 3+ years of experience in data science or machine learning.
• Proven track record of developing AI/ML models.
• Experience in data engineering and managing large datasets.

Aufgaben

• Collaborate with an international team to tackle data-driven challenges.
• Implement and optimize AI/ML models for healthcare data.
• Lead experiments to validate new methodologies and technologies.

Kenntnisse

Machine Learning

Data Science

Statistical Modeling

Predictive Analytics

Problem-Solving

Communication

Ausbildung

Advanced degree (MSc or PhD) in Machine Learning, Data Science, or related field

Tools

Python

R

NumPy

Pandas

TensorFlow

PyTorch

Scikit-learn

Jobbeschreibung

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Job ID: 7487

Summary Statement

The Global Research department at Ottobock is seeking an experienced machine learning expert/data scientist to join our dynamic and multidisciplinary team.

Our department is dedicated to fostering innovation by exploring cutting-edge technologies and methodologies in healthcare, specifically in orthotics and prosthetics. We focus on current and future breakthroughs that can significantly enhance the quality of life for individuals with impairments. As a member of our international team, you will play a crucial role in developing data-driven solutions that positively impact on the lives of those affected.

Duties & Responsibilities

• You will collaborate with an international team of experts to identify and tackle data-driven challenges in healthcare
• You will investigate, implement, and optimize AI/ML models to analyze complex datasets based on physiological signals and sensors to extract actionable insights and control devices
• You will research on smart human-machine interfaces, advanced AI/ML analytics (predictive/classification models) and reinforcement earning algorithms
• You will lead and design experiments to validate new methodologies and technologies, focusing on improving outcomes for individuals with impairments
• You will research state of the art and competitors, evaluate technologiesand generate new opportunities for the company
• You will contribute to the continuous improvement of the department's data science capabilities by mentoring junior staff and promoting the best practices
• You will document findings, prepare technical reportsand present results to stakeholders and the broader research community
• You will develop and implement functional AI/ML modules in collaboration with the internal software engineering department

Qualifications

• Advanced degree (MSc or PhD) in Machine Learning, Data Science, Computer Science, Engineering, Mathematics, Bioinformatics, or a related field
• 3+ years of experience in data science, machine learning, or advanced analytics in healthcare
• Proven track record of developing AI/ML models
• Strong understanding of statistical modeling, predictive analyticsand AI/ML algorithm design
• Experience in data engineering, including cleaning, preprocessingand managing large datasets
• Proficiency in programming languages such as Python or R, and familiarity with relevant libraries (e.g., NumPy, Pandas, TensorFlow, PyTorch, Scikit-learn)
• Excellent problem-solving skills and the ability to think creatively and work independently
• Strong communication and English skills with the ability to explain complex technical concepts to non-technical stakeholders
• Interest in international collaboration
• Willingness to learn and enjoy interdisciplinary and creative work
• Professional experience in the care and rehabilitation of neurological patients, preferably with a focus on orthotics and prosthetics, is advantageous
• Proficiency in German communication is a plus
• Flexible & family-friendly working time models and 30 days of vacation
• A hybrid work option (nevertheless a regular presence in the office in Duderstadt is necessary on 3 days a week)
• Attractive salary package, company pension scheme and accident insurance in private life
• Systematic induction program for an optimal start
• Corporate benefits and discounts at local companies, free, business-related parking and jobbike leasing
• Managed recreation room, promotion of a healthy diet and offers from the health management
• Individual support and further development through internal (Ottobock Academy) and externaltraining measures

Diversity at Ottobock

We believe in mutual respect, enjoyment at work, and a culture where everyone feels valued. We are committed to diversity, equity, and inclusion, and welcome all applications - regardless of gender, age, nationality, disability, ethnic or social background, religion, or sexual orientation. We give special consideration to individuals with severe disabilities when equally qualified.

Your future at Ottobock

Ottobock's products and services in the areas of Prosthetics, NeuroMobility, Patient Care, Exoskeletons developed by 'SUITX by Ottobock' and Business Solutions ensure independence and quality of life when personal mobility is restricted. With over 10,000 employees in almost 60 countries, our company is the world market leader in technical orthopedics.

Your ideas and commitment will inspire your colleagues and staff, and will further the interests of Ottobock. Be part of a dynamic, growing company with flat hierarchies. We offer a richly diverse field of work, individual development opportunities and extensive qualification programs in our Ottobock Academy.

Please only apply via our online job portal atjobs.ottobock.com. Please quote the Job-IDfor the position in question, and also state your earliest starting date and salary requirements. We look forward to receiving your application!