Job
- Level
- Experienced
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Temporary employment
- Location
- Heidelberg
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop innovative graph representation learning methods for biomedical data analysis and implement integrated pipelines with large language models.
Job Technologies
Your role in the team
- We are looking for a talented and curious Research Scientist (Machine Learning) to join our team, bringing fresh perspectives and advanced expertise to fuel innovative thinking and scientific excellence.
- If you are passionate about transforming biomedical data into actionable knowledge within a collaborative environment, this position is for you.
- Design, implement, and evaluate novel graph representation learning methods for knowledge graph reasoning and completion, and develop end-to-end pipelines that integrate graph-based reasoning with large language models.
- Hands-on experience in multi-modal learning, combining structured (graph) and unstructured (text, image, omics) data for patient-level representation learning.
- Ability to work independently and as part of an interdisciplinary team, and to drive research projects from conception to production.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- The ideal candidate will have:
- Algorithm design skills to tackle complex challenges in digital twin technologies.
- Vertrautheit mit modernen Data-Science- und KI-Techniken, einschließlich der Entwicklung und Anwendung von künstlicher Intelligenz, Foundation Models und agentischen KI-Systemen.
- Background in life sciences and/or biomedical domain, even minor, is highly encouraged.
- Strong engineering skills in PyTorch/PyTorch Lightning and relevant ML libraries (PyTorch Geometric, DGL, etc.) for implementing custom architectures, paired with best practices in reproducible software development (Git workflows, testing, linting, documentation, CI/CD).
- Familiarity with containerization and environment management tools (e.g., Docker, uv, Conda) and orchestration of large-scale ML experiments on cloud platforms.
- Strong problem-solving skills and scientific curiosity.
- Excellent communication, organizational, and interpersonal skills.
Experience
- PhD (or equivalent experience) in Computer Science, Machine Learning, Applied Mathematics, Computational Biology, or a related field.
This text has been machine translated. Show original
What we offer
- This position is limited until June 30, 2028.
- A dynamic, collaborative research environment at the interface of ML and biomedical science.
- Close collaboration with our pharma partner (Sanofi) providing real-world biological problems and datasets.
- Flexible working hours and hybrid working within Germany.
- Access to a vast scientific network.
- Opportunities to publish in top academic journals and present at top academic and industry conferences.
- Mentorship and career development support, including conference attendance and networking opportunities.
- Training on how scientific teams take a high-risk, high-reward idea from development to early-stage productization.
- International, diverse, and positive work atmosphere that fosters personal and professional growth.
This text has been machine translated. Show original
Topics You Will Work On
Job Locations
About Your Employer
BioMed X GmbH
BioMed X is an independent research and innovation center focused on biomedical research and drug development. The company collaborates with pharmaceutical partners, research institutes, and universities to translate scientific challenges into cooperative projects. It also supports early scientific talents in translational research environments.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Pharmaceutical Sector, Chemical Industry, Biotech
Research Scientist Machine Learning
- Location
- Heidelberg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
