Machine learning scientist or engineer

Machine learning scientist or engineer

Vollzeit 48000 - 84000 € / Jahr (geschätzt) Kein Home Office möglich
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Auf einen Blick

  • Aufgaben: Join our team to analyze clinical and omics data using machine learning.
  • Arbeitgeber: MDC is a leading biomedical research center focused on health and disease.
  • Mitarbeitervorteile: Enjoy flexible hours, childcare support, and health benefits in a secure job.
  • Warum dieser Job: Make a real impact in precision medicine and cancer research in an innovative environment.
  • Gewünschte Qualifikationen: PhD or BSc in relevant fields with experience in machine learning and omics data analysis.
  • Andere Informationen: Diversity and inclusion are core values; we welcome applications from all backgrounds.

Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.

The Max Delbrück Center for Molecular Medicine (MDC) in the Helmholtz Association is an international biomedical research center dedicated to understanding the molecular mechanisms of health and disease with the goal to devise new diagnostics and medicines. The MDC is a member of the Helmholtz Association, Germany’s largest scientific organization, and offers an engaging research environment with cutting-edge research infrastructure. Currently, ~1250 employees and ~500 guest scientists work at the Berlin-Buch and Berlin-Mitte campuses. Our diverse workforce is a core strength that inspires creativity and innovation at the MDC.

The MDC is committed to improving human health through transformative biomedical research. Our goal is to pioneer discoveries for preventing, treating, and ultimately curing disease.

We are currently seeking a highly motivated and experienced Machine Learning Scientist or engineer with experience or interest in biological data analysis to join our team. The successful candidate will be working on a project focused on clinical decision making and omics analysis. This is a translational project that aims to validate the utility of our AI-enabled platforms for biomedical research.

Responsibilities:

  • Use Large Language Models and other foundation models in the context of clinical and omics data.
  • Develop and implement machine learning algorithms for the analysis of large-scale omics data, including genomic, transcriptomic, and proteomic data.
  • Work with experimental scientists to design and execute experiments to validate drug targets and biomarkers discovered through machine learning.
  • Collaborate with other team members to integrate and interpret data from multiple sources.
  • Present research findings at internal and external meetings and conferences.
  • Contribute to the publication of scientific papers in high-impact journals.
  • Contribute to grant applications or other funding applications to further the project.

Requirements:

  • PhD in Computer Science, Bioinformatics, Math, Chemical Engineering, or a related field with a focus on machine learning. Or BSc in a quantitative field (Statistics, Computer Science, Bioinformatics, Chemical Engineering) with demonstrated experience in deep learning applications in the life sciences domain.
  • Experience in the analysis of large-scale omics data, including genomic, transcriptomic, and proteomic data is needed for at least one position.
  • Experience with cloud infrastructure and tool deployment on cloud, particularly AWS, is a plus.
  • Strong programming skills in Python and experience with machine learning libraries such as scikit-learn and/or PyTorch.
  • Strong verbal and written communication skills and the ability to work effectively in a collaborative team environment.
  • Strong problem-solving and analytical skills and the ability to think creatively.

This is an exciting opportunity to work in an innovative and dynamic research environment and make a significant impact in the field of precision medicine and cancer research.

We offer:

  • International working environment with communication in English and German.
  • Interesting career opportunities and a range of opportunities for further qualification and training.
  • Compatibility of family and career certified by the workandfamily audit (“berufundfamilie audit”).
  • Support for „New Berliners“ through the MDC Welcome & Family Office.

You also benefit from:

  • A remuneration in accordance with the collective agreement for the federal public service (TVöD-Bund), including additional company pension schemes.
  • Flexible working hours and childcare support.
  • A secure job.
  • Subsidy for the job ticket.
  • Additional health benefits such as flu vaccination, eye test, ergonomics advice at the workplace.
  • The possibility of mobile working.

Application Period:
February 28, 2025

Workplace:
MDC Berlin-Mitte

Salary:
The position will be funded according to German TVÖD up to E13 (Bund) based on experience and qualification.

Employment volume:
Full Time

Desired starting date:
April 01, 2025

Limitation:
Fixed Term
The position is limited for 2 years and 9 months.

Contact:
Sabrina Deter
AG Akalin, Bioinformatics

Commitment to Equity, Diversity and Inclusion:
MDC values diversity and is committed to fostering an inclusive, fair and open environment that allows everyone to grow and flourish. All qualified applicants will receive equitable consideration for employment based on their experience and qualifications, and will not be discriminated against on the basis of national or ethnic origin, religion, sexual orientation, gender identity, disability, age, or other personal characteristics. We recognize that creating diverse teams that represent a broad range of experiences, perspectives, and backgrounds strengthen our work and research. We welcome applications from open-minded people who embrace working together in a diverse environment. Applications from severely disabled people will be given particular consideration.

Application:
Please use our online portal and submit your application including a cover letter, CV (without photo, age and information about your family status) and other relevant attachments.
If you have a foreign degree, please submit proof of the recognition of your Master’s degree in Germany with your application. The proof can be determined via the anabin database and can be submitted as a PDF attachment to the application. Further information can be found at Recognition of Degrees and Achievements .

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Machine learning scientist or engineer Arbeitgeber: Max Delbrück Center for Molecular Medicine (MDC)

The Max Delbrück Center for Molecular Medicine (MDC) is an exceptional employer, offering a vibrant and collaborative research environment in the heart of Berlin. With a commitment to employee growth through diverse training opportunities and a strong focus on work-life balance, including flexible hours and family support, MDC fosters innovation and creativity among its ~1250 employees. Join us to make a meaningful impact in precision medicine and cancer research while enjoying the benefits of a secure job and a supportive workplace culture.
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Kontaktperson:

Max Delbrück Center for Molecular Medicine (MDC) HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: Machine learning scientist or engineer

Tip Number 1

Familiarize yourself with the latest advancements in machine learning, particularly in the context of biomedical research. Understanding how Large Language Models and other foundation models are applied to clinical and omics data will give you a significant edge during interviews.

Tip Number 2

Engage with the scientific community by attending conferences or webinars focused on machine learning in life sciences. Networking with professionals in the field can provide insights into current trends and may even lead to valuable connections at MDC.

Tip Number 3

Prepare to discuss your experience with large-scale omics data analysis. Be ready to share specific examples of projects where you've successfully implemented machine learning algorithms, as this will demonstrate your practical knowledge and problem-solving skills.

Tip Number 4

Highlight your collaborative experiences in previous roles. Since the position involves working closely with experimental scientists, showcasing your ability to integrate and interpret data from multiple sources will be crucial in making a strong impression.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Machine learning scientist or engineer

PhD in Computer Science, Bioinformatics, Math, Chemical Engineering, or a related field
BSc in a quantitative field (Statistics, Computer Science, Bioinformatics, Chemical Engineering)
Experience in deep learning applications in the life sciences domain
Analysis of large-scale omics data (genomic, transcriptomic, proteomic)
Cloud infrastructure experience, particularly with AWS
Strong programming skills in Python
Experience with machine learning libraries such as scikit-learn and/or PyTorch
Strong verbal and written communication skills
Ability to work effectively in a collaborative team environment
Strong problem-solving and analytical skills
Creative thinking

Tipps für deine Bewerbung 🫡

Tailor Your Cover Letter: Make sure to customize your cover letter to reflect your interest in the MDC and the specific role of Machine Learning Scientist or Engineer. Highlight your relevant experience in biological data analysis and how it aligns with the responsibilities outlined in the job description.

Showcase Your Technical Skills: In your CV, emphasize your programming skills in Python and experience with machine learning libraries like scikit-learn and PyTorch. Include any relevant projects or research that demonstrate your ability to analyze large-scale omics data.

Highlight Collaborative Experience: Since the role involves working with experimental scientists, mention any previous collaborative projects you've been part of. Describe your role in these collaborations and how you contributed to integrating and interpreting data from multiple sources.

Include Proof of Degree Recognition: If you have a foreign degree, ensure you include proof of its recognition in Germany as specified in the application instructions. This can be done by submitting the relevant documentation from the anabin database as a PDF attachment.

Wie du dich auf ein Vorstellungsgespräch bei Max Delbrück Center for Molecular Medicine (MDC) vorbereitest

Showcase Your Technical Skills

Be prepared to discuss your experience with machine learning algorithms and large-scale omics data analysis. Highlight specific projects where you've successfully applied these skills, especially in a biomedical context.

Demonstrate Collaboration Experience

Since the role involves working closely with experimental scientists, share examples of past collaborations. Emphasize your ability to integrate diverse data sources and how you’ve contributed to team projects.

Prepare for Problem-Solving Questions

Expect questions that assess your analytical and problem-solving skills. Think of scenarios where you faced challenges in your research and how you creatively overcame them, particularly in the life sciences domain.

Communicate Clearly and Effectively

Strong communication skills are essential. Practice explaining complex concepts in simple terms, as you may need to present findings to non-experts. Be ready to discuss how you would approach presenting your research at conferences.

Machine learning scientist or engineer
Max Delbrück Center for Molecular Medicine (MDC)
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