20 beste Stellen als phd data in berlin – aktuell auf Personalsuche

Chemical Data Scientist
Dunia Innovations GmbH —Berlin
- Vollzeit
- Doktorat
- Datenanalyse
- Master
Direkt bewerben
Scientific Founder’s Associate (MD / PhD / comparable)
Noah Labs —Berlin
- Doktorat
- Forschungserfahrung
Direkt bewerben
Scientific Member of Staff / PhD Student (m/w/d) - Digital Signal Processing & RF Circuit Design - 13/26
Ferdinand-Braun-Institut —Berlin
- Vollzeit
- Master
- Elektrotechnik
- Flexible Arbeitszeiten
Direkt bewerben
Research Scientist, Thermocatalysis
Dunia Innovations GmbH —Berlin
- Vollzeit
- Doktorat
Direkt bewerben
PhD student (m/f/d) in ultrafast laser-matter interactions and nanoprocessing
Max Born Institut —Berlin
- Teilzeit
- Master
Direkt bewerben
14 Tage
Postdoctoral Position (f/m/d)
Fritz-Haber-Institut der Max-Planck-Gesellschaft —Berlin
- Vollzeit
- Doktorat
Biomarker Data Scientist (alle Geschlechter)
Bayer —Berlin
- 77.300 € – 93.800 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Informatik
- Englisch
- Weiterbildungsprogramme
21 Std.
PhD student (m/f/d) - “Light-Matter-Interaction at Interfaces” (LiMatI)
Max Born Institut —Berlin
- Teilzeit
- Master
Direkt bewerben
ML Researcher, Representation Learning
Dunia Innovations GmbH —Berlin
- Vollzeit
- Doktorat
- Englisch
- Forschungserfahrung
Direkt bewerben
Biomarker Data Scientist (all gender)
Bayer —Berlin
- 77.300 € – 93.800 € pro Jahr
- Vollzeit
- Doktorat
- Informatik
- Master
21 Std.
PhD student (m/f/d) - “Light-Matter-Interaction at Interfaces” (LiMatI)
Max-Born-Institut (MBI) für Nichtlineare Optik und Kurzzeitspektroskopie im Forschungsverbund Berlin e.V. —Berlin
- Teilzeit
- Master
AI for Science Residency - Machine Learning Resident
Microsoft —Berlin
- Doktorat
- Informatik
- Forschungserfahrung
9 Tage
Crystalization Expert (F/M/D)
Theion GmbH —Berlin
- Vollzeit
- Doktorat
- Englisch
Direkt bewerben
3 Tage
PhD Position (m/f/d)
Fritz-Haber-Institut der Max-Planck-Gesellschaft —Berlin
- Vollzeit
- Datenanalyse
- Master
- Machine Learning
Materials Informatics Scientist (Evaluation-focused)
Dunia Innovations GmbH —Berlin
- Vollzeit
- Doktorat
- Master
- Machine Learning
Direkt bewerben
Foundation and generative models for biomolecules
Inceptive —Berlin
- 200.000 € – 275.000 € pro Jahr
- Doktorat
- Informatik
- Forschungserfahrung
Principal Machine Learning Scientist (all genders)
Bayer —Berlin
- 104.300 € – 126.500 € pro Jahr
- Teilzeit
- Doktorat
- Machine Learning
- Künstliche Intelligenz
Scientific Lead - Health Data Research (f/m/x)
D4L data4life gGmbH —Berlin
- Vollzeit
- Doktorat
- Forschungserfahrung
- Datenbanken
- Homeoffice-Möglichkeit
Consultants - Materials Informatics
JEVVRS Business Consulting UG —Berlin
- Doktorat
- Datenanalyse
- Master
Applied Research Scientist [Machine Visibility]
saas.group —Berlin
- Homeoffice
- Master
- SQL
- Künstliche Intelligenz
Direkt bewerben

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phd data jobs near berlin

Chemical Data Scientist

Dunia Innovations GmbH
Berlin

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Doktorat
NumPy
Datenanalyse
MongoDB
Master
Datenbanken
Python

Vollständige Stellenbeschreibung

Your mission

Turn Dunia's experimental output into an understanding that drives better decisions
Dunia is building AI for one of the hardest unsolved problems in science: turning materials discovery from an academic, trial-and-error process into a programmable, scalable discipline.

We run high-throughput experiments, simulations, and ML-driven optimization loops. The hardest problem is not generating data, and as our lab throughput increases, so does our data output. It is knowing what that data actually means.

As Chemical Data Scientist, you will sit at the center of Dunia’s discovery loop. You will be the person who spots the signal from the noise, and whether a trend is real or misleading. You will ensure that the organization, its systems and models are actually learning.

This role is about judgment as much as analysis. You will shape how experimental evidence flows into models, simulations, and decisions, and in doing so, how fast and how well Dunia discovers new materials.

Your tasks will include:

Be the scientific sense-maker

Interrogate data from ongoing electrocatalyst campaigns
Identify patterns, anomalies, and failure modes that others miss
Develop intuition for where experiments lie, and where they tell the truth

Close the loop between matter and models

Decide which experimental signals should inform ML feature design
Decide which experimental signals and discrepancies are important enough to merit computational explanation.
Give lab and automation teams concrete feedback on experimental quality and design

Make learning compound, not fragment

Create clear, concise digests that align the entire team on what was learned
Track how understanding evolves across campaigns, not just within them
Raise the bar for how scientific progress is communicated internally

Influence the system, not just the analysis

Shape data pipelines and analytical views by using them aggressively
Help define what “analysis-ready” data actually meansin practice
Ensure infrastructure evolves aroundreal scientific workflows, not abstractions

Your profile

Master's or PhD in chemistry, electrochemistry, materials science, or a related field
3–6 years of experience working with experimental or computational data in a research or R&D context (post-Master's; fewer years post-PhD is fine)
Strong Python skills and comfort with data analysis tooling (pandas, NumPy, scikit-learn, etc.)
Familiarity with electrochemistry or energy materials; you should have intuition for what experimental artifacts look like and which trends are chemically meaningful
Clear technical communication: you can write a summary that a lab scientist, an ML engineer, and a program manager can all use
Bonus: exposure to tools like RDKit, pymatgen, or ASE; familiarity with MongoDB or similar databases
English fluency

About us

Dunia, meaning “world” in over 20 languages, reflects our focus on building technologies that deliver abundance globally. By combining physics, AI, and automation, we accelerate materials discovery for next-generation energy and industrial systems. Our work helps make energy more accessible and materials more affordable and resilient while reshaping how science moves from idea to impact. Join us to work on problems where progress truly compounds.

Need more convincing? -> Watch this video

We strive to create a diverse and inclusive workplace where everyone feels welcome and safe to be their authentic self. Non-traditional career paths are welcome and valued. If you share our vision, you can be certain that we want you to succeed. You might be just the right candidate for this or for other roles that have not opened yet.

Reach out, and follow us on LinkedIn!

Direkt bewerben

Erweiterte Suche

phd data Jobs in berlin

Chemical Data Scientist

Scientific Founder’s Associate (MD / PhD / comparable)

Scientific Member of Staff / PhD Student (m/w/d) - Digital Signal Processing & RF Circuit Design - 13/26

Research Scientist, Thermocatalysis

PhD student (m/f/d) in ultrafast laser-matter interactions and nanoprocessing

Postdoctoral Position (f/m/d)

Biomarker Data Scientist (alle Geschlechter)

PhD student (m/f/d) - “Light-Matter-Interaction at Interfaces” (LiMatI)

ML Researcher, Representation Learning

Biomarker Data Scientist (all gender)

PhD student (m/f/d) - “Light-Matter-Interaction at Interfaces” (LiMatI)

AI for Science Residency - Machine Learning Resident

Crystalization Expert (F/M/D)

PhD Position (m/f/d)

Materials Informatics Scientist (Evaluation-focused)

Foundation and generative models for biomolecules

Principal Machine Learning Scientist (all genders)

Scientific Lead - Health Data Research (f/m/x)

Consultants - Materials Informatics

Applied Research Scientist [Machine Visibility]

Ich möchte aktuelle Job-E-Mails für Stellen als phd data in berlin erhalten

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