Senior Data Scientist Leader

vor 4 Wochen

Berlin, Berlin, Deutschland Aignostics GmbH Vollzeit
About the Role

We are seeking a highly experienced Senior Data Scientist Leader to join our team at Aignostics GmbH. As a key member of our data science team, you will play a crucial role in shaping the scientific and technical direction of our data science platform, projects, and products.

As a Principal Data Science Expert, you will work closely with our collaborators in academia and industry to push the state of the art for digital pathology. Your expertise will be instrumental in driving scientific and technical excellence across all data science teams, ensuring we deliver high-quality, scalable solutions that transform complex biomedical data into actionable insights for cancer research and diagnostics.

This is a unique opportunity to join a fun, diverse, and growing team of 100+ machine learners, software engineers, applied scientists, pathologists, and biologists to shape the next generation of cancer treatments. You will be part of a driven community that works in an agile, supportive, and interdisciplinary research environment where your results make a difference to patients.

As a Senior Data Scientist Leader, you will be responsible for owning the technical direction and scientific integrity of our data science platform, models, and algorithms. You will advise our CTO and VP of Data Science on the data science vision of Aignostics GmbH and align our data science strategy with business objectives to provide a competitive advantage.

We are looking for a highly experienced data scientist with a strong track record of driving technical and scientific excellence and innovation in organizations with 50+ scientists and engineers. You should have excellent communication skills, able to articulate complex technical concepts to both technical and non-technical stakeholders.

We value and celebrate diversity and inclusion and are committed to offering equal employment and promotion opportunities for all applicants and employees. We thrive through collaboration and believe the more inclusive we are, the better our work will be.

Key Responsibilities
  • Own the technical direction and scientific integrity of our data science platform, models, and algorithms
  • Advise our CTO and VP of Data Science on the data science vision of Aignostics GmbH
  • Align our data science strategy with business objectives to provide a competitive advantage
  • Resolve technical and scientific conflicts across teams and harmonize models, analyses, and technologies to unlock synergies
  • Advise product management on technical and scientific feasibility, cost, and risks of complex product features
  • Drive technical and scientific design, planning, and integration of our platform across systems and algorithms
  • Provide technical and scientific guidance in data science model, algorithm, and system design reviews for all teams
  • Educate senior and mid-level data scientists to bring them up to the next level
  • Demonstrate long-term thinking and utmost technical and scientific excellence in your individual contributions
  • Lead the technical and scientific strategic planning and execution across the TechOrg's quarterly roadmap
  • Champion the drive for the highest standards across data science teams
  • Drive yearly operational readiness reviews of our data science models, algorithms, and systems, collaborating with owning teams
  • Guide data science teams in maintaining up-to-date, high-quality documentation and code
Requirements
  • Advanced degree in Data Science, Machine Learning, Statistics, Computer Science, Software Engineering, or a related field
  • 8+ years of data science development experience, with at least 5 years in senior leadership roles
  • Proven track record of driving technical and scientific excellence and innovation in organizations with 50+ scientists and engineers
  • Excellent communication skills, able to articulate complex technical concepts to both technical and non-technical stakeholders
  • Extensive experience with machine learning and statistical concepts, including advanced topics such as self-supervised learning, foundation models, explainable AI (XAI), multimodal models, AutoML, or survival analysis
  • Extensive background in large-scale deep learning models and systems, machine learning and data science design patterns, software architecture, and clean coding
  • Extensive experience in designing and implementing large-scale, distributed machine learning models and systems
  • Extensive expertise in multiple programming languages and frameworks
  • Deep understanding of cloud technologies (GCP, AWS), containerization and orchestration (Kubernetes)
What We Offer
  • Join a purpose-driven startup: We are working collectively to fight cancer and improve patient outcomes. Come help us make a difference
  • Cutting-edge AI research and development, with involvement of Charité, LMU Munich, TU Berlin, and our other partners
  • Work with a welcoming, diverse, and highly international team of colleagues
  • Opportunity to take significant responsibility and grow your role within the startup
  • Expand your skills by benefitting from our Learning & Development yearly budget of 1,000€ (plus 2 L&D days), language classes and internal development programs
  • Mentoring program, where you'll learn from and mentor great experts
  • Flexible working hours and teleworking policy
  • Enjoy your well-deserved time off with 28 paid vacation days per year
  • We are family & pet friendly and support flexible parental leave options
  • Pick a subsidized membership of your choice among public transport, sports, and well-being
  • Enjoy our social gatherings, lunches, and off-site events for a fun and inclusive work environment

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