We are seeking a Translational Science Lead to oversee the scientific strategy and execution of our AI biomarker development efforts in the field of precision oncology. You will be responsible for identifying, validating, and guiding the translation of novel AI biomarkers and other AI applications into clinical-grade products. Working at the intersection of biology, AI, medicine, and product development, you will play a critical role in shaping our biomarker roadmap. You will report directly to the CSO and collaborate closely with product, regulatory, clinical, and engineering teams.

Tasks

Job Key Responsibilities

• Lead the clinical and analytical evaluation of candidate biomarkers, ensuring high performance and reproducibility.
• Define and continuously refine the scientific roadmap for AI-based biomarkers across multiple indications, in alignment with clinical value and business priorities
• Collaborate with medical advisors, key opinion leaders (KOLs), and research partners to shape development direction and evaluate emerging hypotheses
• Align with regulatory and quality teams to ensure scientific input supports clinical validation and regulatory documentation (e.g., intended use, performance claims, technical documentation)
• Curate datasets and validate model performance with real-world evidence
• Review and co-author scientific abstracts, publications, white papers
• Lead scientific collaboration projects with hospitals (validation) and pharma (R&D)
• Drive and execute our grant strategy by writing grants and participating in international consortia that align with our product strategy
• Drive our patent strategy together with the legal team

Requirements

Requirements and Skills

• Clinician scientist (or equivalent experience) in oncology, pathology, machine learning, biomedical engineering, or a related life sciences field
• 5+ years of experience in translational research or biomarker development (ideally in oncology or diagnostics)
• Deep understanding of clinical validation methodologies and AI/ML applications in computational oncology and digitized histology data.
• Strong track record of scientific output (e.g., publications, patents, studies) with a focus on clinical translation
• Proven ability to operate in fast-paced environments, aligning science with product and regulatory needs

Good to have

• MD PhD
• Experience with multi-omics data, or multimodal deep learning
• Familiarity with ISO 13485 or other regulated development frameworks
• Prior contributions to patent filings, IP strategy, or regulatory submissions for diagnostic products
• Exposure to working with pharmaceutical partners

Benefits

• The opportunity to make a real difference for cancer patients.
• Competitive salary, stock options, and extra benefits.
• A beautiful office near Alexanderplatz with an on-site gym, private showers, free drinks and snacks, rooftop bar, co-working space, and a quiet room for meditation or prayer.
• Competing at the global top-tier of cancer research together with the founders, who are renowned researchers in the field of AI for biomarker development from medical imaging.
• An extremely fast-paced and high-growth VC-funded start-up environment with key ownership from day 1.

About us

StratifAI is an innovative Berlin-based precision oncology startup developing the next generation of AI-based cancer biomarkers. The founders have published over 100 articles in top-tier journals and founded StratifAI to translate these novel ideas into patient care.

Our products enable cancer patients to receive the right treatment at the right time - both for existing drugs on the market, and by supporting pharmaceutical companies in developing the drugs of tomorrow.