Computational Biology Lead

vor 2 Wochen


Berlin, Deutschland Bayer Vollzeit

**At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.**

**Computational Biology Lead - Preclinical Analytics (M/F/d)**

In Bayer Research & Early Development Oncology, we discover the next generation of cancer therapies with scientific innovation hubs in Berlin, Boston, Basel, and Oslo. Translational Sciences Oncology is a multidisciplinary department that harnesses cutting-edge technologies to enable earlier detection, precise molecular diagnosis, and personalized treatment for cancer patients. We ensure seamless translational support starting from the assessment of new targets through to preclinical and clinical studies from first-in-human through lifecycle management.

This Computational Biology Lead role is responsible to formulate and to implement computational biology strategy that enables patient-centric, data-driven insights in preclinical research, clinical trials, and/or real-world cohorts. Based on a profound understanding of the genetic and molecular heterogeneity of cancer, this role will direct data analytics that establish clear connections between drug targets and defined patient populations. This Computational Biology Lead will oversee technological innovation and scientific excellence for complex, quantitative analyses of specialized multi-omics, imaging, and/or real-world data. In particular, this role will compile and analyze internal and external high-dimensional datasets to ensure the delivery of novel targets, biomarkers, or predictive insights that may influence stage-gate decisions on the Oncology portfolio. This role will initiate, delegate, and manage innovative research projects leveraging internal and external collaborations. Through an extensive network of colleagues throughout Bayer, this role will successfully implement cross-functional solutions. This role will advance scientific leadership within the company, our network of external partners, and the broader cancer research community.

**YOUR TASKS AND RESPONSIBILITIES**
- Responsible to lead and steer a computational biology interface with a global segment of research and development, such as preclinical research, clinical trials, or real-world cohorts
- Co-create strategy with key stakeholders to derive patient-centric computational biology insights on tumor susceptibility to, or adaptations on, cancer treatment
- Coordinate and scientifically review the team’s data-driven deliverables that evaluate stage-gate decision criteria for portfolio programs
- Establish the framework for decision making, scientific best practices, and effective communication within the team
- Allocates effort among multiple direct reports to balance prioritization among delivering insights for multiple portfolio programs, while also sustaining computational biology innovation
- Pioneer computational initiatives to analyze multi-omics or imaging datasets to nominate new targets, advance new technologies, and guide tactical decisions on precision oncology therapies. Advocates for championing innovative ideas and approaches, both internally and externally
- Contributes to the prosecution of the R&D roadmap for Artificial Intelligence and Machine Learning (AI/ML) by proposing high-value business problems, contextualizing Digital Product development as a Business Owner, and identifying the added value from these approaches
- Coordinates interfaces across Research & Early Development Oncology, Oncology Biostatistics & Data Management, Data Science & AI, and IT functions

**WHO YOU ARE**
- PhD in Biological or Computational Sciences (Bioinformatics, Biostatistics, Chemistry, Computational Biology, Genetics, Molecular Biology, Statistics, or other related discipline) with very strong computational or quantitative focus
- Demonstrated experience in statistical analysis of DNA-seq, RNA-seq, single-cell, or imaging datasets in oncology with proficiency in a programming environment (such as R or Python)
- Demonstrated peer-reviewed publications in computational biology
- Ability to set, communicate, and implement a strategic vision
- Prior experience with managing direct reports
- Demonstrated critical thinking skills and learning agility, highly self-motivated, with an aspiration of continuous improvement of oneself and others
- Effective influencer, communicator, and team player with proven networking skills, both internally and externally
- Fluent in English, both written and spoken

LI-DE

**YOUR APPLICATION**

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