Computational Biology Lead - New Technology Analytics (m/f/d)

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 - New Technology 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 Lead role is responsible to formulate and to implement computational biology strategy to harness innovative technologies that will further our future vision of cancer diagnosis and individualized treatments treatment. This 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 establish quality assurance, confirmatory evidence, and clinical utility for new technologies, such as digital pathology and radiomics. 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 innovative technologies hub
• Co-create strategy with key stakeholders to evaluate the feasibility of utility of technologies for cancer diagnosis and treatment
• Coordinate and scientifically review the team’s choices of quality control metrics and algorithms for evaluating high-throughput data
• Establish the framework for decision making, scientific best practices, and effective communication within the team
• 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
• Contribute 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
• Several years of industry experience in drug development or biotech role, including the evaluation or application of new technologies
• Demonstrated experience in statistical analysis of high-throughput molecular data, such as DNA-seq, RNA-seq, single-cell, or imaging datasets in oncology with proficiency in a programming environment (such as R or Python)
• Prior experience with deep learning algorithms for image processing preferred
• 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

This is your opportunity to tackle the world’s biggest challenges with us: Maintaining our health, feeding growing populations and slowing the rate of climate change. You have a voice, ideas and perspectives and we want to hear them. Because our success begins with you. Be part of something big. Be Bayer.

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.

Location: Germany : Berlin : Berlin

Division: Pharmaceuticals

Reference Code:786232