Director, Computational Biology - New Technology Analytics

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.

Director Computational Biology - New Technology Analytics 

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 Director 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 treatment.  This Director 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

The primary responsibilities of this role Director Computational Biology – New Technology Analytics are 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 reviews 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; 
•  Advocate 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;
•  Coordinate interfaces across Research & Early Development Oncology Oncology Biostatistics & Data Management Data Science & AI and IT functions.

WHO YOU ARE

Your success will be driven by your demonstration of our LIFE values.  More specifically related to this position Bayer seeks an incumbent who possesses the following:

Required Qualifications:

• 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 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);
• 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.

Preferred Qualifications:

• 5+ years industry experience in drug development or biotech role including the evaluation or application of new technologies;
• Prior experience with deep learning algorithms for image processing.

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