Genomic Data Scientist (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.

Genomic Data Scientist (m/f/d)

Biomedical data science (BMDS) is a recently founded group within Pharmaceuticals R&D at Bayer. Its objective is to deliver novel insights on therapeutic mechanisms and patient populations through analysis of large human genomics and other multi-modal datasets, in collaboration with internal and external partners, including world leading institutions.

YOUR TASKS AND RESPONSIBILITIES

• Work collaboratively as a member (m/f/d) of the BMDS team, with other Bayer teams, and with external partners, and further, manage multiple projects simultaneously and complete projects in a timely and reliable manner
• Develop and maintain bioinformatics pipelines and carry out bioinformatics analysis using languages such as R, Python, and Bash
• Design and conduct of complex analyses to identify novel targets, biomarkers, and other insights relevant for the translation of research projects into clinical development stages with a strong focus on endocrine, metabolism and reproductive indication areas
• Interpret results of genotype – phenotype association analyses from human genome-wide genotyping, whole-exome, and whole-genome sequencing data as well as association result from other complex Omic data, which may include transcriptomics, metabolomics, and proteomics data
• Apply biological insights from internal and external data sets, published literature and other resources, and bioinformatics to prioritize genetic discoveries in endocrine, metabolism, and reproductive indication area
• Summarize and communicate study findings to the BMDS team, as well as other internal and external collaborators
• Actively identify and engage potential new data sources (internal, publicly available or through collaborators) which help improve our understanding of human disease
• Survey the literature and attend conferences to incorporate discoveries and findings from the broader genetics community into study opportunities and considerations internally

WHO YOU ARE

• PhD or equivalent with a strong background in human genetics, statistical genetics, genetic epidemiology, population genetics, computational biology, bioinformatics and/or human diseases; post-doc experience abroad is a plus
• Experience in analyzing and interpreting sequencing and genome-wide genotyping studies (e.g., variant level QC, statistical association analysis, and interpretation of association signals in complex disease)
• Experience with standard statistical approaches and tools (e.g., regression, linear mixed models, R, PLINK, GitLab/GitHub), programming experience (e.g., R, Python, SQL, workflow description languages), as well as experience with high performance and cloud computing
• Experience with machine learning approaches is a plus
• Ability to test, implement, and troubleshoot new concepts and techniques
• Ability to summarize data and results to identify patterns, signals, and issues
• An understanding of human biology to integrate and leverage diverse datasets to identify interesting variants, genes, and genotype-phenotype associations
• Ability to effectively communicate complex concepts to collaborators from a wide range of background

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: Berlin

Division: Pharmaceuticals

Reference Code: 656224