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.

Genomics Data Scientist Postdoc

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Genomics Data Scientist Postdoc, are to:

• Provide technical contributions in a fast-paced team environment to accelerate our efforts on generating applicable insights from diverse sources of genomics data; Independently perform data queries, statistical analysis, computer programming, predictive modeling and experimental design;
• Build cross-functional relationships with business partners and effectively network amongst diverse scientific disciplines within breeding, precision genomics, and data science communities;
• Contribute to the development of code, bioinformatics analysis pipelines, computational tools, and databases for mining and visualizing large genomics data sets;
• Develop sustainable, consumable, accurate, and impactful reporting on model inputs, model outputs, observed outputs, business impact, and key performance indicators;
• Present compelling and validated stories to all levels of organization, including peers, senior management, and internal customers to drive both strategic and operational changes in business.

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 a relevant domain, including genomics, computational biology, molecular biology & genetics, etc.; Educational preparation or applied experience in at least one of the following areas: Machine Learning, Statistical Genetics, Statistics, Biostatistics, Bioinformatics, Genomics, Computational Biology or other related quantitative discipline;
• Demonstrates intermediate proficiency in computational skills and level of experience analyzing large datasets and/or building data models using R, Python or other statistical and/or mathematical programming packages;
• Demonstrates basic understanding of software development best practices (Version Control, Code Documentation & Review, Cloud Based Sequence Analysis and Database Management, etc.) Intermediate proficiency in machine learning algorithms and concepts;
• Experience in successful delivery of valuable analysis through application of domain knowledge;
• Strong communication competencies including presentations and delivery of complex quantitative analyses in a clear, concise and actionable manner to extended team and small groups of key stakeholders

Employees can expect to be paid a salary between $106,000 to $159,000. Additional compensation may include a bonus or commission (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.. This salary range is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.

This posting will be available for application until at least February 19, 2024