Head of Computational Life Sciences Biologics (CLS BLX) – Division: Bayer CropScience Bayer

Job ID: 351665
Job date: 2015-11-28
End Date:

Company : Bayer Crop Science 

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Role : Research Scientist 


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Job Description:

Job Description

The Head of Computational Life Sciences Biologics (CLS BLX) will lead a team of scientists who perform various omics based analyses, work with wet lab scientists in the design of experiments, integrate wet lab and in silico data to increase predictability of outcome and manage complex sets of data to facilitate downstream analysis by CLS and non-CLS scientists.  The Head develops strategic decisions regarding the management and analysis of disparate data, guides and nurtures CLS members to grow professionally, and collaborates with other members of BLX Scientific Leadership Team (BSLT) to execute BLX R&D objectives that are in-line with global BCS objectives.  The Head is also a member of the CLS Leadership Team (CLS LT) to communicate the needs and the objectives of BLX at the global CLS level, strategize and promote CLS goals across BCS, and provide quality leadership to all CLS members.  The jobholder will become a member of global committees, such as Development IT Governance Committee (DIT-GC) and Research IT Governance Committee (RIT-GC), to communicate and represent BLX IT needs to secure funding and to identify synergy across BCS R&D functions.  The Head manages a team of informatics professionals to ensure that laboratory IT equipment and LIMS applications are running optimally to maintain lab efficiency and data interoperability with other BCS LIMS.  To be successful on these objectives, he/she must be knowledgeable and current in various scientific and technical disciplines especially in data management and analysis, understand the science and business of BLX and other BCS functions, and successfully collaborate with other BCS scientists in various discipline and 3rd party experts. This person will: • Develop and manage bioinformatics, biostatistics and informatics scientists to provide inspiring leadership and to promote BCS people development strategy within BLX; • Collaborate with stakeholders to provide complementary omics-based and CLS solutions in early phase discovery and translational R&D between field trials and laboratory/greenhouse data in support of local and global level projects in Crop Efficiency, Pest Control and Disease Control indications; • Provide support for our commercial products by managing the analysis of field trial data that leads to best practice recommendations and by analyzing fermentation batches using NGS sequencing technology to increase product stewardship; • Formulate technical and strategic objectives that involve a high degree of planning and coordination to outline resources and FTE requirements to meet BLX objectives and to be in line with R&D strategies; collaborate with BSLT and with CLS LT to effectively manage departmental budget and resources; • Represent BLX and CLS at 3rd party and internal collaboration meetings, international conferences and acquisition targets for controlling pests and diseases in plant and promoting plant health; • Acquire advance knowledge of omics science and technology to translate data into knowledge, to create intellectual property and to elucidate the mechanism-of-action of BLX leads and products; • Maintain working knowledge of information technology, database design and software development to provide guidance on R&D data management; • Comply with Bayer regulations and safety practices and promote such behavior as well as promote a constructive feedback culture.

Requirements

Qualifications: Your success will be driven by your demonstration of our LIFE (Leadership, Integrity, Flexibility, Efficiency) values. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required for this position: • Ph.D. or equivalent in Computational Biology, Bioinformatics, Genomics, Microbial Genetics or related field and 8+ years of post-Ph.D. industry/academic experience; • Several years of management experience supervising Ph.D. level scientists, particularly inspiring and motivating direct reports; • Scientific, technical and social skills for the development of internal and external network of global expert team members; • Expert domain knowledge of various aspects of bioinformatics, biostatistics and omics (e.g. genomics, transcriptomics, metagenomics); • Comprehensive technical understanding of relational databases, network design and systems, servers, and web-based software development; • Advance knowledge of organization and annotation of microbial and plant genomes and genetics; • Strong communication skills to translate technical and scientific information to non-CLS scientists and to communicate CLS vision to the rest of BCS R&D.  


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