Advanta US is an operating unit of Advanta, a global seed business that combines the most advanced techniques in conventional plant breeding with biotechnology to deliver world-class seed. Advanta is one of the international leaders in the research, development, production, processing, marketing and sale of high-performance agricultural seeds.

JOB DESCRIPTION:

As a Statistician you will work with a growing team of statisticians and data managers to provide support to several breeding programs in experimental design, data management, analysis and interpretation of experimental data. Collaborate in the implementation and deployment of statistical methodologies, information management and new software tools for breeding programs.

JOB RESPONSIBILITIES:

• Support on experimental design and the application of appropriate statistical methods. Manage and analysis of high volume of phenotypic and genotypic data coming from multi-environmental trials and high-throughput marker platforms
• Participate in the development and evaluation of appropriate methods for QTL analysis, marker assisted selection, genome wide association studies and genomic prediction.
• Participate in the development and application of analytical and operational software to combine, visualize and deploy genetic and phenotypic information to breeding programs.
• Collect, organize, analyze, and summarize phenotypic and genotypic data for inbred and hybrid evaluation.
• Provide guidance, direction, and mentoring to breeders in order to insure the successfully adoption of new methodologies

EDUCATION QUALIFICATION:

• Ms.Sc./Ph. D. degree in Statistics or Plant/Animal Breeding, or related area, with a specialization in field or genetic data analysis, experimental design, quantitative genetics, with a minimum of seven years of relevant experience in agricultural research. 

EXPERIENCE & DESIRED SKILLS:

• Must have a expertise in at least one of these software: R, SAS or Genstat,.
• Must have a solid foundation in statistical theory with strong interest in applied statistical analysis methodologies.
• Experience in quantitative/population genetics, and/or designing QTL studies, and/or GWAS or GS, and effectively analyzing and interpreting data from those studies, and/or statistical consulting is highly desired.
• Must have strong oral and written communication skills, with demonstrated ability in presenting talks, seminars or other oral presentations.
• Excellent problem solving skills, with demonstrated ability in developing and implementing creative solutions to complex problems.
• Desire to collaborate with individuals of diverse scientific backgrounds is essential.
• Cultural Sensitivity

APPLICATIONS

Please send application and CV to Michael Nesti, michael.nesti@uniphos.com