Senior Scientist at BASF in Chico, CA
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Sr. Scientist Molecular Breeding-Predictive Breeding (Chico)
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, age, citizenship, color, religion, sex, marital status, national origin, disability status, gender identity or expression, protected veteran status, or any other characteristic protected by law.
DescriptionAt BASF, we create chemistry through the power of connected minds. By balancing economic success with environmental protection and social responsibility, we are building a more sustainable future through chemistry. As the world s leading chemical company, we help our customers in nearly every industry meet the current and future needs of society through science and innovation. We achieve this through our commitment to continuous improvement and operational excellence, which gives us the opportunity to set and deliver on ambitious, long-term goals. We provide a challenging and rewarding work environment with a strong emphasis on process safety, as well as the safety of our employees and the communities we operate in and are always working to form the best team especially from within, through an emphasis on lifelong learning and development. This allows for our employees to innovate and generate new ideas, put them into action, and gain insights from them to further advance our collective expertise. And we are constantly striving to become an even better place to work.
BASF has been recognized by Forbes Magazine in 2021 as one of America s Best Large Employers. We strongly support the spirit of collaboration through effectively involving team members and colleagues from other relevant units when developing and executing strategies and projects. Come join us on our journey to create solutions for a sustainable future!
Sr. Scientist, Molecular Breeding
- Predictive Breeding (2101875) Davis, CA Where the Chemistry Happens The main responsibility of this position is to ensure the most efficient implementation of predictive breeding (e.g. genomic prediction and germplasm characterization) for multiple vegetable crops. This job is designed to support molecular breeding scientists in the project design and analysis of large dataset in relation to predictive breeding. In close interaction with other R&D colleagues, this position will be responsible for the design of innovative breeding techniques and analytical tools to improve breeding efficiency and genetic gain for assigned crops. Effective communication and teamwork are essential for the success of this position to translate predictive breeding theories into applied breeding practices.
Qualifications- BASF recognizes institutions of Higher Education which are accredited by the Council for Higher
EducationAccreditation or equivalent.
Formula for Success: You Will In close collaboration with R&D colleagues, you will lead the implementation of predictive breeding projects in assigned breeding programs. Provide global support to molecular breeding scientists for the analysis of large dataset in relation to predictive breeding projects. Design and implement innovative breeding techniques and analytical tools to improve breeding efficiency and genetic gain. Actively participate in the development of a tactical plan to execute short-term and long-term predictive breeding strategies and ensure that project portfolio is aligned with crop strategy. Be the contact person with biostatistics team for the development and optimization of statistical pipelines. Keep up to date with the latest developments in predictive breeding, and be the contact person with universities, institutes, and private companies for the access of relevant tools. Share knowledge across functions and crops and drive innovation in breeding programs.
QualificationsEducation PhD in Plant Breeding and Genetics or related fields with minimum of 4 years of relevant experience
ExperienceApplying molecular genetics, quantitative genetics, and genomic prediction to improve breeding efficiency in multiple crops Knowledge/Skills Excellent knowledge in plant breeding and experience working in the field Demonstrated experience of applying quantitative genetic, computational biology, and statistics in plant breeding programs Experience in predictive breeding techniques such as, genomic prediction and estimating genetic diversity Proficient in scripting with R or Python for statistical analysis of large datasets Experience in working with algorithms for optimizing breeding efficiency Basic knowledge of bioinformatics Pragmatic mind set Excellent project management skills managing multiple international projects with multiple stakeholders Effective networking with academic scientists and private companies Ability and willingness to travel nationally and internationally (approx. 20%). Excellent communication and reporting skills in English and a team player with strong interpersonal communication skills, able to work in a multicultural environment Create Your Own Chemistry: What We Offer You Adding value to our customers begins with adding value to you. you@BASF is the suite of benefits, perks, programs and unique opportunities we offer to support you the whole you in all stages of your life and career. With you@BASF, you create your own chemistry. The total rewards that you receive as a BASF employee go way beyond a paycheck. From competitive health and insurance plans, to robust retirement benefits that include company-matching contributions, to making sure you never stop learning, we believe investing in you is investing in our success. Working for a large, global organization, you ll have a chance to grow professionally and personally, expand your network and build a rewarding and dynamic career.
BASF provides interesting and challenging learning and development opportunities to help you make the most of your talents and your job. For further information on Agricultural Products with BASF, please select:
BASF: Create Chemistry with the Agricultural Products Division Associated topics: bioengineering, biostatistics, biotechnology, immunobioengineering, metabolism, microbiology, pathophysiology, physiology, stem cell, virus
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