Genetic scientist job description
Updated March 14, 2024
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Example genetic scientist requirements on a job description
Genetic scientist requirements can be divided into technical requirements and required soft skills. The lists below show the most common requirements included in genetic scientist job postings.
Sample genetic scientist requirements
- Master's degree in genetics, molecular biology, or related field
- Experience in designing and conducting research experiments
- Excellent knowledge of core genetics principles
- Proficient in relevant laboratory techniques and equipment
- Ability to analyze and interpret data
Sample required genetic scientist soft skills
- Excellent problem-solving and communication skills
- Ability to work well both independently and collaboratively
- Highly organized and detail-oriented
- Strong analytical and critical thinking abilities
Genetic scientist job description example 1
Syngenta genetic scientist job description
About Us
We invite you to help us shape the future of agriculture. At Syngenta, we believe every employee has a role to play in safely feeding the world and taking care of our planet. To support that challenge, we are currently seeking an Applied Genetics Scientist - Genomic Prediction to join our Vegetable and Flowers Seeds Development team in Durham, NC. Other Syngenta locations might be considered.
In this role, you will closely collaborate with our teams around the globe with emphasis on:
Implementing genomic prediction across stages of breeding pipelines to accelerate genetic gain in vegetable breeding
Optimizing predictive ability for selection of traits to deliver on product profiles
Monitoring germplasm structure and diversity to shape and optimize germplasm development process
Accountabilities
Lead genomic selection initiatives in collaboration with Germplasm Development teams focusing on predictive modeling for optimal selection of parents, progeny and hybrids and germplasm advancement
Drive planning, design, coordination, analysis, and execution of genomic selection initiatives ensuring timely delivery during advancement cycles and within budget
Influence adoption of genomic prediction methods, contribute towards their integration in the breeding process and the transformation of respective breeding schemes
Continuously improve training sets and increase prediction accuracy to optimize selection schemes for target traits in alignment with product profiles and market segment needs
Contribute towards the development of novel tools, modeling approaches and methodologies in partnership with Analytics and Data Science teams to drive continuous improvement of genomic prediction workflows and facilitate the delivery of enterprise level capabilities and IT solutions
Develop germplasm strategies in collaboration with Germplasm Development teams by driving studies on germplasm characterization, structure, and diversity. Leverage analytics tools to derive insights that drive decisions on germplasm pools, trait deployment, germplasm development and exchange.
Develop deep understanding of the crop(s) and respective market segments to ensure successful application of technology
Keep up to date with internal and external scientific advancements in germplasm, genomic and data science toolbox and methodologies. Propose and lead development of new scientific knowledge and share experience across crops and functions.
We invite you to help us shape the future of agriculture. At Syngenta, we believe every employee has a role to play in safely feeding the world and taking care of our planet. To support that challenge, we are currently seeking an Applied Genetics Scientist - Genomic Prediction to join our Vegetable and Flowers Seeds Development team in Durham, NC. Other Syngenta locations might be considered.
In this role, you will closely collaborate with our teams around the globe with emphasis on:
Implementing genomic prediction across stages of breeding pipelines to accelerate genetic gain in vegetable breeding
Optimizing predictive ability for selection of traits to deliver on product profiles
Monitoring germplasm structure and diversity to shape and optimize germplasm development process
Accountabilities
Lead genomic selection initiatives in collaboration with Germplasm Development teams focusing on predictive modeling for optimal selection of parents, progeny and hybrids and germplasm advancement
Drive planning, design, coordination, analysis, and execution of genomic selection initiatives ensuring timely delivery during advancement cycles and within budget
Influence adoption of genomic prediction methods, contribute towards their integration in the breeding process and the transformation of respective breeding schemes
Continuously improve training sets and increase prediction accuracy to optimize selection schemes for target traits in alignment with product profiles and market segment needs
Contribute towards the development of novel tools, modeling approaches and methodologies in partnership with Analytics and Data Science teams to drive continuous improvement of genomic prediction workflows and facilitate the delivery of enterprise level capabilities and IT solutions
Develop germplasm strategies in collaboration with Germplasm Development teams by driving studies on germplasm characterization, structure, and diversity. Leverage analytics tools to derive insights that drive decisions on germplasm pools, trait deployment, germplasm development and exchange.
Develop deep understanding of the crop(s) and respective market segments to ensure successful application of technology
Keep up to date with internal and external scientific advancements in germplasm, genomic and data science toolbox and methodologies. Propose and lead development of new scientific knowledge and share experience across crops and functions.
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Updated March 14, 2024
Updated March 14, 2024