Geneticist: Photosynthesis & Yield for Field Crops

Ellison Institute of Technology

Oxford

On-site

GBP 65,000 - 95,000

Full time

10 days ago

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Benefits offered by this job

Travel allowance
Bonus
25 days annual leave
Pension 7.5%
Life Assurance
Income Protection
Private Medical Insurance
Employee discounts
Cycle to Work
Nursery Salary Sacrifice

Job summary

Ellison Institute of Technology (EIT) Oxford is seeking a Scientist-level Geneticist to lead the Photosynthesis and Yield programme within the Plant Biology Institute. You will design and run quantitative genetics studies, manage multi-location field sites, and generate insights from large-scale data to improve yield and photosynthesis in crop systems.

The role emphasizes translating discoveries into commercial solutions, publishing results, and contributing to IP development while collaborating

Qualifications

  • PhD in plant quantitative genetics or related discipline required.
  • Proven ability to conduct quantitative genetics analyses and large-scale field work.
  • Experience with data analysis, model fitting, statistics, and visualization.

Responsibilities

  • Work as part of an interdisciplinary team to achieve research goals.
  • Design, conduct and analyse quantitative genetics experiments to assess polygenic traits in field environments.
  • Manage multi-location field sites.
  • Identify and develop germplasm for analysis of trait variation.
  • Provide expert advice for strategic decision making.
  • Assist in translating research into commercial opportunities and IP development.

Skills

QTL analysis
GWAS
Field experiments
Independent research
Data analysis
R and Python

Education

PhD in plant quantitative genetics

Tools

R
Python

Job description

Ellison Institute of Technology (EIT) Oxford is seeking a Scientist-level Geneticist to lead the Photosynthesis and Yield programme within the Plant Biology Institute. You will design and run quantitative genetics studies, manage multi-location field sites, and generate insights from large-scale data to improve yield and photosynthesis in crop systems.

The role emphasizes translating discoveries into commercial solutions, publishing results, and contributing to IP development while collaborating

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