12535 - Postdoctoral Research Fellow in Biometrics for In Silico Breeding
| Posting date: | 21 May 2025 |
|---|---|
| Salary: | £40,497 to £48,149 per year, pro rata |
| Hours: | Full time |
| Closing date: | 18 June 2025 |
| Location: | Roslin, Midlothian |
| Remote working: | On-site only |
| Company: | University of Edinburgh |
| Job type: | Contract |
| Job reference: | 12535 |
Summary
Grade UE07: £40,497 - £48,149 per annum (pro-rata if part-time)
CMVM/The Roslin Institute
Full-time: 35 hours per week
Fixed-term: for 36 months
We are looking to fill a 3-year post for a Postdoctoral Research Fellow in Biometrics for In Silico Breeding within the BBSRC-funded HiPerBreedSim project. In this role, you will develop a general statistical framework and software tools for simulating complex phenotypic data capturing multiple data streams (e.g., genetic, environmental, multi-omics) along with their linear and non-linear interactions. The framework will enable large-scale simulations of the high-dimensional experimental data emerging from plant and animal breeding. The software here will accompany our breeding ecosystem comprising AlphaSimR and FieldSimR.
This post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. Fixed-term for 36 months.
The salary for this post is £40,497 per annum.
Your skills and attributes for success:
You are passionate about biometrics, statistics and quantitative genetics applied to experimental breeding data.
You have expertise in linear and generalised mixed models, as well as machine learning algorithms.
You have experience in a high-level programming language, such as Rcpp and C+.
You are interested in developing open-source software for academic and applied work.
You are independent, organised, and thrive in collaboration with multidisciplinary teams working in globally important sector.
Please inspect the call documentation regarding the essential and desirable knowledge, skills and experience needed for the post.
CMVM/The Roslin Institute
Full-time: 35 hours per week
Fixed-term: for 36 months
We are looking to fill a 3-year post for a Postdoctoral Research Fellow in Biometrics for In Silico Breeding within the BBSRC-funded HiPerBreedSim project. In this role, you will develop a general statistical framework and software tools for simulating complex phenotypic data capturing multiple data streams (e.g., genetic, environmental, multi-omics) along with their linear and non-linear interactions. The framework will enable large-scale simulations of the high-dimensional experimental data emerging from plant and animal breeding. The software here will accompany our breeding ecosystem comprising AlphaSimR and FieldSimR.
This post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. Fixed-term for 36 months.
The salary for this post is £40,497 per annum.
Your skills and attributes for success:
You are passionate about biometrics, statistics and quantitative genetics applied to experimental breeding data.
You have expertise in linear and generalised mixed models, as well as machine learning algorithms.
You have experience in a high-level programming language, such as Rcpp and C+.
You are interested in developing open-source software for academic and applied work.
You are independent, organised, and thrive in collaboration with multidisciplinary teams working in globally important sector.
Please inspect the call documentation regarding the essential and desirable knowledge, skills and experience needed for the post.