Post-Doctoral Research Associate in Data Science and Statistical Genetics

University of Lincoln


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School of Chemistry
Location:  

Lincoln

Salary:  

From £36,333
per annum

Fixed term for 12 months and full time at 1.0 FTE

Closing Date:  

Sunday 02 July 2023

Interview Date:  

Friday 14 July 2023

Reference:  

COS991

We are seeking a highly motivated and enthusiastic individual to join our team and contribute to a cutting-edge research project funded by Calico Life Sciences. This exciting project will involve the application of machine learning techniques, advanced statistical methods, and data science approaches in genetics and precision medicine. Our successful candidate will collaborate with a diverse, international team to conduct research that integrates genetics, metabolic biomarkers, and data from MRI scans of body composition. The primary objective is to identify subtypes of obesity and investigate their relationship with age-related outcomes.

Responsibilities will include:

  • Conducting research using state-of-the-art machine learning, statistical genetics, and data science methodologies.
  • Analysing large datasets and provide concise summaries of key findings.
  • Applying expertise in genetics and genome-wide association studies to interpret and utilise relevant data.
  • Demonstrating an active interest in obesity, age-related diseases, and precision health.
  • Conceiving and designing new projects aligned with the research focus of the group.
  • Publishing scientific findings in peer-reviewed journals.
  • Collaborating effectively within a multidisciplinary team.

Our successful candidate will:

  • have a PhD in computer science, statistical genetics, data science, or a related field. Candidates with an MSc degree in these fields and a minimum of 2 years of industry experience working on similar projects will also be considered.
  • have a strong computational background with expertise in handling large datasets. 
  • be proficient in coding using Linux, R, Python, or similar programming languages.
  • be proficient in statistical analysis, data interpretation, and concise summarisation of results.
  • have familiarity with genetics and the utilisation of data from genome-wide association studies. Knowledge of Mendelian Randomisation is advantageous.
  • demonstrate an interest in obesity, age-related diseases, and precision health.
  • have a proven track record of scientific productivity through peer-reviewed journal publications.
  • have excellent interpersonal skills and the ability to work effectively in a multidisciplinary team.
  • have exceptional written and spoken English communication skills.

Join our dynamic and collaborative team, working at the forefront of data science, genetics, and precision medicine research. This is an excellent opportunity for a passionate researcher to contribute to ground-breaking projects with the potential for significant impact.

Informal enquiries are welcome and should be made to Dr Hanieh Yaghootkar at [email protected] .

Further details:

You can find out more about working at Lincoln, and everything that we have to offer, at: 

https://www.lincoln.ac.uk/jobopportunities/

We strive for a diverse workforce with the very best employees and are committed to creating an inclusive environment for all. The University encourages applications from underrepresented groups inclusive of Black, Asian and other minoritised/marginalised ethnic groups, all gender identities and expressions from the LGBT+ community, candidates with a disability, and those that practise different faiths and beliefs, to enhance our One Community where we strive to be kind, patient, and supportive of each other.

Please note: If you think you may require a visa to work in the UK, please refer to UK Visas and Immigration or UK Visas – Information for Prospective Staff before embarking upon an application, to ensure that you understand the requirements for sponsorship. You may be eligible to work in the UK via other alternative visa routes such as the Global Talent Visa or by having Settlement / ILR; please refer to the UK Visas pages above for further details.

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