Assistant Researcher in data science - Hiring in process/Finished, not possible to apply

Description of the workplace
The Genetic and Molecular Epidemiology (GAME) unit is led by Dr Giuseppe ‘Nick’ Giordano, an Associate Professor and Researcher, based at Lund University Diabetes Centre (LUDC), Malmö. Work undertaken at GAME is focused predominantly on characterizing the joint effects of lifestyle and genomic variation in obesity, type 2 diabetes, and cardiovascular disease. At the forefront of the Unit’s agenda is to help develop personalized preventive and therapeutic interventions (precision medicine).

Read more about our research here: https://www.ludc.lu.se/research/genetic-and-molecular-epidemiology-game  

We offer 
Lund University is a public authority which means that employees get particular benefits, generous annual leave and an advantageous occupational pension scheme. 

Read more on the University website about being a Lund University employee Work at Lund University 

Work duties 
We are seeking a research assistant to join an EU-funded project called ‘SOPHIA’ (Stratification of Obesity Phenotypes to Optimize Future Obesity Therapy), as part of the Innovative Medicine Initiative (IMI). For this position, we are looking for an individual to join us in investigating the relationship between obesity and type 1 diabetes (T1D). You will be working as part of a dynamic, international team consisting of clinicians, biologists, and data scientists from both academic settings and the pharmaceutical sector. The assistant researcher will use their skills in computational biology, bioinformatics and/or biostatistics to create evidence from observational and clinical trial data sources, as well as to support the project stakeholders. The candidate will participate in meetings within the SOPHIA-T1D work packages and also liaise with researchers in other SOPHIA work packages (who are investigating related topics, such as obesity and type 2 diabetes). The SOPHIA-T1D team is distributed across multiple countries; interactions with colleagues will be facilitated by frequent virtual and in-person meetings, where feasible. 

Qualification requirements 

•  Hold a PhD in a statistics-focused health discipline, such as bioinformatics, computational biology, biostatistics, or similar, for at least 5 years.
•  Expertise in statistics/biostatistics, data science and machine learning. 
•  Expertise in programming in R and Python.
•  Proficient in Linux-based cluster usage.
• We are looking for a driven person with enthusiasm for collaboration.
• Strong verbal and written communication skills in English are also essential, as the assistant researcher will give presentations and author documents for both scientific and lay audiences. 

Additional qualifications for the position are:

•  Expertise in epidemiology.
•  Expertise in obesity and/or T1D and T2D.
•  Experience working with medical data, including genomic/other omic data (e.g. proteomics, lipidomics, etc.) 
•  Previous IMI Consortium experience.
•  Knowledge of clinical trials.

Further information 
The position is a fixed term position (ALVA) for two years at 100 per cent of full time and starting as soon as possible. 

How to apply 
Applications are to be submitted via the University’s recruitment system. The application should include a CV and a personal letter justifying your interest in the position and how it matches your qualifications. The application should also include a degree certificate.