Project assistant in precision medicine - Hiring in process/Finished, not possible to apply

Description of the workplace
At Clinical Sciences Malmö, research is conducted in precision medicine with a focus on cardiometabolic diseases. The activity takes place within the Genetic and Molecular Epidemiology Unit, located at Lund University’s Helsingborg Hospital campus in Helsingborg.

Within the research group, we maintain a good working environment with respect and consideration in our relationships with each other and strive for a workplace where employees feel able to develop in their professional roles and are treated with humility and respect by their coworkers. We strive to create work conditions that endow a sense of satisfaction, self-development and participation for all employees. We protect both physical safety and psychosocial well-being.

What we offer
Lund University is a state authority, which means you get special benefits, generous holidays and a favourable occupational pension. We also have a flexible time agreement that creates good conditions for balance between work and leisure.

Read more on the university's website about being employed at Lund University, Work with us. 

Work duties
In the role as Project Assistant you will use machine learning and other advanced statistical techniques to develop precision prediction models using large multimodal datasets. Assist writing and submitting grant applications. Work as a member of large international collaborative projects and other administrative tasks related to scientific aspects of the workplace including assisting with organisation of scientific symposia and working group meetings. The work is based at Lund University’s Helsingborg Hospital campus.

Qualifications
Required qualifications: 

• Master's degree or the equivalent of more than 240 credits in epidemiology, statistics or closely related fields.
• Track-record of clinical practice (i.e., a medical education with clinical practice experience), particularly in low- or middle-income settings, particularly in Asia and South America.
• Clear evidence of training and research experience in areas related to precision medicine.
• Competency in data analysis (including coding in R, Stata and Python).
• Management (with SQL), with special emphasis on machine and deep learning methods, referencing software (e.g. Endnote).
• Excellent written and oral communication in English.
• We are looking for someone who is motivated, meticulous, and well-organized.

Meritorious for the position:

• Experience working with industry partners.
• Training in global health and real-world data analysis and interpretation.
• Working knowledge of clinical practice in regions where work is planned.
• Fluency in English and in at least one other language (e.g. Mandarin, Malay, Spanish) of a collaborating institution.

Other
This is a full-time, fixed-term position (SÄVA) for 12 months with starting day January 1, 2026 or by agreement. 

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 or equivalent and any other document to which you would like to draw attention (copies of grade transcripts, details of referees, letters of recommendation, etc.)”