Biostatistician to the Clinical Memory Research group

Description of the research group

The research group Clinical Memory Research at the Department of Clinical Sciences Malmö conducts leading research on biomarkers for Alzheimer's disease and other neurodegenerative diseases, such as Lewy body dementia and Parkinson's disease. The research, which has received international recognition through the BioFINDER projects, has for several years been at the forefront of the field of fluid-based biomarkers and brain imaging, enabling early and accurate detection, diagnosis, and prognosis of disease.

The group is led by Associate Professor Sebastian Palmqvist and Associate Professor Niklas Mattsson-Carlgren and consists of research and technical/administrative staff. The workplace is located at Biomedicinskt centrum (BMC) in Lund.

We collaborate closely with the Memory Clinic at Skånes universitetssjukhus in Malmö, where several of our researchers also work clinically. You can read more about our exciting research here

Project description View the project description on Lund University's website.

Tasks and responsibilities

As a biostatistician, you will work closely with the group's researchers and serve as a resource for statistical analysis. The primary task is to plan and perform statistical analyses for scientific articles and to compile data in various projects. The tasks include, among others:

plan and perform statistical analyses for scientific publications in collaboration with the group's researchers, e.g., regarding diagnostic precision (ROC analysis, cutoffs, calibration, prediction models) and longitudinal data (mixed models, time-to-event, etc.) compile and quality-assure analysis datasets from the group's databases in various projects produce clear figures and tables of publication quality based on data write reproducible and well-documented analysis code in R contribute to the U01 project's statistical analysis plan and pre-specified analyses, in collaboration with the project leader and statisticians at the American partners write drafts of method and results sections as well as review statistical parts of manuscripts provide statistical advice on study design, power calculations, and choice of method follow methodological developments in the field and introduce new tools and working methods to the group.

Qualifications

For the employment, the following are required:

a doctoral degree in statistics, biostatistics, epidemiology, or another relevant field with a clear statistical focus. The doctoral degree must be awarded no later than when the employment decision is made. very good knowledge of R, including data management and programming of reproducible analyses. very good ability to visualize data and create clear figures of publication quality. good knowledge of statistical modeling, especially regression models, methods for diagnostic precision, and analysis of longitudinal data. very good knowledge of English in speech and writing (English is the group's working language). great importance will be placed on personal qualities. The person we are looking for is meticulous and structured, has a good ability to explain statistical methods and results to clinicians and researchers, is service-oriented, and can work with several parallel projects and deadlines.

Meritorious for the employment are:

previous experience of statistical analyses of clinical or medical data, especially within biomarker, cohort, or dementia research. This is highly meritorious. knowledge within our research field: Alzheimer's disease and other neurodegenerative diseases (AD/ADRD). co-authorship of scientific publications and experience writing method and results sections or other supporting text sections in manuscripts. experience of writing statistical analysis plans and performing pre-specified analyses, e.g., within clinical trials or diagnostic validation studies. familiarity with using LLM-based AI tools in statistical work (coding, documentation, text drafting) and/or experience of machine learning on clinical data. experience of data management in databases (e.g., REDCap, SQL) and harmonization of variables between cohorts. knowledge of Python or other programming languages.

Other

The employment is a permanent position with a scope of 100% and commencement as soon as possible, by agreement. A probationary period of six months may be applied. Employments at Lund University are conducted in Sweden; you are therefore expected to be able to perform your work on-site in Lund.

Knowledge of Swedish is not a requirement for the employment. The project's working language is English.

How to apply

The position is applied for via the university's recruitment system. The application shall include a personal letter where you describe how you meet the qualification requirements and why you are interested in the position. The application should also include a CV, degree certificates, and any other documents you wish to invoke (copies of grades, information for references, letters of recommendation, etc.). The university applies individual salary setting. Please state your salary expectations in your application.

The university applies individual salary setting. Please state your salary expectations in your application.

The Faculty of Medicine is an operational area within Lund University, responsible for education and research in medicine, care, and health. Education takes place in close collaboration with healthcare and is well-anchored in the faculty's strong research tradition. The faculty's research spans a wide field within experimental basic research, patient-oriented clinical research, and health science research. The Faculty of Medicine, with over 1800 employees and 3000 students in Lund, Malmö, and Helsingborg, is a knowledge-intensive meeting place for students, teachers, and researchers from all over the world.

The Department of Clinical Sciences in Malmö is one of the six departments at Lund University's Faculty of Medicine. We have a strong focus on clinical and epidemiological research and also conduct extensive preclinical laboratory research.

We decline all contact from advertisers, recruitment, and staffing agencies due to government procurement rules.