Biostatistician to the Clinical Memory Research group

Description of the research group
The Clinical Memory Research group 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, internationally recognised through the BioFINDER studies, has for several years been at the forefront of fluid biomarkers and brain imaging, enabling early and accurate detection, diagnosis and prognosis of disease.
The group is led by Senior Lecturer Sebastian Palmqvist and Senior Lecturer Niklas Mattsson-Carlgren and consists of research staff and technical/administrative staff. The workplace is located at the Biomedical Centre (BMC) in Lund.
We work closely with the Memory Clinic at Skåne University Hospital in Malmö, where several of our researchers also work clinically. Read more about our research
here
We are an international research group that values a good working environment characterised by respect and consideration. We strive for a workplace that is developing and stimulating for all employees, and we work continuously to create conditions that promote well-being, development and participation. We safeguard both physical safety and the psychosocial work environment.
What we offer
Lund University is a public authority, which means that you will have special benefits, generous annual leave and an advantageous occupational pension. We also have a flexitime agreement that creates good conditions for work/life balance.
Read more on the University’s website about being a Lund University employee,
Work at Lund University
Project
Description
The
position
is
primarily
associated
with
a
five-year
multicentre
project
(2026-2031)
funded
by
the
U.S.
National
Institutes
of
Health
(NIH)
through
a
U01
grant
for
the
clinical
validation
of
the
blood
biomarker
MTBR-tau243
in
Alzheimer's
disease,
conducted
in
collaboration
with
Washington
University
in
St.
Louis
,
the
University
of
Pennsylvania
,
and
the
University
of
Alabama
at
Birmingham
.
However,
the
work
will
encompass
the
activities
of
the
entire
research
group
and
involve
longitudinal
data
from
several
thousand
participants
in
the
BioFINDER
studies
,
including
blood
and
cerebrospinal
fluid
biomarkers,
PET
and
MRI
imaging,
cognitive
assessments,
genetics,
and
proteomics.
Work duties and areas of responsibility
As biostatistician you work closely with the group's researchers and serve as a resource for statistical analysis. The primary task is to plan and carry out statistical analyses for scientific papers and to compile data across projects. The duties include:
planning and carrying out statistical analyses for scientific publications together with the group's researchers, for example regarding diagnostic accuracy (ROC analysis, cutoffs, calibration, prediction models) and longitudinal data (mixed models, time-to-event, etc.)
compiling and quality-controlling analysis datasets from the group's databases across projects
producing clear, publication-quality figures and tables from the data
writing reproducible, well-documented analysis code in R
contributing to the U01 project's statistical analysis plan and pre-specified analyses, together with the Principal Investigator and statisticians at the US partner sites
drafting methods and results sections and reviewing the statistical parts of manuscripts
providing statistical advice on study design, power calculations and choice of methods
following methodological developments in the field and introducing new tools and ways of working in the group.
Qualifications
Requirements for the position:
a PhD in statistics, biostatistics, epidemiology or another relevant field with a clear statistical focus. The PhD must have been awarded by the time the employment decision is made.
excellent command of R, including data handling and programming of reproducible analyses.
a strong ability to visualise data and produce clear, publication-quality figures.
good knowledge of statistical modelling, in particular regression models, methods for diagnostic accuracy and analysis of longitudinal data.
excellent command of English, spoken and written (English is the group's working language).
great importance will be attached to personal qualities. We are looking for someone who is meticulous and structured, able to explain statistical methods and results to clinicians and researchers, service-minded and able to handle several parallel projects and deadlines.
Additional merits for the position:
previous experience of statistical analysis of clinical or medical data, in particular in biomarker, cohort or dementia research. This is a strong merit.
knowledge of our research field: Alzheimer's disease and related dementias (AD/ADRD).
co-authorship of scientific publications and experience of writing methods and results sections or other supporting text in manuscripts.
experience of writing statistical analysis plans and carrying out pre-specified analyses, for example in clinical trials or diagnostic validation studies.
experience of using LLM-based AI tools in statistical work (coding, documentation, drafting) and/or experience of machine learning on clinical data.
experience of data management in databases (e.g. REDCap, SQL) and harmonisation of variables across cohorts.
knowledge of Python or other programming languages.
Other information
This is a permanent position, 100 %, starting as soon as possible or according to agreement. A six months probationary period may be applied. Employment at Lund University is based in Sweden and you are therefore expected to carry out your work on site in Lund. Knowledge of Swedish is not a requirement for the position. The working language of the project is English
How to apply
Applications are made via the University's recruitment system. The application must include a cover letter describing how you meet the qualification requirements and why you are interested in the position, as well as a CV, degree certificate and any other documents you wish to refer to (copies of grades, contact details for references, letters of recommendation, etc.). The University applies individual salary setting; please state your salary expectation in your application.