Research Fellow (Fixed-term)
- University of Nottingham
- United Kingdom, LND
- Jun 2, 2026
Job Description:
About the role –
We are seeking an enthusiastic and motivated researcher to join an exciting project investigating the genetic factors underlying accelerated brain ageing in people living with multiple sclerosis (MS). In this role, you will work with largeâscale data resources, including genomic and transcriptomic datasets, and link these findings with populationâbased health record data.
You will be responsible for planning and conducting highâquality research using appropriate analytical and methodological approaches. This includes contributing to study design, implementing statistical and computational techniques, and interpreting complex datasets. A key part of the role will involve preparing your research outputs for publication in peerâreviewed journals and presenting findings within internal and external research networks.
This position also offers the opportunity to contribute creatively to the direction of the project— identifying promising areas for further investigation, developing new analytical methods, and strengthening your research portfolio in genomic medicine and neurodegenerative disease.
About the team-
You will join a wellâestablished and collaborative research group at the University of Nottingham, led by Drâ¯Karim Kreft, Clinical Associate Professor and Honorary Consultant Neurologist. The team’s research focuses on leveraging genomic data to predict longâterm MS outcomes, developing novel analytical methodologies, and ultimately improving clinical care to prevent disability progression.
In this role, you will also work closely with the Neurology team at Cardiff University and the data science experts at the SAIL (Secure Anonymised Information Linkage) Databank at Swansea University. This collaborative environment will provide excellent opportunities for crossâinstitutional learning, mentorship, and access to worldâleading data resources.
About you-
You will hold a PhD—preferably in genomics, transcriptomics, data science, or a related discipline—and demonstrate strong skills in statistical programming, particularly in R and/or Python. Experience working with linked health records is desirable, as is familiarity with largeâscale biological datasets. You should be able to work independently, communicate effectively, and contribute to teamâbased problem solving.
What we offer-
· A friendly, diverse and supportive research environment with excellent training and careerâdevelopment opportunities
· Generous holiday entitlement of 30 days (or pro rata) plus standard bank holidays and five university closure days including closure between Christmas and New Year.
· Our reward scheme grants bonuses of numerous values for excellent work
· You will have access to a range of benefits and rewards, including fitness and health facilities, staff discounts, travel schemes and many more. To find out more about what we can offer you, follow the link to our benefits website
This is a full-time position and your working hours will be 36.25 hours per week for 18 months.
What next-
Informal enquiries are welcome and can be directed to Karim Kreft ([email protected]). Please note that applications sent directly to this email address cannot be accepted. Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details.
Closing Date: 30 Jun 2026
Category: Research and Teaching (R&T)
Job ID:
Location:
Discipline:
Job Views:
Job Description:
About the role –
We are seeking an enthusiastic and motivated researcher to join an exciting project investigating the genetic factors underlying accelerated brain ageing in people living with multiple sclerosis (MS). In this role, you will work with largeâscale data resources, including genomic and transcriptomic datasets, and link these findings with populationâbased health record data.
You will be responsible for planning and conducting highâquality research using appropriate analytical and methodological approaches. This includes contributing to study design, implementing statistical and computational techniques, and interpreting complex datasets. A key part of the role will involve preparing your research outputs for publication in peerâreviewed journals and presenting findings within internal and external research networks.
This position also offers the opportunity to contribute creatively to the direction of the project— identifying promising areas for further investigation, developing new analytical methods, and strengthening your research portfolio in genomic medicine and neurodegenerative disease.
About the team-
You will join a wellâestablished and collaborative research group at the University of Nottingham, led by Drâ¯Karim Kreft, Clinical Associate Professor and Honorary Consultant Neurologist. The team’s research focuses on leveraging genomic data to predict longâterm MS outcomes, developing novel analytical methodologies, and ultimately improving clinical care to prevent disability progression.
In this role, you will also work closely with the Neurology team at Cardiff University and the data science experts at the SAIL (Secure Anonymised Information Linkage) Databank at Swansea University. This collaborative environment will provide excellent opportunities for crossâinstitutional learning, mentorship, and access to worldâleading data resources.
About you-
You will hold a PhD—preferably in genomics, transcriptomics, data science, or a related discipline—and demonstrate strong skills in statistical programming, particularly in R and/or Python. Experience working with linked health records is desirable, as is familiarity with largeâscale biological datasets. You should be able to work independently, communicate effectively, and contribute to teamâbased problem solving.
What we offer-
· A friendly, diverse and supportive research environment with excellent training and careerâdevelopment opportunities
· Generous holiday entitlement of 30 days (or pro rata) plus standard bank holidays and five university closure days including closure between Christmas and New Year.
· Our reward scheme grants bonuses of numerous values for excellent work
· You will have access to a range of benefits and rewards, including fitness and health facilities, staff discounts, travel schemes and many more. To find out more about what we can offer you, follow the link to our benefits website
This is a full-time position and your working hours will be 36.25 hours per week for 18 months.
What next-
Informal enquiries are welcome and can be directed to Karim Kreft ([email protected]). Please note that applications sent directly to this email address cannot be accepted. Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details.
Closing Date: 30 Jun 2026
Category: Research and Teaching (R&T)
Posted:
