Doctoral (PhD) student position in Molecular Epidemiology with application in Precision Health

Do you want to contribute to top quality medical research?

To be a doctoral student means to devote oneself to a research project under supervision of experienced researchers and following an individual study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required.

The Department of Medical Epidemiology and Biostatistics conducts research in epidemiology and biostatistics across a broad range of areas within biomedical science. The department is among the largest of its type in Europe and has especially strong research profiles in psychiatric, cancer, reproductive, pediatric, pharmaco, genetic, and geriatric epidemiology, eating disorders, precision medicine, and biostatistics.

Part of the success of our department is due to our collaborative spirit where one factor is that researchers at the Department share and co-finance common resources (e.g., IT and an applied biostatistics group). The department is situated at campus Solna. Further information can be found at http://ki.se/en/meb

This PhD program is part of the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS).

Data driven life science

Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of 3.1 billion SEK (about 290 MUSD) over 12 years from the Knut and Alice Wallenberg (KAW) Foundation.During 2024 the DDLS Research School will be launched with the recruitment of 20 academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see https://www.scilifelab.se/data- driven/ddls-research-school/

The future of life science is data-driven. Will you be part of that change? Then join us in this unique program!

The research group

The student will belong to the research group of aging epidemiology, which is involved in a wide variety of research projects, including molecular and genetic epidemiology, pharmacoepidemiology, as well as twin and family studies. The group contains about 20 people - from professor to PhD- and master students - with several different PI´s collaborating on many research topics within aging. Research interests are biological aging, frailty, genetics of dementia, polypharmacy in the old and many more. In this PhD project, we will also collaborate closely with the twin registry at KI and proteomics researchers at KTH and SciLifeLab.

The doctoral student project and the duties of the doctoral student

At the Department of Medical Epidemiology and Biostatistics at Karolinska Institutet, we are looking to fill the position as PhD student in data-driven life science.

Data-driven precision medicine and diagnostics covers data integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks, diagnosis, drug response and monitoring of health. The precision medicine research is expected to make use of existing strong assets in Sweden and abroad, such as molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks.

In this PhD project, we will use proteomic and genetic data from various cohorts to predict health risks. We aim to create organ-specific aging clocks from different proteomic platforms within the TwinGene cohort. These clocks will be explored using protein quantitative trait loci (pQTL), with the ultimate goal of identifying new genetic loci related to biological aging and enabling individualized risk assessments in Swedish cohorts.

What do we offer?

Choose to work at KI-Ten reasons why
Career support for doctoral students
International staff

A creative and inspiring environment full of expertise and curiosity. Karolinska Institutet is one of the world's leading medical universities. Our vision is to pursue the development of knowledge about life and to promote a better health for all. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. As a doctoral student you are offered an individual research project, a well-educated supervisor, a vast range of elective courses and the opportunity to work in a leading research group. Karolinska Institutet collaborates with prominent universities from all around the world, which ensures opportunities for international exchanges. You will be employed on a doctoral studentship which means that you receive a contractual salary. Employees also have access to our modern gym for free and receive reimbursements for medical care.

Eligibility requirements for doctoral education

In order to participate in the selection for a doctoral position, you must meet the following general (A) and specific (B) eligibility requirements at latest by the application deadline.

It is your responsibility to certify eligibility by following the instructions on the web page Entry requirements (eligibility) for doctoral education.

A) General eligibility requirement

You meet the general eligibility requirement for doctoral/third-cycle/PhD education if you:

1. have been awarded a second-cycle/advanced/master qualification (i.e. master degree), or
2. have satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the advanced/second-cycle/master level, or
3. have acquired substantially equivalent knowledge in some other way in Sweden or abroad.*

Follow the instructions on the web page Entry requirements (eligibility) for doctoral education.

*If you claim equivalent knowledge, follow the instructions on the web page Assessing equivalent knowledge for general eligibility for doctoral education.

B) Specific eligibility requirement

You meet the specific eligibility requirement for doctoral/third-cycle/PhD education if you:

- Show proficiency in English equivalent to the course English B/English 6 at Swedish upper secondary school.

Follow the instructions on the web page English language requirements for doctoral education.

Verification of your documents Karolinska Institutet checks the authenticity of your documents. Karolinska Institutet reserves the right to revoke admission if supporting documents are discovered to be fraudulent. Submission of false documents is a violation of Swedish law and is considered grounds for legal action.

(A) and (B) can only be certified by the documentation requirement for doctoral education.

Skills and personal qualities

Requirements:

• The applicant must have a master’s degree in biomedical or health sciences: epidemiology, gerontology, genetics, bioinformatics, biostatistics, statistics, medical biotechnology, or a related discipline, and have a strong interest in aging and proteomics.
• The applicant must have at least some knowledge or training in the biology of ageing, pharmaceuticals, modeling, proteomics, genetics, microbiology, metagenomics or similar.
• The applicant must have familiarity with handling large-scale data.
• The applicant must be fluent in written and spoken English.
• The applicant must be able to work well both in a team and independently, as well as having the ability to work well in an international environment.

Desirable:

• Programming skills in R and Python is considered a strong merit.
• Familiarity with literature search and reviewing and summarizing scientific articles.
• Knowledge of research in biological aging and proteomics. Familiar with ways of measuring aging.
• A keen interest in data-driven research and interdisciplinary science, including bioinformatics, systems biology, machine learning, or biostatistics, with a focus on practical applications and problem-solving.

We attach great importance to personal qualities in this recruitment. As a person, you are analytical, structured and can collaborate with others but can also work independently.

Terms and conditions

The doctoral student will be employed on a doctoral studentship maximum 4 years full-time.

Application process

Submit your application and supporting documents through the Varbi recruitment system. Use the button in the top right corner and follow the instructions. We prefer that your application is written in English, but you can also apply in Swedish.

Your application must contain the following documents:

- A personal letter and a curriculum vitae
- Degree projects and previous publications, if any
- Any other documentation showing the desirable skills and personal qualities described above
- Documents certifying your general eligibility (see A above)
- Documents certifying your specific eligibility (see B above)

Selection

A selection will be made among eligible applicants on the basis of the ability to benefit from doctoral education. The qualifications of the applicants will be evaluated on an overall basis.

Karolinska Institutet uses the following bases of assessment:

- Documented subject knowledge of relevance to the area of research
- Analytical skill
- Other documented knowledge or experience that may be relevant to doctoral studies in the subject.

All applicants will be informed when the recruitment is completed.

Want to make a difference? Join us and contribute to better health for all

1. Sara Hägg, sara.hagg@ki.se
2. Carina Olofsson Moreno, HR-partner, carina.olofsson.moreno@ki.se

1. Henry Wölling, SEKO, henry.wolling@ki.se
2. Ann Almqvist, SACO, ann.almqvist@ki.se
3. Niklas Andersson, OFR, niklas.andersson@ki.se