Postdoctoral Researcher in computational cancer biology

Do you want to contribute to improving human health?

Decscription of the researchgroup

Our lab is advancing precision medicine through deep learning models of cancer cells. The models are trained on high-throughput datasets, including metabolomics, proteomics, and transcriptomics, and constrained to align with the molecular networks within cells. This allows us to identify systems-level mechanisms in cancer that can be used to uncover new biomarkers, drug targets, and paths to drug resistance.

We are specifically interested in cancer-stroma interactions in pancreatic cancer. The long-term goal of our lab is to enable computer-aided design of precision cancer medicine. We are situated at the Science for Life Laboratory (SciLifeLab) and this position is part of the Data Driven Life Science program (DDLS).

Your mission

You will develop a deep learning model of the tumor microenvironment (TME) in pancreatic cancer. In this role you will:

Design a high-throughput stimulus-response experiment in cancer and stroma cells, that will be conducted by our core facilities.
Use the data from this screen to train a model that simulates dynamic interactions between pancreatic cancer and stroma cells to uncover self-sustaining ligand secretion patterns, which could become the target of novel therapies.

If you're ready to make an impact in the fight against cancer and contribute to groundbreaking research at the intersection of deep learning and cell biology, we encourage you to apply!

Your profile

To be eligible for employment as a postdoctor a doctoral degree or a foreign degree deemed to be equivalent to a Swedish doctoral degree is required. This eligibility requirement must be fulfilled at the latest at the time of the employment decision. It is considered as an advantage if you have completed your doctoral degree within the last three years, if there are special reasons, your degree may have been completed earlier.

Other required qualifications:

Strong programming skills in languages such as Python.
Experience analyzing high-throughput biological data.
Proven ability to conduct independent research and communicate findings effectively.
Highly motivated with the ability to work both independently and collaboratively within a team.
Proficiency in written and spoken English.

Other Desirable Qualifications:

Familiarity with cancer biology, particularly in context of the tumor microenvironment.
Experience with deep learning models or automatic differentiation.
Experience with GitHub or other version control systems.
Experience designing high throughput experiments.

Our lab values diversity and inclusion, and we are committed to fostering an environment where all individuals feel empowered to contribute their unique perspectives and skills towards our shared goal of advancing precision cancer medicine.

What do we offer?

A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading medical universities. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. At KI, you get to meet researchers working with a wide range of specialisms and methods, giving you ample opportunity to exchange knowledge and experience with the various scientific fields within medicine and health. It is the crossover collaborations, which have pushed KI to where it is today, at the forefront of global research. Several of the people you meet in healthcare are educated at KI. A close relationship with the health care providers is important for creating groundbreaking top quality education and research. Karolinska Institutet is also a state university, which entitles you to several benefits through our collective agreement.

Location: Stockholm

[Video about a Karolinska Institutet, how we work towards "a better health for all"]

Application

An employment application must contain the following documents in English or Swedish:

A complete resumé, including date of the thesis defence, title of the thesis, previous academic positions, academic title, current position, academic distinctions, and committee work
A complete list of publications
A summary of current work (no more than one page)

The application is to be submitted through the Varbi recruitment system.

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