Postdoctoral position in computational pathology and cancer precision medicine - Hiring in process/Finished, not possible to apply

Do you want to contribute to top quality medical research?

Call for Precision Medicine Postdocs within computational pathology/data science/AI Machine Learning - A unique collaboration between two of the world’s foremost medical institutions: Karolinska institutet & Oslo university hospital in partnership with AstraZeneca (pharmaceuticals)

Are you interested in identifying and implementing predictive biomarkers in Lung or Breast Cancer, using advanced predictive analytics and AI? Do you have the skills and the mindset to exploit health data from multiple sources using machine learning / AI towards improved diagnosis and outcomes for cancer patients? This is YOUR opportunity to join key experts from leading cancer institutes and AstraZeneca to make a difference for patients.

This position is focused on Breast Cancer and is based at Karolinska Institutet, Department of Medical Epidemiology and Biostatistics (MEB), Stockholm, Sweden.

Karolinska Institutet is one of the world’s foremost medical universities, KI accounts for the single largest share of all academic medical research conducted in Sweden. KI also offers the country’s broadest range of education in medicine and health sciences. The Department of Medical Epidemiology and Biostatistics (MEB) is among the largest departments of epidemiology and biostatistics in Europe. The Department consists of researchers, doctoral students, biostatisticians, data collectors and database administrators as well as administrative personnel, in total some 250 staff and is situated at campus Solna. Further information can be found at ki.se/meb..

Your mission

Our ambition is to discover innovative ways to stratify patients and to identify predictive and prognostic biomarkers by machine learning and AI. This postdoctoral position is focused on development and validation of methodologies for analysis and modelling of breast cancer histopathology image data together with clinical information. Machine learning and deep learning techniques are central in this computational pathology project aimed at improving phenotyping and patient stratification. The project is based on unique and large in-house datasets that include both image data together with clinical information and outcomes. The role would suit applicants who are interested in developing a career in AI/ML and data-driven cancer precision medicine.

Duration: 2 years initially with an additional 1 year merit-based extension.

Your profile

We are looking for passionate individuals in their final year of graduate studies (PhD or equivalent) or working as postdoctoral researchers within two years of receiving their PhD degree (Note: Final year graduates must have submitted and defended their PhD thesis prior to the preliminary start date)

We believe that you have a strong research background in e.g. applied AI/machine learning, computer vision, statistics or data science, and prior experience of medical research. The successful candidate will join an interdisciplinary research team that has strong collaborations with clinical experts and other national and international research groups.

Prior experience in Python programming, and prior experience of working with common deep learning frameworks, such as Tensorflow/Keras or Pytorch, is required. It is desirable that the candidate has prior experience from large-scale analysis of biomedical data and/or applied machine learning/deep learning/AI. Prior experience in computational pathology or medical image research in general is desirable.

The applicant should be able to collaborate as part of a team as well as independently and be able to organize and prioritise his/her own tasks with minimal supervision. Excellent written and oral communication skills in English are required.

Note: Successful applicants will require valid work visas for Schengen (EU EEA).

For further information please contact Associate Professor Mattias Rantalainen (email: mattias. rantalainen@ki.se)

What we offer

Successful candidates will be awarded a fully funded postdoctoral position, joining a vibrant scientific community within academia and pharma. If selected, you will have access to leading expertise, unique large-scale data, and the mentoring support needed to turn ideas into reality.

Both academic supervisors and AstraZeneca mentors will be assigned to each postdoctoral fellow, offering you the freedom and autonomy to contribute your unique skills, plus the support to rapidly learn new approaches to follow the science, innovate and make a tangible impact. You are expected to regularly present at national and internal workshops, seminars and conferences and contribute to publications in leading journals.

Karolinska Institutet is a state university, which entitles you to several benefits through our collective agreement.

Location: Solna

Choose to work at KI – Ten reasons why

Application

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

• A cover letter that includes a summary of current work and statement of research interest (no more than one page)
• A complete CV, 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

Welcome to apply at the latest 20th of April 2023

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