Post-doctoral researcher in biostatistics, AI and breast cancer imaging

Do you want to contribute to top quality medical research?

Introduction

Artificial intelligence (AI) will change the daily work of doctors, make diagnoses more accurate and treatment choices more likely to succeed.

During several years, our group has been collecting large amounts of medical data to perform evaluations of AI systems for breast cancer detection and to inform clinical decisions. We have hundreds of thousands of mammograms, thousands of ultrasound images and MRI exams, linked to clinical outcome data and radiologist image labels. We have collaborations with a number of medical AI companies whose commercial algorithms we can explore, along with academic research models.

Do you have a PhD or will obtain one in the next few months? Is the PhD in Biostatistics or Bioinformatics or similar field? Are you a curious person, thrilled by the possibility of having large amounts of data and where only imagination puts the boundary to what can be explored? Can you structure your thinking and be prudent and stringent when linking various data sets? Do you have coding skills in R and Python? Then, you should keep reading and apply for this exciting postdoctoral position.

Your mission

Our group

Our goal is to facilitate a safe and optimized introduction of AI methods in mammography and breast cancer care. Our research group is part of the Department of Oncology and Pathology at Karolinska Institutet, and the research leader Fredrik Strand is a breast radiologist at Karolinska University Hospital.

We have internationally well-established research for the development and evaluation of AI for radiological breast cancer diagnosis. Our group has expertise in radiology, biostatistics and machine learning. In addition, we have a strong collaboration with research groups at KTH. Our international collaborations include the University of California San Francisco and Berkeley.

We are now looking for a post-doctoral researcher from the fields of Biostatistics or Bioinformatics or similar field.

Your duties

You will be responsible for adding data to, and extracting data from, our proprietary database focused on breast cancer clinical outcomes and radiology images. You will perform statistical analyses to understand the performance and limitations of various AI algorithms. You are expected to write original research papers, and to produce written test reports to the parties providing the AI algorithms to us. We also encourage you to refine and improve the evaluation methodology we have established. You will be involved in interactions with both commercial and academic counterparts in Sweden and other countries.

Your profile

To be eligible for employment as a postdoctor a doctoral degree or a foreign degree deemed to be equivalent to a 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.

Qualifications

In your personal letter, please specify what concretely in your history support that you meet, and excel in, each of the qualifications listed below.

You must have:

• a PhD degree from 2020 or later (including expecting to receive your PhD degree during the next months)
• a PhD subject area of Biostatistics or Bioinformatics or similar field
• published at least two original research papers as first author where you conducted the statistical analysis
• excellent knowledge of biostatistics including evaluating medical diagnostic tests
• excellent coding skills in R
• good coding skills in Python
• excellent communication skills in English
• history and characteristics of a flexible team player

It is a merit if:

• you have a passion for doing something good for humankind, and especially to enable people live longer healthy lives
• the impact factors are high in the journals you have published as first author
• you have experience from research on medical images, especially radiology images
• you have experience from interacting with non-sql databases, especially MongoDB
• you have experience from automating statistical reporting
• you have professional experience from international collaborations with countries in the European Union and the United States

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: Solna

Choose to work at KI – Ten reasons why

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)

Welcome to apply at the latest 27^th May.

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

This position is 2 years, with possibility of extension. 

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

1. Fredrik Strand, fredrik.strand@ki.se

1. Helen Eriksson, OFR, helen.eriksson@ki.se
2. Henry Wölling, Seko, henry.wolling@ki.se
3. Per Hydbring/Nick Tobin, SACO, per.hydbring@ki.se/nick.tobin@ki.se