Do you want to make a real difference?

Join a unique journey where you modify AI models to track DNA fragments from cancer metastases in blood. This groundbreaking project with DNA data aims to predict cancer development early and truly make a difference in people's lives.

ABOUT THE POSITION

In this role, you will work to modify and train advanced AI models to analyze DNA data and identify cancer markers. You will be part of a dynamic and interdisciplinary team where your expertise in deep learning drives the research forward. Their focus is on finding new ways to track DNA fragments in blood samples from cancer patients to locate metastases at an earlier stage.

What We Offer

Here, you will work in a social and welcoming team that provides a stimulating and meaningful work environment where you contribute to groundbreaking cancer research. The team is very informal with high competence and motivation, where the passion for research is strong.

The assignment is a consulting assignment via us at Academic Work, and the project initially lasts for 6-7 months.

RESPONSIBILITIES

Tasks

As a developer, you will work on a unique bioinformatics project. The main task is to modify and train advanced AI models to analyze DNA fragments from blood samples, with the goal of early detection of cancer metastases. The main task consists of developing a custom AI model. This involves taking an existing base model (BART) and using PyTorch to program and implement a new, specialized layer on top of it. You will then be responsible for training, fine-tuning, and testing the modified model with their DNA dataset.

• Modify an existing AI model (BERT/BART) using PyTorch.
• Train and test the new model on simulated data.
• Generate synthetic datasets for model training.
• Modify the base model using Torch.
• Document all work in GitHub.

WE ARE LOOKING FOR YOU WHO

• Has a bachelor's degree in a relevant field
• Has experience in programming in Python.
• Has experience with the Torch framework.
• Knowledge of documenting all work in GitHub and keeping logs.
• Ability to work carefully and methodically.
• Fluent in English, both spoken and written.

It is a merit if you have:

• Experience with AI models such as BERT/BART
• Background in DNA sequencing
• Biological/medical background

To succeed in the role, you have the following personal qualities:

• Goal-oriented
• Organized
• Responsible

It is also important that you are communicative, open, and have an easy time working with others.

Our Recruitment Process

This recruitment process is managed by Academic Work, and our client's request is that all questions regarding the position are sent to Academic Work.

We apply continuous selection and will take down the ad when enough candidates have reached the final stage of the recruitment process. When applying, a CV is requested. A cover letter is not used as a selection method and therefore does not need to be attached. The recruitment process includes two selection tests: a personality test and a cognitive ability test. The tests are a tool to find the candidate with the highest potential for the position and to promote equality, diversity, and a fair recruitment process.

INFORMATION ABOUT THE COMPANY

Lund University is one of Northern Europe's most prestigious and international institutions, known for its world-class research. On-site, you will have the opportunity to work in a dynamic, multidisciplinary, and highly academic environment where the passion for knowledge is at the center. The institution offers a unique and stimulating environment where you can drive groundbreaking research that saves lives.