We are looking for a new colleague who can lift our company on the data side to predict treatment outcome for cancer patients.

We expect you to be a curious and self-driven, bioinformatician or to have another relevant background that can help us thrive by analyzing large datasets and handling RNAseq data.

About Aida

Aida, recently accepted into BII’s Venture House program, is pioneering a transformation in cancer treatment. Our aim is to predict, on an individual basis, which is the BEST drug to give any one patient at any one time. By doing so, we aim to improve the effectiveness of oncology therapeutics from the current level of c. 25% to over 50% and, eventually, even higher. Right now, a patient has, on average, only c. 25% chance of benefitting from any given cancer treatment. This is, above all, very bad for the patient. But it is also costly for the healthcare system and demotivating for medical staff. Aida aims to deliver an improvement for all three groups.

We do this by applying AI/ML technologies to make predictions based on the RNA expression pattern of a patient’s tumor, building a predictive signature for each drug based on the expression of several hundred genes. Unlike existing approaches, we are not reliant on the presence of specific biomarkers. One sample can, in principle, be used to rapidly predict the utility of all cancer drugs for that patient.

We plan to build this into a minimal viable product/service and extend our capabilities to cover the majority of around 330 currently approved cancer drugs.

We have already developed a predictive signature for the drug epirubicin – a highly effective, but also highly toxic anticancer drug, and are currently aiming to launch this product in Danish hospitals while simultaneously work on developing biomarkers for treatment efficacy of other drugs.

Our team has successfully built early-stage life-science ventures before, including in the oncology space. We have collaborations with Rigshospitalet, DBCG (Danish Breast Cancer Cooperative Group),FarGen (the Faroese national genome project), and JADBio (an AI/ML technology provider based in Crete). We are located within BII in Copenhagen, where you will find the most vibrant start-up ecosystem in Denmark.

Your Role and background

You will be part of a team aiming to reach the ambitious goal of matching cancer patients with the most effective drug for them and you will engage with computer scientists, molecular biologists, and clinicians to help build predictive algorithms.

Education

You have either of the following:

A master’s degree or higher in bioinformatics, or

A bachelor’s degree in biology, biochemistry or similar and a master’s degree or higher in computer science, statistics or similar (or vice versa).

Essential skills

- Coding in R at an intermediate level and some experience of Python.

- Experience of standard machine learning and deep learning methods (lasso, random forest, simple neural networks etc.) – preferably in R and/or Python.

- Solid grasp of statistics.

Preferred skills

- Experience of downloading and processing microarray and RNA-seq gene expression data from database repositories (e.g. Gene Expression Omnibus).

- Knowledge of analysis of biological pathways and gene interactions.

- Comfortable with working in Unix environments.

You may not meet all of these requirements – but if you think you might fit the role, we’d welcome your application.

Please apply in writing with your CV to our CEO, Ulla Buhl via jobs@aidaoncology.com.

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