Deep Learning Engineer

Website Inductiva Research Labs

Contributing to science using Machine Learning

You will be part of a team applying advanced Deep Learning techniques to fundamental problems in Molecular Biology. This can involve dealing with genetic or proteomic datasets, creating ML models that process sequential data about genes and proteins, model their 3d geometry as well as interactions they establish among themselves and with different molecules. You will make use of concepts from Geometric Deep Learning, such as Graph Neural Networks, and try to incorporate physical, geometric and evolutionary priors with other sources of experimental data, into an end-to-end learning architecture.

In this position, you will be spending a lot of your time modeling Biology problems from the perspective of Machine Learning. You will not be alone in this challenge. You will interact with people of different backgrounds, ranging from Computer Science, Mathematics, Physics, to Biology experts. The kind of work you will be doing involves a lot of ML exploration and experimentation. We will be trying to keep the cycle idea-implementation-experiment as agile as possible, by having clear metrics and good ML infrastructure and best-practices in software engineering.


(more details on the application link)


Data Science Portugal retains the right to refuse to post jobs from any employer or any organization that do not support the interests and values of Data Science Portugal and its community.

Postings are based on the information provided by the employer and is of their entire responsibility.

Data Science Portugal makes no guarantee about positions listed and is not responsible for safety,wages, working conditions, or other aspects of employment. It is the responsibility of each individual job seeker to research the integrity of the organization(s) to which he/she is applying and to verify the specific information pertaining to the job posting. Job seekers should exercise due diligence and use common sense and caution when applying for or accepting any position.

We will not post jobs that appear to discriminate against applicants on the basis of race, color, religion, creed, age, national origin, sexual orientation, disability, or gender.

To apply for this job please visit