.Associate Director, AI Scientist - Audio and Signal Processing Barcelona (ESP), Gothenburg (SWE), Cambridge (UK), Gaithersburg (US), Toronto (CAN)Competitive Salary + Benefits Make a more meaningful impact to patients' lives around the globe.
Here you'll have the opportunity to make a meaningful difference to patients' lives.
With science at its heart, this is the place where breakthroughs born in the lab become transformative medicines - for the world's most complex diseases.
Answer unmet medical needs by pioneering the next wave of science, focusing on outcomes and shaping the patient ecosystem.
With our ground-breaking pipeline, the outlook is forward-thinking.
Be proud to be part of a place that has achieved so much, yet is still moving forward.
There's no better time to join our global, growing enterprise as we lead the way for healthcare and society.
We innovate together with our leading biologists, chemists, and clinicians to close the gap between today's challenges and the forefront of machine learning.
If you want to have an impact on transforming patients' lives by accelerating new medicines to patients, this may be the position for you!
What you'll do In this role, you will design, implement, test, and analyze machine learning algorithms to help contribute to the overall improvement and automation of the drug discovery pipeline.
You will work on feasibility studies, discovery, development, and deployment of machine learning models.
You will be required to interact extensively with other teams across the organization, and our academic partners with the goal of delivering products in a timely manner.
It is expected that you will present to various stakeholders, represent us at conferences, and publish your findings in scientific journals or top conferences such as ICML, NeurIPS, ICLR, TASLP, TSP, Interspeech, ICASSP, etc.
Accountabilities Work efficiently in a team of 3-10 (led by a Senior AI Researcher) to optimally deliver projects using the latest ML methods and modern engineering best practices.
Analyze challenges from the drug development process and provide creative solutions from the fields of representation learning, audio and signal processing, active learning, statistical learning theory, ranking and recommendation.
Remain at the forefront of ML Research by participating in journal clubs, mentoring, contributing publications and personal development projects.
Examples of projects this team works on are discovery of novel and non-invasive biomarkers, patient screening and diagnostics, discovery of novel clinical endpoints, longitudinal patient tracking, exacerbation prediction, and management of therapeutics.
Essential for the role PhD degree in computer science, electrical engineering, statistics, applied mathematics, related field, or a completed MSc and at least 3 years of experience in developing machine learning models.
At least 3 years of experience in developing machine learning models