Machine Learning-Jobs in Deutschland

We’re in relentless pursuit of breakthroughs that change patients’ lives. We innovate every day to make the world a healthier place.

To fully realize Pfizer’s purpose – Breakthroughs that change patients’ lives – we have established a clear set of expectations regarding “what” we need to achieve for patients and “how” we will go about achieving those goals.

Pfizer Research & Development serves as the beating heart of Pfizer's trailblazing product pipeline, the essence of our mission to bring life-changing medicines to the world.

A career at Pfizer offers opportunity, ownership and impact.

2 year temporary contract

This role is part of the Pfizer Postdoc program

Pfizer’s biomedical AI hub is seeking a passionate and creative machine learning researcher to design and implement new machine learning tools to accelerate drug discovery. The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for generative chemistry and contrastive learning for drug discovery.

S/he will design new approaches to derive insights from Pfizer’s proprietary data and external datasets to generate testable hypotheses across the drug discovery continuum. The individual will also design, establish, and manage internal and external collaborations to advance Pfizer’s ML capabilities.

1. Principal downstream application domains include, indication expansion, target selection, disease mechanism elucidation, and patient selection, partnering with practitioners in these areas to advance the state-of-the-art.
2. Develop innovative machine learning approaches that leverage the plethora of Pfizer's proprietary data in conjunction with external data sources to advance drug discovery and identify novel disease treatment mechanisms.
3. Develop a Pfizer internal knowledge-graph for internal and external biomedical data and predict new links for hypothesis generation.
4. Advance the internal graph learning tech-stack to cope with spurious correlation, obscuring variation and inherent multimodality of biomedical, chemical, and -omics data.
5. Research, design and implement graph learning algorithms for analysis problems related to drug discovery and development.
6. Be an active member of a highly interdisciplinary team.
7. Conceive, execute and evaluate studies and experiments, interpret the results and present them to scientists in other functions.
8. Generate direct impact on our discovery projects to help patients.
9. Strengthen external visibility and scientific excellence through publishing/presenting work in reputed journals and conference/workshop venues and engaging with the scientific community.

1. Formal training in Physics, Chemistry, Biology, Computational Biology, Statistics, or a related technical discipline.
2. PhD and relevant research experience in developing machine/deep learning-based solutions and a sincere interest in computational life sciences.
3. Hands-on experience in handling, processing, integrating, and analyzing large heterogeneous data sets related to industrial drug discovery research with one or more scientific data modalities.
4. Highly creative person with outstanding problem-solving skills to tackle complex analysis tasks in a timely fashion.
5. Strong publication record and demonstrated contributions to the field.
6. Solid expertise with ML libraries such as PyTorch, Lightning, TensorFlow is mandatory! Programming skills in Python must be top-notch. Experience with relevant libraries of the Python scientific stack is a big plus.
7. Familiarity with GPU computing both on-premises and on cloud platforms.
8. Passion and curiosity for data and proven ability to take ideas from prototype to production.
9. Strong interpersonal skills, distinct collaborative attitude, excellent written and verbal communication.

Breakthroughs that change patients' lives – In order to fulfill our corporate purpose, a value-oriented corporate culture guides our actions. Pfizer's values are: Courage, Excellence, Equity & Joy.