# Principal Machine Learning Scientist (all genders)

**Company**: Bayer
**Location**: Berlin
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: 104,300€ - 126,500€ per year
**Category**: IT
**Industry**: Healthcare
**Wikidata**: https://www.wikidata.org/wiki/Q152051

**Apply**: https://talent.bayer.com/careers/job/562949977710542?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_9f4fa073-74a

## Description

At Bayer, we're visionaries driven to solve the world's toughest challenges and strive for a world where 'Health for all, Hunger for none' is no longer a dream, but a real possibility.

As a Principal Machine Learning Scientist, you will develop novel machine learning algorithms and workflows for protein modeling and design, including protein-protein and protein-ligand modeling. You will shape the future of drug discovery and collaborate with an international team driving innovative solutions for biomedical research.

**Your Tasks and Responsibilities:**

- Lead the development, evaluation, and application of machine learning algorithms and workflows to accelerate early-stage drug discovery, including de-novo design of biomolecules

- Assess target druggability across therapeutic modalities and design drug delivery systems

- Identify novel druggable pockets and epitopes and characterize protein-protein and protein-ligand interactions

- Implement, validate, and improve machine learning tools and software solutions that support drug discovery

- Identify opportunities to accelerate ongoing drug discovery projects through internal and external AI capabilities

- Communicate, educate, and engage with stakeholders such as chemists, biologists, computational/data scientists, and R&D leadership

- Engage with the broader scientific community through publications, talks, and open-source contributions

- Keep up to date with the latest advances in AI-driven modeling of biomolecular structure and dynamics

**Who You Are:**

- Hold a PhD degree in Computational Chemistry/Biology, Chemical/Biological/Molecular Engineering, Computer Science, or a related field with strong capabilities at the intersection of life sciences and computer science

- Bring several years of professional experience after your PhD, including initial experience in the industry

- Have experience with state-of-the-art machine learning methods for co-folding of biomolecules and de-novo protein design

- Skilled in handling, processing, integrating, and analyzing large datasets related to drug development research, including biochemical, biophysical, and structural biology data

- Experience with established, physics-based protein modeling methods such as Molecular Dynamics and/or Rosetta

- Demonstrate strong programming skills in Python

- Committed to scientific rigor, possess strong analytical thinking skills, are highly self-motivated, and have a proven track record of scientific excellence

- Excellent written and verbal communication skills in English

**What We Offer:**

- Competitive salary between 104,300€ and 126,500€ per year (full-time) plus a variable component

- Flexible work models, including hybrid work and part-time arrangements

- Support for your family, including company daycare centers, support in finding childcare, and time off for the care of elderly or dependent family members

- Access to learning and development opportunities, training programs, and coaching and mentoring programs

- Health awareness and opportunities for self-care, such as free health checks with the company doctor

- Inclusive work environment that welcomes and supports diversity

## Skills

### Required
- Machine Learning
- Protein Modeling
- Python
- Computational Chemistry
- Biological Engineering
- Computer Science

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Source: [Apply at talent.bayer.com](https://talent.bayer.com/careers/job/562949977710542?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)