We're Hiring: Drug Discovery Scientist - AI-Assisted Molecular Research
generalAI GmbH
| Zug, Switzerland | Full-time | €85,000 - €110,000/year
The Opportunity
We're at the frontier of pharmaceutical AI. Our proprietary
36-algorithm ASI/AGI system
has already identified
348 novel drug candidates
across oncology, neurology, immunology, and cardiology—representing
$1.85 trillion in addressable market value
.
We're hiring a
Drug Discovery Scientist
to lead our computational initiatives and help us transform drug development from years to weeks.
What You'll Own
* AI-Driven Molecular Design
: Use neural and neuro-symbolic algorithms to design novel compounds in real-time
* High-Throughput Virtual Screening
: Execute screening campaigns against disease targets (48-hour turnarounds)
* Predictive Modeling
: Build and validate SAR/QSAR/ML models that actually predict in vitro/in vivo outcomes
* GPU-Accelerated MD Simulations
: Run FEP+, MD, and docking on our RTX 4090 cluster (8× cards, 180x speedup)
* Pharma Partnerships
: Collaborate directly with Novartis, Roche, GSK network on discovery programs
* IP & Publications
: Patent novel compounds and methodologies; publish in
Nature
,
Science
,
JACS
* Set Direction
: Shape our platform roadmap as an early team member
What We Need
Must Have:
* PhD in Chemistry, Biology, Biochemistry, or related (or 5+ years equivalent industrial experience)
* 3-8 years in computational drug discovery, cheminformatics, or structural biology
* Python mastery
: NumPy, Pandas, Scikit-learn, PyTorch
* Experience with molecular tools:
RDKit, PyMOL, Maestro, GROMACS
(or equivalents)
* 2+ peer-reviewed publications (computational or experimental)
* Native/fluent English
Nice to Have:
* Deep learning for molecules (graph neural networks, transformers)
* CUDA/GPU computing (PyTorch, TensorFlow)
* Pharma R&D background (Novartis, Roche, Merck, BioMarin, etc.)
* HPC/cluster computing (SLURM, job submission)
* Experience with docking, FEP, or MD software
* Patent authorship
Details
* Location
: Zug, Switzerland (hybrid: 2-3 days on-site)
* Start Date
: January 15, 2026 (flexible for right candidate)
* Travel
: <5% (occasional pharma partner visits)
How to Apply
Email
:
Subject
: "Drug Discovery Scientist Application - [Your Name]"
Include
:
1. CV (with publication links)
2. Cover letter (1 page max) - tell us your most impactful drug discovery project
3. Publication list or links to your top 3 papers
4. Brief self-assessment of you chemistry skills
Deadline
: December 20, 2025 (rolling review; apply early)
Learn More
* Platform
: 36-algorithm ASI system | 348 drug candidates | 100% accuracy validation
* Infrastructure
: 8× RTX 4090 GPUs | Local inference (<100ms latency) | MCP-integrated real-time optimization
* Portfolio
: $1.85T addressable across 76 therapeutic areas
* Competitive Moat
: 18-24 months to replicate our neuro-symbolic approach
generalAI GmbH
—
Building the future of drug discovery with AI
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|
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|
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|
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|
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