Key skills
CloudKerasNumpyPandasPythonPyTorchTensorflowAIMachine LearningMLDeep LearningTensorFlowNumPyMLOpsAnalyticsCommunication
About this role
Role Overview
- Develop AI/ML solutions for drug discovery
- Collaborate with cross-functional teams to enhance experimental workflows
- Create predictive models to explore chemical space
- Integrate machine learning into laboratory processes
Requirements
- PhD in Data Science, Computational Science, or a related drug‑discovery field
- Strong, hands‑on expertise in data science, machine learning, and modern AI approaches
- Proven ability to design, evaluate, and customize deep learning architectures
- Proficiency in Python with experience using deep‑learning frameworks (PyTorch, TensorFlow, or Keras)
- Strong working knowledge of scientific libraries (NumPy, SciPy, Pandas)
- Experience or affinity with cloud computing and MLOps practices
- Experience in data analytics, predictive modeling, and AI-assisted molecular design
- Familiarity with biology and/or chemistry (desired)
- Strong communication, organizational, and interpersonal skills
Tech Stack
- Cloud
- Keras
- Numpy
- Pandas
- Python
- PyTorch
- Tensorflow
Benefits
- Competitive salary
- Annual performance bonus
- Health insurance
- 401(k) matching
- Flexible work arrangements
- Professional development opportunities
- Wellness programs
- Paid time off