Structural Biologist

**About Insilico**

Insilico Medicine is an end-to-end, artificial intelligence (AI) -driven pharma
- biotechnology company with a mission to accelerate drug discovery and development by leveraging our rapidly evolving, proprietary platform across biology, chemistry, and clinical development.

**About Role**

We are seeking an enthusiastic structural biology researcher with strong skills in Python and expertise in protein, antibody, nanobody, and peptide engineering to join our Generative Biologics project. This project focuses on using AI to design biopolymer substances such as proteins, peptides, and antibodies for medical purposes.

Our team includes experts in medicinal chemistry and machine learning, and we're excited to add strong Structural biology expertise to the team. By joining us, you'll play a crucial role in advancing healthcare through the power of machine learning. If you're ready to be part of this exciting project, we encourage you to apply. Your career and our mission will thrive together.

**Place of work**

Level 6, Unit 08, Block A, IRENA HQ Building Masdar City, Abu Dhabi United Arab Emirates

**Reports to**

Andrew Aiginin

**Responsibilities**:

- Collaborate closely with experts in the fields of biology and machine learning to discover and develop novel algorithms for designing protein drugs
- Perform feature selection and feature engineering to represent biopolymers in neural network models
- Validate generative models and evaluate protein binding affinity, activity, stability, and other properties
- Conduct research and develop algorithms for predicting protein properties
- Create algorithms and models for optimizing and evaluating generated proteins

**General Requirements**:
**I. Education**

Bachelor’s degree/Master’s degree/PhD degree in Bioinformatics, Biochemistry, Chemoinformatics, Structural biology, Computational biology.

**II. Experience and Skills
- Background in Computational Chemistry, Structural Biology, Biophysics, or a related field.
- 3 years of experience in protein engineering projects (design and optimization of biologics)
- Familiarity with or expertise in biomolecular free energy, stability, thermostability, etc. calculations.
- Experience with protein-protein docking algorithms and software, as well as knowledge and understanding of the algorithms themselves.
- Proficiency in Python, Numpy, Pandas, Scikit-Learn, Git, PyMol, Biopython, Prody, and protein design and evaluation software.
- Knowledge of a software development pipeline, specifically GitLab.
- The ability to quickly test hypotheses with prototypes.
- The ability to work autonomously and successfully as part of a team.
- Knowledge and understanding of deep learning concepts and algorithms would be advantageous.

**III. Desirable skills**
- Experience with chemoinformatics and CADD.