Job Summary
We are seeking an exceptional Computational Chemist with deep knowledge 
in in silico tools for drug discovery who is creative and loves first 
principles-based challenges.

He/she will be responsible for the development and implementation of 
computational / AI models to increase the capabilities of our proprietary 
drug development platform, which has the potential to disrupt the 
existing drug discovery and clinical trial process.

Responsibilities
- Enhance our understanding of SAR and material properties and influence 
team strategy by assimilating and interpreting data using modeling and 
data-mining technologies.

- Apply and develop new approaches for biasing molecular designs using 
machine learning, scoring functions, and multiple-endpoint optimization 
methods.

- Apply a wide variety of drug design and computational chemistry methods 
to improve potency, selectivity, and ADME properties while minimizing 
toxicological risk.

- Maintain and develop working knowledge of contemporary computational 
chemistry and cheminformatics methods and their use in ligand design 
and data analysis.

- Enable solutions (databases, toolkits and methods) for internal use 
and implement cutting-edge published scientific methods as Generative 
Adversarial Network (GAN), Reinforcement Learning, and Variant 
AutoEncoder et al.  


Qualifications
- PhD in Computational Chemistry or equivalent experience.

- Proven track-record to work with and develop modern and classical 
cheminformatics methods.

- In depth experience with open-source cheminformatics toolkits such as 
RDKit & CDK, and familiarity with tools such as Pipeline Pilot or KNIME 
is a plus.

- Programming experience (preferred Python) and high-performance 
computing environments.

- Experience with machine learning (supervised and unsupervised), active 
learning, statistical design of experiments, multi-objective modeling and 
QSAR techniques.

- Knowledge and experience in ADME modelling is a plus.

- Hands on experience with web services, database integration and the 
integration of open-source code to produce solutions in a global 
enterprise environment ranging from fast prototyping to production 
quality level.

- Ability to collaborate with multidisciplinary team.

- A passion for tackling challenging problems and developing creative 
solutions

Salary and benefit
- PharmCADD offers an industry leading competitive compensation package.

- Salary will be commensurate with track record and job experience level.

- Benefit package includes paid holidays, health insurance, stock option, 
company supported retirement plan, and housing support.

Application Procedure
- Send your application to hr:pharmcadd.com with a cover letter including 
your motivation and qualification for the applied position 

- Attach a recent CV with a full list of publications and patents

- Send separate application packages for each position that you are 
applying for.

- Website : https://pharmcadd.com/

- Application due date: 30st Sep 2022