Senior Expert Data Science, Modeling & Simulation

Your responsibilities will include, but are not limited to :

• Act as the M&S Data Science representative on drug discovery and lead optimization programs by collaboratively contributing to project team discussions, using dry- and wet-lab data to provide scientific and strategic input to guid e decisions such as compound progression and in vivo study prioritization
• Master and advocate the use of in silico models and in-house tools , applications and data to accelerate and streamline decision making
• Apply data mining to understand relationships between structure and molecular properties for programs involving small molecules, peptides, RNAs
• Identify opportunities to create custom, project- or modality-specific in silico models and data strategy , and contribute to their development and implementation
• Proactively seek opportunities to increase the impact and awareness of M&S Data Science through clear and concise communications with internal and external audiences or various expertise
• M onitor and stay up to date on developments within the field of AI / ML applied to ADME and PK / PD, and data science methods applied to drug discovery

Role requirements

Essential requirements :

Advanced degree in life sciences with multidisciplinary background (cheminformatics, bioinformatics, biomedical engineering, AI / ML in drug discovery or life sciences , data science , computational biology , computational chemistry or related field )

PhD with 2+ years or MSc with 6+ years of relevant work experience with deep knowledge on drug discovery and development processes

Experience in the application of (reproducible) data science methods , tools and practices to drug discovery

Strong understanding of statistics , machine learning and deep learning

Demonstrated knowledge of data visualization and exploratory analysis

Solid skills in programming languages, i.e. Python and R, including software development practices such as version control, testing, documentation, etc .

Knowledge of machine le a rning / deep learning libraries such as scikit-learn, keras or pytorch

Excellent communication skills and ability to translate analytical concepts for diverse audience and stakeholders (English is our primary language)

Desirable  :

Expertise with discovery-stage PK modeling for small molecule compounds (e.g., relating ADME properties to in vivo PK; scaling of preclinical PK to human) is a plus

Experience with generative algorithms and explainable AI

Languages :

English.

Skills Desired

Chemistry, Clinical Pharmacology, Clinical Research, Drug Discovery, Initiative, Medical Research, Patient Care, Physiology, Quality Control, R&D (Research And Development), Simulation Software, Translational Medicine

Skills Required

Patient Care, Clinical Research, Medical Research, Quality Control