Senior Expert I/II, Data Science, Modeling & Simulation

Darum lohnt es sich

Overview Salary Range: CHF 102,200.00 – CHF 189,800.00 Location: Basel, Switzerland (Hybrid) Internal Title: Data Scientist, Senior Expert I or II As a Senior Expert I/II, Data Science, you will join our Modeling & Simulation (M&S) Data Science team in the Translational Medicine Unit and help us unleash the power of data science for drug discovery.

Our group is growing, and we hope you will join our dynamic, enthusiastic and forward-thinking team.

Key Responsibilities 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 guide 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 various modalities, primarily small molecules and peptides 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 Monitor 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 Qualifications 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 up to 2 years (Senior Expert I) or 2–4 years (Senior Expert II) of relevant work experience 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 (Python and R), including software development practices such as version control, testing, documentation, etc.

Knowledge of machine learning/deep learning libraries Knowledge of drug discovery and development processes Excellent communication skills and ability to translate analytical concepts for diverse audience and stakeholders (English is the primary language) Desirable Requirements: 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, uncertainty quantification, and explainable AI Benefits & Rewards Competitive base salary with rewards of being part of a team committed to innovation and impact Performance-based bonus potential (based on certain performance parameters) Comprehensive benefits including insurance plans, retirement plans, wellbeing resources and global recognition programs Flexible and hybrid working options where possible Minimum 14 weeks paid parental leave Long-term equity awards may be part of the package Context on pay equity and commitment to diversity, equity and inclusion as part of our employment policy Note: Benefits and compensation may vary by country and are subject to local legal requirements Diversity, Inclusion & Accessibility Commitment to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve (EEO) Reasonable accommodation available in the recruitment process and for essential job functions; please contact with your request Additional Information The final level and title of the offer role will be determined by the hiring team based on the skills, experience, and capabilities required to perform the role at the level offered.

Applicants should be aware that certain benefits and compensation may vary by country and local regulations. #J-18808-Ljbffr You will apply ADME and PK/PD data, master in-house applications, and state-of-the-art machine learning (ML) methods to accelerate lead optimization.