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

Salary Range:

Band

Job Description Summary

Location: Basel, Switzerland

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 to unleash the power of data science for drug discovery. You will bring your curious, innovative, and collaborative mindset to effectively harness the absorption, distribution, metabolism, excretion (ADME) and pharmacokinetics (PK) / pharmacodynamics (PD) data generated within our department and master the use of our in-house applications and state-of-the-art machine learning (ML) methods and statistical techniques to accelerate lead optimization. Our group is growing, and we hope you will join our dynamic, enthusiastic and forward-thinking team!

Job Description

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

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 with 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, i.e. Python and R, including software development practices such as version control, testing, documentation, etc.
• Knowledge of machine learning/deep learning libraries
• Knowledge on drug discovery and development processes
• Excellent communication skills and ability to translate analytical concepts for diverse audience and stakeholders (English is our 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

This is a dual posting. The final level & title of the offer role would be determined by the hiring team based on the skills, experience & capabilities required to perform the role at the level the role has been offered

Benefits & Rewards

At Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen.

Expected Annual Base Salary Range for role:

102,200.00 - 189,800.00 CHF Annual

The base salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically.

In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters.

The rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and minimum 14 weeks paid parental leave.

In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. Long-term equity awards granted at group level may also be part of your package. Further details will be provided during the application process.

Pay equity is a fundamental principle of our employment policy and reflects our commitment to create a diverse, equitable and inclusive environment that treats all employees with dignity and respect, as outlined in our Code of Ethics.

Read our brochure to learn more about our global total rewards offering:

https://www.novartis.com/sites/novartis_com/files/novartis-life-handbook.pdf

Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the application process.

Commitment to Diversity and Inclusion / EEO

Novartis is committed to building an outstanding, inclusive work environment and diverse teams’ representativeof the patients and communities we serve.

Accessibility and accommodation

Novartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to receive more detailed information about the essential functions of a

position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Skills Desired