Translational Medicine Academy Fellow / Translational Medicine Academy Fellowess

Job ID

REQ-10077055

Date: May 04, 2026

Location: Switzerland

Summary

Novartis is a dynamic environment where bright, curious minds unite to tackle some of the world's most pressing healthcare challenges and to reimagine medicine together. This is an inspiring opportunity for aspiring talent. If you are looking to begin a career in innovative medicines or transition into the industry, you will find invaluable exposure, experience, and insights here that are hard to find elsewhere.

The Biomedical Research Translational Medicine (TM) group builds on advancements in basic research to develop new therapies that address unmet medical needs. Serving as a crucial bridge between drug discovery and clinical application, we enhance the speed, quality, and productivity of drug discovery and development at Novartis, playing an essential role in delivering innovative medicines to patients.

Join us in unleashing the potential of translational safety science for drug discovery and development. Help us in our mission to bring groundbreaking medicines to patients, drawing from research advancements and bridging the gap between discovery and clinical application.

The TM Academy is a cross-functional program designed for career starters, changers, and relaunchers. If you are prepared for two transformative years of hands-on experience in a diverse, multicultural, global, and inclusive environment that focuses on early drug development and clinical trials, we invite you to explore this unique opportunity!

About the Role

This advertisement is exclusively for Preclinical Safety - Data Science within the TM Academy. Other TM Academy roles are advertised separately under:

• REQ-10076855 - TM Academy Clinical Science & Innovation (CS&I)
• REQ-10077029 - TM Academy Pharmacokinetic Sciences (PKS) Modeling & Simulation
• REQ-10077246 - TM Academy Fellow in Biomarker Development
• REQ-10076845 - TM Academy Biomarker Development Laboratory Excellence and Operations (BMD LEO)

Location: Basel, Switzerland

Duration of Program: 24 months

Program Start Date: September 1, 2026

Applications will be accepted until May 17, 2026. Apply online using the form below.

Please note that only applications matching the job profile will be considered.

Program Overview

Your journey begins with a basecamp: a 4-week immersive blended experience designed to introduce you to our organization, the drug development process, various departments in Translational Medicine, the clinical trial process, and the tools and technical platforms necessary for your work.

Throughout the program, fellows will engage in continuous learning focused on soft skills, cross-functional exposure, and thematic introduction series—expanding your perspective beyond immediate teams and functions.

As a TM Academy fellow in PCS Data Science, you will gain knowledge and contribute to one or more of our global interdisciplinary teams, including Translational Toxicology, Mechanistic & Predictive Safety, Pathology, and Therapeutic Area Safety Assessment. Your contributions will support project teams throughout the Research & Development lifecycle across diverse disease areas and therapeutic modalities.

Responsibilities

During the TM Academy, you will:

• Build a strong foundation in translational medicine with guidance from industry experts.
• Experience a progressive and flexible learning journey covering conceptual, theoretical, and experiential techniques.
• Become part of a global network of supportive peers and mentors who will guide your collaboration on meaningful projects shaping the future of medicine.
• Gain hands-on experience by supporting various activities related to translational safety assessments using computational approaches.
• Expand your professional knowledge through deep dives into areas aligned with your interests and based on available opportunities.
• Have the opportunity to mentor new fellows and give back your knowledge.

Role Requirements

Candidates should possess:

• Demonstrated experience with large-scale biological datasets (e.g., genomics, transcriptomics, imaging, preclinical/clinical data).
• MSc or PhD or equivalent experience in a quantitative field (computational sciences, physics, mathematics, economics, computational biology, machine learning, data science, or a related field).
• Strong programming skills in Python/R, including agent-based coding.
• A solid understanding of statistics and machine learning.
• Experience with reproducible data science tools and practices.
• Fluency in business-level English, both oral and written.
• Good organizational, interpersonal, collaboration, and communication skills.
• The ability to work in a team and independently, managing multiple priorities with support.

Accessibility and Accommodation

Novartis is committed to providing reasonable accommodations to all individuals. If you require accommodations due to a medical condition or disability during the recruitment process, or if you need more information about the essential functions of a position, please reach out to diversity.inclusion_ch@novartis.com. Include details about your request and contact information, along with the job requisition number in your message.

Why Novartis

Making a difference in the lives of people battling disease requires more than just innovative science. It demands a community of passionate individuals like you, collaborating, supporting, and inspiring one another to achieve breakthroughs that transform patient lives. Are you ready to create a brighter future together?

Learn more about our vision and strategy at Novartis People and Culture

Benefits and Rewards

Discover how we can support your personal and professional growth:

Read our handbook (PDF 30 MB)

Division

Biomedical Research

Business Unit

Research

Location

Switzerland

Site

Basel (City)

Company / Legal Entity

C028 (FCRS = CH028) Novartis Pharma AG

Functional Area

Others

Job Type

Full time

Employment Type

Early Career (Fixed Term)

Shift Work

No

Job ID

REQ-10077055

Translational Medicine Academy Fellow in Preclinical Safety - Data Science

Apply online using the form below.