Senior Computational Biologist / Senior Computational Biologistess / Senior Data Engineer / Senior Data Engineeress

Job ID

REQ-10064626

Date: Oct 28, 2025

Location: Switzerland

Summary

Join our Oncology Data Science (OncDS) team within Biomedical Research, where we provide cutting-edge computational biology, AI, and data expertise. Our projects span the entire pre-clinical to clinical development pipeline, focusing on a diverse array of innovative therapeutics. At OncDS, we specialize in utilizing high-throughput genomic and biomarker data for target identification, drug discovery, and clinical development.

We are looking for an enthusiastic Senior Computational Scientist / Data Engineer who can integrate data science tools with biological knowledge to conduct exploratory data analyses, curate high-quality datasets, establish efficient data workflows, and implement automation and AI to enhance the accuracy and scalability of our data systems.

Be a part of a team that values curiosity, collaboration, innovation, and growth, and make a significant impact at the intersection of advanced science and technology.

About the Role

Key Responsibilities:

• Collaborate with cross-functional teams to curate key experimental and omics datasets, emphasizing quality and precision to ensure the integrity of our complex scientific data.
• Perform exploratory data analyses on crucial experimental and omics datasets.
• Evaluate and implement automation tools and AI/ML methodologies to enhance data curation and exploratory data analysis workflows, improving the efficiency and accuracy of data handling.
• Work with cross-functional teams to develop and adopt best practices for data engineering.

Essential Requirements:

• An advanced degree (PhD, MS, or BS) in Computational Biology, Bioinformatics, Data Science, Computer Science, or a related field with relevant experience.
• A minimum of 5-8 years in academia or industry in a similar capacity within computational biology, bioinformatics, data engineering, or a related domain.
• At least 4-5 years of experience handling molecular biology or omics data.
• Demonstrated statistical and analytical rigor in exploratory data analyses, drawing scientific conclusions from experimental data (e.g., scRNAseq, RNAseq, ChIPseq, DNAseq, proteomics, compound screens, or CRISPR screens).
• Proficiency in one or more programming languages related to bioinformatics (R, Python).
• Familiarity with version control, reproducible workflows, and Unix/Linux commands.
• Curiosity, creativity, strong organizational skills, and a solution-oriented approach to problem-solving.
• Ability to work independently, prioritize tasks, manage multiple projects and stakeholders simultaneously.
• Excellent written and verbal communication skills, with the ability to convey complex concepts to diverse audiences.

Accessibility and Accommodation

At Novartis, we are committed to fostering an inclusive work environment for all individuals. If you need a reasonable accommodation during the recruitment process or require detailed information about the essential functions of a position due to a medical condition or disability, please reach out via email to diversity.inclusion_ch@novartis.com. Include the job requisition number in your message.

Why Novartis

Helping individuals affected by disease and their families demands more than just innovative science—it requires a community of passionate and intelligent people like you. By collaborating, supporting, and inspiring one another, we can achieve breakthroughs that transform patient lives. Are you ready to create a brighter future together?

Learn more about us.

How to Apply

Apply online using the form below. Only applications matching the job profile will be considered.

Join Our Novartis Network

If this role isn't a match for you, consider signing up for our talent community to stay connected and discover suitable career opportunities as they arise: Join our talent network.

Benefits and Rewards

Discover the many ways Novartis helps you thrive personally and professionally by reading our handbook: Explore our benefits.

Division:

Biomedical Research

Business Unit:

Research

Location:

Switzerland

Site:

Basel (City)

Company / Legal Entity:

C028 (FCRS = CH028) Novartis Pharma AG

Alternative Location:

Cambridge (USA), Massachusetts, USA

Functional Area:

Data and Digital

Job Type:

Full time

Employment Type:

Regular

Shift Work:

No

Inclusivity Commitment

Novartis is dedicated to cultivating an outstanding, inclusive work environment with diverse teams that represent the patients and communities we serve.