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Salary
≈ $97k – $204k per year (Estimated)
Location
In office (Basel)

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 21, 2026.

Overview
Company
Impact
Profile match
Headquartered in Planegg, Germany, MorphoSys (MorphoSys AG, a Novartis company) is a biopharmaceutical company specializing in targeted oncology and antibody-based therapeutics. The company develops proprietary antibody discovery platforms - such as HuCAL and Ylanthia - alongside late-stage pipeline candidates and targeted treatments including pelabresib for myelofibrosis, ianalumab, and MONJUVI for diffuse large B-cell lymphoma.

This is a temporary contractor opportunity at Novartis

Novartis touches the lives of a tenth of the world’s population. Every role here, regardless of contract type, makes an impact on human life!

This role is offered through Magnit Global, who, if selected, will be your employer. If your services are retained, you will be assigned to provide services to Novartis as the end client. This is not an offer of employment with Novartis. If you are selected for this Temporary/External opportunity, you will not be an employee of Novartis and will not be eligible for any Novartis employee benefits or incentives.

Ready to work with/through Magnit at Novartis? Please read on…

Key Responsibilities:

  • Applying established and novel approaches to model multi-modal clinical data to identify biomarkers predictive of disease progression and treatment response, and to nominate novel therapeutic target hypotheses
  • Developing and applying a portfolio of pre-clinical models derived from internal and public data to departmental projects
  • Working closely with a core team of Translational Research & Data Science scientists fluent in wet and dry lab practices
  • Actively participating on interdisciplinary teams to model biology and guide impactful decision-making in drug discovery and early development
  • Actively participating in alliances with external partners at top healthcare institutions, including the opportunity to publish your findings

Essential Requirements:

  • Life sciences industry experience modeling biomedical research data
  • Demonstrated working knowledge and application of statistics and data modeling to large scale life-sciences data
  • Hands-on experience in integration of large multi-omics data (genomics, transcriptomics, proteomics and metabolomics) to answer key scientific questions related to understanding disease
  • Hands-on industry experience with clinical data and its responsible handling
  • Hands-on experience applying AI and machine learning methods to scientific or R&D data
  • Experience using AI tools, including large language models and agentic workflows, to accelerate analysis and decision-making
  • Proficiency in R/Python and competency working in a Linux environment
  • Reproducible research practitioner with demonstrated visualization and reporting skills
  • A team-oriented, practical approach to problem solving

Desirable Requirements:

  • Experience working with or fine-tuning foundation models, for example in biology, chemistry or clinical data

Workload: 80% (32 hours per week)

Role type: Onsite

Required start date: November 2026

Contract: 6 months (maternity leave cover)

Why Novartis:

Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together?

EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.

Accommodation:

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to Magnit at [email protected].

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