Biomarker Discovery Scientist (m/f/d)

For our client, an international pharma company in Basel, we are looking for an experienced, highly motivated, and collaborative Biomarker Discovery Scientist.

You'll work with a sense of urgency as part of a matrix team, collaborating with experts from various therapeutic areas and functions to drive early biomarker identification and validation.  This is a unique opportunity to lead critical projects and make a significant impact in a fast-paced environment. The role is a temporary for 1 year, full-time position covering a planned leave.


General Information:

• Start date: November 2025
• Latest Start Date: January 2026
• Planned duration: 1 year
• Contract: temporary via Randstad
• Extension: not expected (Parental leave replacement)
• Workplace: Basel
• Workload: 100%
• Home Office: no (Lab environment)
• Working hours: Standard

Tasks & Responsibilities:
 

• Using both mass spectrometry (MS) and non-MS based methods to create scalable targeted and untargeted protein assays. These assays will be applied to liquid biopsies, tissues, and in vitro models to discover and validate disease biomarkers, identify new drug targets, and elucidate drug mechanisms.
• Leading biomarker discovery projects across our therapeutic areas. This includes being accountable for the timely implementation of assays, generating project reports, and presenting findings to key stakeholders.
• Serving as an ambassador for our in-house and outsourced activities, providing expertise on experimental study design and analytical frameworks.

Must Haves:
 

• PhD in Biochemistry or a related field
• Ideally post-doctoral research experience in biomarker discovery and validation, preferably within the biotech or pharmaceutical industry
• Biomarker experience within PhD or first industry experience in a related field
• Expertise as a highly skilled experimentalist, capable of designing and executing complex studies using both targeted and untargeted MS and preferably also non-MS based approaches (e.g.,Olink)
• Exceptional competency in processing, analyzing, and interpreting both MS and ideally also non-MS based data
• Excellent communication skills, with fluency in English
• A customer-focused mindset, with a drive for growth and a questioning attitude. You should be skilled in creative problem-solving, organization, and implementing innovative ideas efficiently