Data Scientist - Translational Research

CTC Resourcing Solutions; Basel; On-site; CHF 90,000 - 110,000; Part time

Job summary

Basel Pharma Solutions is seeking a Data Scientist and Translational Research professional for a 6-month contract in Basel. The role involves integrating multi-omics data, developing translational models, and collaborating with a multidisciplinary team of scientists to identify biomarkers and novel therapeutic targets.

Candidates should have experience in statistics, R/Python, Linux, and applying AI/ML to life-sciences data, with exposure to large-scale omics and modern computational biology

Qualifications

• Relevant working/residency permit or Swiss/EU-Citizenship required
• Demonstrated working knowledge and application of statistics and data modeling to large scale life-sciences data
• Proficiency in R/Python and competency working in a Linux environment
• Hands-on experience applying AI and machine learning methods to scientific or R&D data, including large language models and agentic workflows
• 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 expertise across transcriptomics, genetics, and proteomics, including single-cell and bulk RNA-seq, spatial transcriptomics, CITE-seq, CyTOF, and imaging mass cytometry
• Hands-on industry experience modeling biomedical research data
• Experience working with or fine-tuning foundation models, for example in biology, chemistry or clinical data (Desirable)

Responsibilities

• Approaching 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
• Build alliances with external partners at top healthcare institutions

Skills

Statistics

Data modeling

R/Python

Linux

AI/ML

Genomics

Transcriptomics

Proteomics

scRNA-seq

Spatial transcriptomics

Job description

Our client is a leading global player in the Pharmaceutical industry with global headquarters in Basel, Switzerland. They are undergoing a transformation with respect to culture and outside perception. The organisation focuses on novel therapies in Oncology and Ophthalmology and is also currently developing a world-leading pipeline in Neuroscience and Dermatology with one of the strongest pipelines of Phase II/III studies in the world.

We are currently looking for a:

Data Scientist and Translational Research, 6-month contract, Basel

Main Tasks:

• Approaching 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
• Build alliances with external partners at top healthcare institutions

Your Profile:

• Relevant working/residency permit or Swiss/EU-Citizenship required
• Demonstrated working knowledge and application of statistics and data modeling to large scale life-sciences data
• Proficiency in R/Python and competency working in a Linux environment
• Hands-on experience applying AI and machine learning methods to scientific or R&D data, including large language models and agentic workflows
• 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 expertise across transcriptomics, genetics, and proteomics, including single-cell and bulk RNA-seq, spatial transcriptomics, CITE-seq, CyTOF, and imaging mass cytometry
• Hands-on industry experience modeling biomedical research data
• Experience working with or fine-tuning foundation models, for example in biology, chemistry or clinical data (Desirable)