Omics Data Science Analyst

Contract Opportunity | Global Pharmaceutical Company

Our client, a leading global pharmaceutical organization, is seeking an Omics Data Science Analyst to join a cutting-edge R&D team focused on data science and digital health initiatives within Immunology. This role will help drive scientific discovery by analyzing large-scale clinical and biomarker datasets to better understand disease mechanisms, identify patient subgroups, and support precision medicine strategies.

This is an excellent opportunity for a data scientist with a strong background in omics analytics, biostatistics, and biomedical data analysis who enjoys translating complex datasets into meaningful scientific insights.

Key Responsibilities

• Analyze large-scale clinical and biomarker datasets to support patient stratification and disease characterization
• Perform statistical analyses to evaluate relationships between clinical variables, imaging-derived features, and biomarkers
• Integrate and interpret diverse biological data sources, including multi-omics and clinical datasets
• Reproduce, validate, and extend findings from published cohort studies and scientific literature
• Support hypothesis-driven research focused on disease progression, treatment outcomes, and subgroup identification
• Collaborate closely with cross-functional teams including data scientists, engineers, modelers, and research scientists
• Present findings and insights to support scientific decision-making and future research initiatives

Required Qualifications

• Bachelor's, Master's, or PhD in Data Science, Biostatistics, Bioinformatics, Computational Biology, or a related quantitative field
• Hands-on experience analyzing omics data, including one or more of the following:
  • GWAS (Genome-Wide Association Studies)
  • Gene Expression / Transcriptomics
  • Multi-omics Integration
  • High-dimensional Biomarker Data
• Experience working with complex biomedical, clinical, or translational research datasets
• Strong statistical analysis and data interpretation skills
• Proficiency in Python and/or R
• Ability to communicate technical findings to both technical and scientific stakeholders
• Strong collaboration skills and experience working within cross-functional research environments

Preferred Qualifications

• Experience working with large clinical cohort datasets
• Familiarity with imaging-derived biomarkers and digital health data
• Prior experience supporting pharmaceutical, biotechnology, or healthcare research programs

Why Apply?

• Join a world-class pharmaceutical research organization
• Work on innovative immunology and precision medicine initiatives
• Collaborate with interdisciplinary teams at the forefront of data science and biomedical research
• Contribute directly to research that has the potential to impact patient outcomes

Interested candidates should have a passion for leveraging data to answer complex biological and clinical questions while driving meaningful scientific discoveries.