Multi-Omics Drug Target & Biomarker Scientist

Owkin; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible work organization

International team

Team-first attitude and attention to</

detail

Job summary

Owkin is seeking a highly skilled professional to contribute analyses across projects targeting novel drug targets, biomarkers, and disease subtypes through reverse translation of multi-omics data. You will analyze datasets with omics methods and ML algorithms, and help design validation strategies with cross-functional teams.

The ideal candidate holds an MSc/PhD in computational biology or related field with experience in omics datasets and cancer biology.

Qualifications

• MSc/PhD in computational biology, bioinformatics, biology, machine learning, or related field.
• Experience with omics data, NGS pipelines, and integrating multi-omics datasets.
• Knowledge of molecular and cellular biology, especially in cancer or human diseases.

Responsibilities

• Contribute analyses to projects discovering novel drug targets, biomarkers and disease subtypes through reverse translation based on multi-omics data.
• Analyze biomedical datasets using classical or novel omics methods and machine/deep learning algorithms.
• Interpret results and help design validation strategies with cross-functional teams.

Skills

Omics data analysis

Machine learning

Cross-functional collaboration

Education

MSc/PhD in computational biology or related field

Tools

NGS pipelines

Multi-omics integration tools

Job description

Owkin is seeking a highly skilled professional to contribute analyses across projects targeting novel drug targets, biomarkers, and disease subtypes through reverse translation of multi-omics data. You will analyze datasets with omics methods and ML algorithms, and help design validation strategies with cross-functional teams.

The ideal candidate holds an MSc/PhD in computational biology or related field with experience in omics datasets and cancer biology.