Exploratory Biomarker Data Scientist

Role Summary

Exploratory Biomarker Data Scientist position based in San Diego focusing on biomarker data analysis within a neuroscience disease area. The role involves integrating, analyzing, and interpreting large biomedical datasets to identify biomarkers and inform therapeutic target hypotheses.

Responsibilities

• Applying established and novel approaches to model multi-modal clinical or pre-clinical data to identify biomarkers predictive of disease progression and treatment response, and to nominate novel therapeutic target hypotheses
• Work with wet lab scientists to develop testable biological hypotheses and collaborate in designing rigorous preclinical experiments
• Collaborate with other data scientists and be a subject matter expert in analyzing data from tissue and biofluids
• Analyze proteomics, transcriptomics or related data from clinical, in-vivo or in-vitro studies

Qualifications

• Senior Expert I: Ph.D. with 2 or more years of experience (ideally in industry) in computational biology, genomics, biological sequence design, or related fields. Senior Expert II 3+ years of industry experience in computational biology, genomics biological sequence design or related fields.
• Experience in programming with Python and/or R
• Experience in processing and analyzing proteomics (Somascan, Olink, MS-based, or similar)
• Solid understanding of pathways, systems biology, biological networks
• Experience in cellular / molecular biology
• Ability to understand inter-species variations
• Experience in neuroscience is highly preferred

Skills

• Experience in analyzing transcriptomics (bulk, single cell, spatial), knowledge of splicing
• Experience with experimental design

Education

Additional Requirements

• None