What are the responsibilities and job description for the Bioinformatics Scientist - Proteomics - Drug Discovery Technologies position at Nurix?
Position
Nurix is seeking a candidate for the role of Bioinformatics Scientist in the Proteomics group within Discovery Technologies and Early Research. This individual contributor role will focus on designing, implementing, and optimizing tools and workflows for proteomics data analysis, visualization, and interpretation. The candidate will creatively expand the capabilities of Nurix’s proteomics platform by integrating and developing customized tools for both global and targeted proteomics data analysis workflows. In this highly collaborative position, the candidate will work closely with proteomics team members, IT & informatics teams, biologists, and project leads, applying their tools and expertise to advance targeted protein degradation drug discovery. This candidate will also implement tools used throughout the degrader R&D life cycle to advance drug candidates alongside colleagues in Medicinal Chemistry, Biology, and Safety Assessment.
Required Skills & Experience:
Ph.D. in Biology, Chemistry, Biochemistry, Bioinformatics, or a related field with 0-3 years post-Ph.D. experience
- Expertise in:
- Bioinformatics analysis of proteomic datasets with a focus on global proteomics workflows; familiarity with targeted proteomics is also valuable
- Tools used for analyzing and visualizing differential expression datasets
- Development and optimization of scripts in R and/or Python for proteomics data analysis
- Standard statistical methods for large-scale data interpretation
- Strong experience in analyzing, condensing, and presenting complex datasets to diverse teams
- Knowledgeable in computational applications for global proteomic data
- Knowledgeable in post-translational modification (PTM) enrichment workflows
Preferred Skills & Experience
- Experience implementing or managing proteomics-related databases
- Direct experience with MS data processing tools & software
(eg Skyline, Spectronaut/DIA-NN, MaxQuant, FragPipe) - Knowledge of protein ubiquitylation biochemistry and pathways
- Familiarity with cloud computing platforms (e.g., AWS) for data storage and analysis
- Experience with machine learning (ML) or artificial intelligence (AI) for data analysis
- Knowledge of protein degradation pathways or prior experience in degrader drug discovery
- Strong publication record (e.g., peer-reviewed publications) and conference presentations.
Culture & Team Fit:
- Ability to work collaboratively across multiple groups within the organization
- Excellent organization and communication with effective presentation skills
- Self-driven and enthusiastic with proficiencies to deliver in a dynamic environment
- Curious mindset with a willingness and flexibility to learn new skills
- High level of creativity and productivity with strong problem-solving skills
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