Contractor - Data Sciences
vor 6 Monaten
Overview:
**Responsibilities**:
- Develop and automate the Cloning Platform to enhance the mapping of degrons and neosurfaces, ensuring the processes are faster and more reliable compared to existing systems.
- Fully automate plasmid generation to support screening and discovery activities, utilizing cutting-edge technology and methodologies.
- Implement a cost-effective and rapid workflow for scanning mutagenesis, aimed at the interrogation of neosurfaces.
- Automate and increase throughput in proteomics workflows using robotics for TurboID and targeted mass spectrometry (CDK2 and NEK7).
- Enhance data logistics concerning DMPK assay data processing, ingestion, and quality control, including the integration and harmonization of data across various platforms.
- Develop and maintain quality control protocols for CDD and establish a data analysis and validation pipeline for the Solvent Shift Assay.
Qualifications:
- Proficiency in developing Python scripts for robotic systems, specifically the Opentrons OT-2 robot.
- Experience in building and managing data analysis, management, and visualization pipelines using Python.
- Knowledge of integrating various genomic data types, with a specific focus on refining biomarkers (e.g., HER2 in breast cancer).
- Familiarity with protein binding residue predictions and optimization of related pipelines.
- Ability to conduct degradation and enrichment experiments and prepare samples for proteomic analysis.
- Proficient in analyzing proteomic data using tools like Proteome Discoverer and Spotfire.
- MS in data sciences, computational biology, bioinformatics and 2-4 years exp supporting drug discovery efforts with in a commercial environment.
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