**Data Scientist, Proteomics** **Location: Basel, Switzerland** We are seeking a highly skilled Data Scientist specializing in massspectrometry\-based proteomics to join our data science team. In this role, you will leverage advanced analytical techniques to extract meaningful insights from complex proteomics datasets generated by state\-of\-the\-art mass spectrometry techniques. You'll play a crucial role in accelerating our molecular glue discovery platform by developing robust data science workflows that bridge high\-throughput screening data with biological understanding. Responsibilities: Proteomics Data Analysis: Analyze large\-scale DIA and DDA shotgun\-proteomics datasets to identify differential expression patterns and elucidate molecular mechanisms Algorithm Development: Design and implement algorithms and statistical models to process, quality control, and interpret complex proteomics data High\-Throughput Screening Support: Develop automated pipelines for analyzing LC\-MS data from high\-throughput screening campaigns to identify novel molecular glue targets and mechanisms Data Integration: Integrate proteomics data with other omics datasets, chemical structure data, and biological pathway information to generate actionable insights Visualization \& Reporting: Create data visualizations and comprehensive reports for cross\-functional teams, including medicinal chemistry, biology, and clinical development Method Development: Collaborate with analytical chemistry teams to optimize data acquisition and develop computational approaches for proteomics data analysis Platform Enhancement: Contribute to the continuous improvement of our molecular glue discovery platform through innovative data science methodologies Qualifications PhD or MS in Data Science, Computational Biology, Bioinformatics, Physics, Chemistry, or a related quantitative field, with publications in computational proteomics, chemoproteomics, or chemical biology. A minimum of 2\+ years industrial hands\-on experience in proteomics data analysis Knowledge of SQL and R, or other data analysis tools Proficiency in Python programming with experience in data science libraries (pandas/polars, numpy, scipy, scikit\-learn, matplotlib/seaborn/plotnine/ggplot) Experience with cloud computing platforms (AWS, GCP) and containerization technologies Demonstrated experience working with LC\-MS or other omics data, particularly in high\-throughput screening (HTS) environments Strong foundation in core data science concepts, including statistical analysis, machine learning, data visualization, and experimental design Strong foundation in mass spectrometry data processing software algorithms (identification, quantification, missing value imputation, differential expression) Interested Candidates may forward a CV and Cover Letter in a single PDF via our on\-line portal https://www.monterosatx.com/careers/ Monte Rosa Therapeutics is a clinical\-stage biotechnology company developing highly selective molecular glue degrader (MGD) medicines for patients living with serious diseases in the areas of oncology, autoimmune and inflammatory diseases, and more. MGDs are small\-molecule protein degraders that have the potential to treat many diseases that other modalities, including other degraders, cannot. Monte Rosa’s QuEEN™ (Quantitative and Engineered Elimination of Neosubstrates) discovery engine combines AI\-guided chemistry, diverse chemical libraries, structural biology, and proteomics to rationally design MGDs with unprecedented selectivity. Monte Rosa has developed the industry’s leading pipeline of MGDs, which spans autoimmune and inflammatory diseases, oncology, and beyond. Monte Rosa has a global license agreement with Novartis to advance VAV1\-directed molecular glue degraders and a strategic collaboration with Roche to discover and develop MGDs against targets in cancer and neurological diseases previously considered impossible to drug. For more information, visit www.monterosatx.com. ##### **Company** Monte Rosa Therapeutics AG ##### **Location** Ba ##### **Categories** Bioinformatics Therapeutics/vaccines (human) ##### **Type of job** Research ##### **Contact information** John Rynak jrynak@monterosatx.com \+16176451345