Head of Computational Biology - Data Science

Head of Computational Biology - Data Science
Location: Basel, Switzerland or Boston, MA

Monte Rosa Therapeutics is looking for an experienced, energetic, self-motivated, fun-loving individual with a strong computational and analytical background to discover and develop novel medicines. Delivering this new generation of treatments to patients requires a conceptual change: Monte Rosa recognizes this urgent need and is missioned to develop innovative molecular glue degraders (MGDs) to degrade the undruggable. Our team combines deep knowledge and outstanding skills in the areas of chemistry, structural and cell biology, computational modeling, AI/ML, and translational science to deliver pioneering degrader therapeutics for inflammatory and autoimmune diseases, hematological disorders, and oncology.
We are looking for a creative computational biologist leader with ambition to tackle high-impact complex computational biology problems involving the generation, analysis, and interpretation of large-scale biological, pharmacological, and clinical datasets. The candidate will have experience leading teams and mentoring scientists and will work closely with a world-class team of scientists, from lab to clinical, to develop the next generation of MGDs. Our Data Sciences team comprises computational biologists, computational chemists, AI/ML structural biologists and software engineers. As part of Monte Rosa's QuEEN discovery platform, we invent novel engines, including the BaseCamp data visualization suite, the fAIceit protein surface characterization engine for degron & target discovery, the Rhapsody engine for MGD generative designs and in silico screening, and the BreakThru engine for pharmacogenomic patient selection and collaboratively apply these for the discovery and development of MGDs. In this position, you will have the opportunity to push the boundaries of science and accelerate the discovery of new therapeutics.
Responsibilities

* Lead the computational biology team and mentor team members
* Contribute to the identification of targets, patient populations, and associated biomarkers
* With our translational team, implement clinical biomarkers for targeted therapies
* Support the design, analysis, and interpretation of pre-clinical, translational, and clinical studies
* Contribute to the development and application of analytical and data visualization tools
* Present analyses and results throughout the company and externally

Qualifications

* Ph.D. and extensive experience in computational biology, bioinformatics, or related discipline
* Experience with biomarker identification and translational sciences
* Experience with scientific programming, such as with python or R
* Experience with computational analysis, algorithm development, statistics, and machine learning
* Experience integrating computational biology into a drug-development industrial setting
* Demonstrated leadership and ability to mentor outstanding team members
* Flexibility to accommodate to rapidly changing priorities and deadlines
* Desire to work in an agile, collaborative, team-based environment
* Excellent oral and written communication skills

Interested Candidates may forward CV and Cover Letter to Careers-US@MonterosaTx.com

About
Monte Rosa Therapeutics is a biotechnology company developing a portfolio of novel molecular glue degrader (MGD) medicines. These medicines are designed to employ the body's natural mechanisms to selectively eliminate therapeutically relevant proteins. The company has developed a proprietary protein degradation platform, called QuEEN™ ( Qu antitative and E ngineered E limination of N eosubstrates), that enables it to rapidly identify protein targets and MGD product candidates that are designed to eliminate therapeutically relevant proteins in a highly selective manner. The company's drug discovery platform combines diverse and proprietary chemical libraries of small molecule protein degraders with in-house proteomics, structural biology, AI/machine learning-based target selection, and computational chemistry capabilities to predict and obtain protein degradation profiles. For more information, visit www.monterosatx.com.