Scientist, Translational Biology and Knowledge Integration 

PatientsLikeMe is a platform for patients to connect with others that have the same condition and track and share their experiences. In the process, they generate real-world data that help researchers, pharmaceutical companies, regulators, providers, and non-profits develop more effective products, services and care. With 600,000+ members representing 2,800+ conditions, PatientsLikeMe is a trusted source for real-world disease information and has published more than 70 peer-reviewed research studies. With the DigitalMeTM program, we are building a massive longitudinal health data set, adding multiple-modality ‘omics data to our unique patient-reported health data, with the goals of discovering biomedical insights and helping patients navigate their path to a better quality of life.  

The PatientsLikeMe Translational Sciences team focus is to bring artificial intelligence to ‘omics and health data.  To grow our group’s capabilities, we are seeking a Scientist/Senior Scientist, Translational Biology and Knowledge Integrationto help derive insights from this data. The primary focus of this position is to devise, evaluate, and interpret clever methodologies to re-think how patients are diagnosed and treated, using their molecular information. You will help build,maintain, and leverage a foundation of structured biological knowledge to facilitate the robust and reproducible interpretation of high throughput molecular profiling (‘omics) data, including RNASeq, proteomics, and metabolomics. You will be required to develop a deep understanding of disease pathogenesis as well as the strengths and weaknesses of the molecular measurement platforms that PLM works with.  


  • Contribute to the development of knowledge infrastructure and growing the content and analytical tools necessary to support biological interpretation of integrated molecular and patient data. 
  • Leverage understanding of biological pathways and disease pathogenesis to create insights from the analysis of integrated data and knowledge 
  • Lead workstreams for curation, integration of external databases, and text mining/NLP.  
  • Work closely with scientists across the Translational Sciences team to align both knowledge content acquisition and development as well as analysis with organizational needs.  
  • Evaluate public and commercial databases for relevance and quality   
  • Develop curation guidelines and training materials for representation of biological knowledge.  
  • Collaborate with the broader Translational Sciences team to integrate biological knowledge with clinical data and patient reported outcomes. 
  • Support the use of knowledge in platforms across PLM   


  • Ph.D. or MD/PhD in biological sciences, preferably with focus in molecular biology or other advanced degree with significant experience in molecular biology 
  • Experience working with high-throughput molecular data and delivering high value insights 
  • Expert in signaling pathways 
  • Experience with biomedical databases and ontologies  
  • Familiarity with scripting languages (e.g., Python) and/or R/Bioconductor  
  • Experience with commonly used software for data visualization (e.g., Spotfire) and systems biology/pathway analysis (e.g., Cytoscape, GSEA)  
  • Strong attention to detail, communication, and organization skills  
  • Team player with solid collaboration skills  
  • Experience with text mining or natural language processing are a plus, but not required  
  • Thrives in a fast-paced, dynamic, and mission-driven atmosphere  
  • Must be local to our Cambridge office, or willing to relocate  

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