Senda Biosciences is pioneering the field of Intersystems Biology to create novel treatments for human disease. Intersystems Biology focuses on how molecular connections between botanical, bacterial, and human cells—coevolved over millennia—define health and disease. Senda's Intersytems Biology discovery platform, built using new techniques in machine learning and computational biology, has been able to generate novel, actionable insights into the trillions of interspecies molecular connections in the human body, and harnesses the power of this "pharmacy within us" with novel pharmacological approaches. The power of the Senda platform is illustrated by six preclinical programs in oncology, neurology, chronic disease, and metabolic disease. Senda was founded by Flagship Labs, the innovation foundry of Flagship Pioneering. To learn more, please visit the company's website at www.sendabiosciences.com

The Position

As an instrumental member of the Senda Biosciences discovery platform team, the Principal Scientist, Computational Biology will lead the development of integrative analytical approaches to derive new insights from Senda’s intersystems biology data, thereby enabling the identification of novel targets, bioactives, and biomarkers.  The ideal candidate will have experience developing and applying rigorous quantitative methodologies (including machine learning modeling) to various ‘omics data types and applying these approaches to push forward therapeutic area programs.  They will work as part of a cross-functional team of data scientists, biologists, and chemists to build technologies fundamental to unlocking the field of intersystems biology. 

Responsibilities

  • Serve as an integral member in a cross-disciplinary team driving the development and advancement of Senda’s discovery engine, helping to establish new therapeutic area programs
  • Lead and champion computational efforts associated with key discovery program/efforts
  • Design, implement and employ new methodologies (machine learning, statistical, network-based) to facilitate the discovery of novel therapeutic targets, bioactives, and biomarkers
  • Translate quantitative findings to actionable therapeutic hypotheses
  • Operate and enhance existing computational ‘omics data workflows
  • Contribute to the culture of scientific excellence at Senda

Required Experience

  • PhD in Computational Biology, Bioinformatics, or a related field with ≥2 years of experience in industry
  • Proficiency in a relevant programming language (g. Python, R) and standard command line tools
  • Demonstrated success leading the computational portion of multi-member cross-functional projects
  • Demonstrated success balancing multiple simultaneous efforts
  • Demonstrated ability to process and integrate multiple types of ‘omics data to derive biological insights
  • Foundational understanding of common methodologies employed in ‘omics data analysis, especially metabolomics and metagenomics
  • Firm grasp of modern statistical methods and application to high dimensional datasets
  • Ability to clearly communicate methods and findings to colleagues with varying levels of technical expertise
  • Knowledge of and experience applying best practices in data science
  • Comfort working in and developing in a cloud-based environment (AWS, Google Cloud)

Preferred Experience and Qualifications

  • Experience exploring biological interactions between species
  • Demonstrated experience building and leveraging machine learning modeling to push forward research in the life sciences
  • Knowledge of metabolic-pathway-oriented analysis methods and experience predicting or annotating enzyme functions
  • Excellent documentation and experience with version control, containerization and workflow management solutions such as Nextflow, Snakemake, Airflow, or Luigi
  • Ability to thrive in a driven organization with evolving goals and deliverables

 

Senda Biosciences is an Equal Opportunity Employer. Senda does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, national origin, veteran status, or any other status protected under federal, state, or local law.

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