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Principal Scientist, Computational Biology

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Job Description

Cool video about Senda Bio: https://vimeo.com/540232673

The Position

As a key member of the Senda Biosciences Discovery Platform group, the Computational Biology Principal Scientist will enable Senda’s pioneering work of unlocking inter-systems biology for human health. Working as part of a cross-disciplinary team of biologists, engineers, data scientists, and chemists, the candidate will develop and apply computational methods that support Senda’s efforts to leverage and enhance Senda’s unique drug discovery engine.

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 computational support for key discovery program/efforts
  • Develop new methodologies to facilitate the discovery of novel therapeutic targets, bioactives, and biomarkers
  • 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 a multi-member project
  • Demonstrated success balancing multiple simultaneous computational 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 using machine learning models 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

  • Personal Characteristics:
    • Pioneering: We create bold innovations leveraging insights in intersystem biology
    • Science Driven: We apply exceptional science to bring breakthrough medicines to patients
    • Authentic: we embrace the importance of honesty, accountability, transparency and openness
    • Collaborative: We succeed when we shared knowledge, expertise, and experiences to develop revolutionary medicines