Computational Biology Group Lead

Boston MA /
Digital Sciences & Technology /
Joyn Bio is a joint venture between Bayer and Ginkgo BioWorks dedicated to addressing unmet needs in agriculture by applying synthetic biology approaches to engineer microbes.


    • Serve as a key senior scientific member of the Digital Sciences and Technology department.  The Computational Biology Group Lead will lead, grow, and develop a team of computational biologists within Joyn who support programs that leverage synthetic biology. 


    • Guide and mentor junior/senior computational scientists, and in general act as an expert scientific leader to support and nurture collaborations with internal and external partners.
    • Create an innovative & collaborative computational biology strategic roadmap that directly supports strain engineering design efforts in the building of novel microbials.
    • Contribute to the culture of technical excellence in the following areas: microbial based multi-omics data integration via genome-scale modeling or machine learning methodologies, biomarker discovery, proteomics, metabolomics, transcriptomics, metabolite flux analysis and other whole-cell experimental techniques.
    • Promote transparency and intra department exchange of data and workflows, collaborating with Data Science Lead to leverage data in unique ways to create novel discoveries for programs.
    • Scale and productionize bioinformatics pipelines by collaborating with Scientific Computing to ensure a unified technical data platform
    • Ensure sufficient documentation for your solutions. Work closely with the Scientific Computing team to ensure a unified technical data platform and to support their efforts in building out the Joyn data infrastructure.
    • Serve as an integral member in a cross-disciplinary team, representing the research arm of Digital Sciences and Technology.


    • PhD in Microbial Systems Science/Biology, Biological Engineering, Bioinformatics, Genomics, Data Science or a related field with 10+ years of experience in industry.
    • Extensive experience in building production-grade NGS pipelines with specific experience in multi-omics data integration, pathway analysis, and variant annotation.
    • Experience in microbial research including a working understanding of computational approaches for genomics, predictive biomarker discovery and mining/analysis of genomics databases.
    • Proficiency in Python, version control, containerization, workflow management solutions, and developing bioinformatics pipelines in a cloud-based environment (AWS).
    • Experience interfacing via APIs with multiple database types, including SQL and NoSQL.
    • Firm grasp of modern statistical methods and their application to high dimensional datasets.
    • Strong team player, who can proactively partner across teams to identify and solve organizational problems.
    • Ability to clearly communicate methods and findings to colleagues with varying levels of technical expertise.
    • A passion for creating transformative agricultural products, discovering new ways to add value to farmers.


    • This position will report to the Head of the Digital Science & Technologies (DST) Dept.
    • Boston or Remote, USA.
    • 30% travel (after return to normal)