Computational Biology Group Lead

Objective

• 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. 

Responsibilities

• 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.

Training/Experience

• 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.

Organizational

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