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Director of Scientific Computing and Bioinformatics

2 months ago

California, Missouri, United States Twist Bioscience Full time

We are seeking a visionary leader to spearhead our Bioinformatics and Data Science Team as a Director of Scientific Computing at Twist Bioscience. In this role, you will lead an interdisciplinary team responsible for developing cutting-edge bioinformatic research tools, predictive internal process models, and analytics dashboards. This position will have a significant impact on enabling Twist to develop innovative products and processes across multiple product lines.

Key Responsibilities:

  • Developing and implementing a comprehensive vision and roadmap for scientific computing at Twist Bioscience.
  • Building and maintaining a high-performing team and growing individual contributors with diverse technical backgrounds.
  • Serving as a scientific mentor to guide team members in an efficient, effective, and scientifically sound manner.
  • Guiding team members on prioritization and design of bioinformatic pipelines, data pipelines, and data analysis campaigns.
  • Understanding and prioritizing business needs by balancing short-term and long-term initiatives.
  • Engaging and building relationships with clients and stakeholders across the organization to inform decision-making.
  • Presenting work and progress to senior executives.

What You'll Bring to the Team:

  • Expertise in SQL, Python, machine learning model development and deployment, and data visualization tools like Tableau.
  • Strong interpersonal skills and the ability to communicate technical decisions to various stakeholders.
  • A positive attitude and ability to find solutions to open-ended problems that satisfy stakeholder needs.
  • The ability to understand qualitative requests and guide team members to create quantitative analyses.
  • Experience and understanding of modern cloud data infrastructure with tools like dbt, Databricks, and Snowflake.
  • Knowledge of bioinformatic analyses based on Next Generation Sequencing data analysis.

Preferred Qualifications:

  • Ph.D./M.S. in a scientific discipline with significant experience in data and bioinformatics in an industrial setting.
  • Experience analyzing and handling Next Generation Sequencing data.
  • Experience managing and successfully performing in a molecular biology tools company.
  • Demonstrated performance developing and maintaining high-performing teams.