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  • Ingenuity
    Registered Vendor
    • Sep 2010
    • 4

    #1

    Director, Content Platform Engineering

    POSITION SUMMARY

    In this position, you will be responsible for the Knowledge Modeling and Knowledge Acquisition aspects of Ingenuity’s Content Platform. The role includes both planning and execution functions and requires good understanding of scientific trends, information hubs, information integration and information modeling in the bio-medical domain. You will also serve as an evangelist of the content vision, strategy, and architecture to internal staff, customers, and executive leadership. Because the Ingenuity Content Platform is the base that all Ingenuity products are built upon, you will have the unique opportunity to significantly impact the success of our products and company. You will work cross-functionally with software engineers, quality engineers, ontologists, scientists, customer support staff, and product managers. You will provide information architecture and technology direction for building high value, easy to use customer facing applications.

    DUTIES AND RESPONSIBILITIES

    Essential Functions:
    · Develop information strategy and architecture to support software products focused on helping scientists working on complex scientific problems including microarray and sequencing data analysis, scientific decision support and scientific information discovery
    · Translate business initiatives into innovative solutions
    · Ensure information architectural consistency across multiple applications
    · Establish and enforce content quality control processes and best practices
    · Understand and proactively address experimental, publishing and information access trends and needs that will influence content platform requirements
    · Evangelize Ingenuity’s content platform, technology, architecture and content development process in conferences, user groups, blogs, forums and other communities
    · Work on multiple projects concurrently and provide direction and guidance to technical leads and individual contributors through hands-on assistance as well as formal and informal training
    · Create content platform roadmaps in line with business vision and direction
    · Work collaboratively with the other senior scientific and technical experts to make decisions impacting cross portfolio solutions and their implementations
    · Propose and drive implementation of alternatives to existing processes and procedures that will enable individuals, the department, or the organization to perform more effectively and efficiently


    KNOWLEDGE, SKILLS AND ABILITIES

    Minimum
    · Solid understanding of the bio-medical scientific domain
    · Demonstrated competency in information integration, knowledge modeling and ontologies
    · Exceptional communication and interpersonal skills: ability to interact and work well with members of other functional groups in a project team and a strong sense of project ownership
    · Strong leadership skills, decision making and problem solving abilities
    · Ability to actively listen, motivate others and foster a team environment

    Preferred
    · Demonstrated ability to work with a software development team including knowledge of Agile development methodologies like Scrum and XP
    · Knowledge of semantic web technologies and/or knowledge management
    · Experience integrating public and proprietary information sources into a knowledge architecture at scale – e.g. pharmaceutical chemical or biological informatics
    · Experience with scientific Natural Language Processing / Text Mining technologies
    · Research experience in pharmaceutical, drug discovery and/or academic setting

    EXPERIENCE
    · 8+ years in an information oriented function – chem / bio-informatics, scientific application product management, scientific publishing
    · 3+ years of management in a information oriented function
    · Familiarity with ontologies, specifically bio-ontologies (GO, MeSH, UMLS)
    · Familiarity with general bioinformatics databases and computational biology resources (NCBI Entrez Gene, KEGG, PubMed)

    EDUCATION
    · PhD in life-sciences, bio-informatics or related areas

    To apply: Click the link below

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