What are the responsibilities and job description for the Senior Director Data Engineering, Business Development position at Champions Oncology, Inc.?
Description
TITLE AND CLASSIFICATION: Senior Director Data Engineering, Business Development
EPORTING LOCATION: US Remote
REPORTS TO: General Manager, Data, Strategic Business Unit
PRIMARY OBJECTIVES: Leads data infrastructure and management strategy. Responsible for designing, implementing, and maintaining a robust data platform that supports Champion's research and development efforts, with a strong focus on managing multi-omics and research data in compliance with FAIR (Findable, Accessible, Interoperable, and Reusable) principles.
Dutiesand Responsibilities
KNOWLEDGE, SKILLS, AND ABILITIES:
TITLE AND CLASSIFICATION: Senior Director Data Engineering, Business Development
EPORTING LOCATION: US Remote
REPORTS TO: General Manager, Data, Strategic Business Unit
PRIMARY OBJECTIVES: Leads data infrastructure and management strategy. Responsible for designing, implementing, and maintaining a robust data platform that supports Champion's research and development efforts, with a strong focus on managing multi-omics and research data in compliance with FAIR (Findable, Accessible, Interoperable, and Reusable) principles.
Dutiesand Responsibilities
- Maintain a comprehensive data platform architecture that supports the entire research data lifecycle
- Develop and enforce data governance policies and standards, ensuring FAIR principles are consistently applied across all research data
- Manage and optimize data storage, processing, and retrieval infrastructure using AWS cloud services
- Develop robust data management strategies that support reproducibility and data integrity in scientific research
- Collaborate with research teams, bioinformaticians, and IT departments to ensure seamless data flow and accessibility
- Implement advanced data security and privacy measures to protect sensitive research information
- Design and maintain metadata management systems for comprehensive data cataloging
- Understand customer user needs and enable efficient collaboration models
- Develop and support data analysis tools and platforms that enable efficient research workflows
- Ensure compliance with relevant regulatory requirements and industry best practices
- Manage partner data-licensing agreements, including:
- Tracking and ensuring compliance with licensing conditions
- Monitoring data usage and adherence to contractual obligations
- Oversee data transfer processes with third-party partners, including:
- Developing secure data transfer protocols
- Implementing robust data exchange mechanisms
- Ensuring data privacy and regulatory compliance during external data transfers
- Managing data access controls and audit trails for third-party interactions
- Other duties may be assigned verbally at any time.
KNOWLEDGE, SKILLS, AND ABILITIES:
- Extensive experience in data platform management, preferably in a biotech or pharmaceutical research environment
- Advanced proficiency in AWS cloud services and infrastructure
- Strong SQL skills and experience with database management systems
- Deep understanding of multi-omics data types, including genomics, transcriptomics, proteomics, and metabolomics
- Expertise in handling Next-Generation Sequencing (NGS) data
- Comprehensive knowledge of FAIR data principles and scientific data management best practices
- Strong programming skills (Python and/or R)
- Demonstrated experience in managing data licensing agreements and third-party data transfers
- Understanding of data protection regulations and compliance requirements
- Excellent strategic planning and technical leadership skills
- Strong communication abilities across technical and non-technical teams
- Ability to translate complex technical concepts for diverse audiences
- Experience with bioinformatics data platforms and analysis tools
- Experience with data pipeline development and workflow management tools
- Knowledge of contractual negotiations and intellectual property considerations
- Familiarity with data transfer agreements and compliance frameworks
- Understanding of machine learning and AI applications in biomedical research
- PhD or master’s degree in Bioinformatics, Computer Science, Data Science, or a related field
- Must be able to sit for long periods of time using a computer in a typical office environment.