Senior Director Data Engineering & Bioinformatics at Champions Oncology Inc.

Las Vegas, Nevada, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Mar, 26

Salary

190000.0

Posted On

20 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Platform Management, Multi-Omics Data, Next-Generation Sequencing, AWS Cloud Services, SQL, FAIR Data Principles, Python, R, Data Licensing Agreements, Data Protection Regulations, Strategic Planning, Technical Leadership, Communication Skills, Data Security, Metadata Management, Data Governance

Industry

Biotechnology

Description

Job Details Level: Management Job Location: US Remote - Hackensack, NJ 07601 Position Type: Full Time Education Level: Masters Degree Salary Range: $150,000.00 - $190,000.00 Salary/year Travel Percentage: 0-10 % Job Shift: Day Job Category: Information Technology TITLE AND CLASSIFICATION: Senior Director Data Engineering & Bioinformatics REPORTING LOCATION: US Remote REPORTS TO: General Manager, Data, Strategic Business Unit PRIMARY OBJECTIVES: Leads data infrastructure and management strategy, with a strong focus on managing multi-omics and research data. Responsible for designing, implementing, and maintaining a robust data platform that supports Champion’s research and development efforts, in compliance with FAIR (Findable, Accessible, Interoperable, and Reusable) principles. DUTIES AND RESPONSIBILITIES: Implement and maintain a comprehensive data platform architecture that supports the entire research data lifecycle Develop and support multiomic and biological data analysis tools and platforms that enable efficient research workflows 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 as pertains to data access, analysis, and utilization and enable efficient collaboration models 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. Qualifications KNOWLEDGE, SKILLS, AND ABILITIES: Extensive experience in data platform management, preferably in a biotech or pharmaceutical research environment Deep understanding of and direct experience with multi-omics data types, including genomics, transcriptomics, proteomics, and metabolomics Expertise in handling Next-Generation Sequencing (NGS) data Advanced proficiency in AWS cloud services and infrastructure Strong SQL skills and experience with database management systems 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 PREFERRED ADDITIONAL QUALIFICATIONS: 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 EDUCATION AND EXPERIENCE: PhD or master’s degree in Bioinformatics, Computer Science, Data Science, or a related field PHYSICAL DEMANDS AND WORK ENVIRONMENT: Must be able to sit for long periods of time using a computer in a typical office environment. This description reflects management’s assignment of essential functions, it does not proscribe or restrict the tasks that may be assigned. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Responsibilities

Leads data infrastructure and management strategy, focusing on multi-omics and research data. Responsible for designing, implementing, and maintaining a robust data platform that supports research and development efforts.