Were pleased to share an exciting secondment opportunity at AskBio. This role is available for a time period to be determined by leadership at both Bayer and AskBio. While most assignments range from one to two years the exact duration will be based on business needs and mutual agreement.
This secondment offers a unique chance to broaden your experience expand your knowledge and contribute meaningfully to AskBios mission: to advance gene therapy and change the lives of patients around the world.
If youre interested in exploring this opportunity we encourage you to:
Speak with your direct manager to discuss your interest and alignment with your development goals.
Apply directly using the link provided in the posting.
We look forward to seeing how our colleagues continue to grow and make an impact across the Bayer-AskBio partnership.
Our vision: Pioneering science to create transformative molecular medicines.
Our mission: Lead innovative science and drive clinical outcomes to transform peoples lives.
Our principles:
Advance innovative science by pushing boundaries.
Bring transformative therapeutics to patients in need.
Provide an environment for employees to reach their fullest potential.
Our values:
Be a Pioneer. We are not afraid of the impossible and to innovate to make gene therapies accessible to those in need.
Cultivate Collaboration. Strive to be the best teammate actively listen openly communicate and embrace diverse points of view.
Embrace Responsibility. We are humbled by the enormity of our hold a relentless commitment to advance science and clinical outcomes for our patients families and caregivers.
Raise the Bar. Continuously drive improvements and efficiencies. Seek and provide constructive feedback. Have a bias for learning and action.
Act with Uncompromising Integrity. Be honest transparent and committed to doing whats right in every situation. Make clear commitments and follow through.
Position Summary
The Data Engineer plays a pivotal role in shaping and driving the evolution of our global biopharmaceutical lab networks data landscape. This position is responsible for designing and implementing data strategies frameworks and pipelines that enable the seamless capture integration and utilization of scientific and operational data across a diverse range of laboratory instruments and platforms.
The Data Engineer ensures that our data architecture vision is strategically aligned with the organizations scientific and business objectives supporting the advancement of research development and innovation. This leader will provide operational oversight for all data architecture initiatives including developing long-term roadmaps managing cross-functional collaboration and establishing governance structures that uphold data quality security and compliance.
The Data Engineer will also drive the adoption of best practices by partnering with stakeholders across research business and technology domains and by facilitating the resolution of complex data challenges. Through proactive engagement and clear communication this role will deliver regular updates on the data architecture portfolio to executive and departmental leadership ensuring transparency and alignment as we transform data into actionable insights and strategic value.
This position will be based in RTP NC or Philadelphia PA and will report to the Associate Director IT Infrastructure.
Job Responsibilities
Strategy & Planning
Develop and deliver long-term strategic goals for the companys data architecture vision creating a multi-year roadmap that aligns with scientific and business objectives
Establish and govern the processes for identifying collecting and managing corporate metadata. Implement methods for tracking and improving data quality completeness and lineage across systems
Create and enforce strategies for data security backup disaster recovery and archiving ensuring all data architectures and platforms follow relevant regulatory standards (e.g. GxP 21 CFR Part 11)
Operational Management
Act as the primary advocate for data management best practices collaborating with project managers scientific leaders and business units on all projects involving enterprise data
Collaborate closely with business leaders and scientific teams to understand data needs and priorities translating these into actionable technical requirements
Address complex data-related challenges including systems integration multi-platform compatibility and data source mapping to ensure quality and consistency
Document the data architecture and environment to maintain a current and accurate view of the enterprise data landscape enabling better decision-making and impact analysis
Project Based Work
Develop robust secure and scalable architectures for capturing storing and managing laboratory data from instruments across global sites
Establish and maintain efficient pipelines and interfaces for seamless data movement between instruments labs and central data repositories
Standardization & Governance
Develop and implement global standards for data structure quality and security ensuring consistency across all lab environments
Identify opportunities to optimize data usage introducing analytics platforms and visualizations that enable better decisions increased efficiency and scientific breakthroughs
Stay current with industry trends new technologies and best practices for laboratory data integration proposing and implementing forward-looking solutions
Minimum Requirements
Bachelors degree in computer science information technology or related field and 8 years of relevant work experience OR Masters degree in computer science information technology or related field and 6 years of relevant work experience
6 years of experience in data architecture data engineering or related roles
Proven hands-on experience with enterprise data modeling (conceptual logical physical) and business requirements analysis
Strong understanding of metadata management principles and tools
Experience with data processing flowcharting and life cycle methodologies
Experience within the pharmaceutical biotech or scientific industries
Expertise in data modeling database design and data warehouse/lake architecture (on-prem cloud or hybrid)
Experience with modern data platforms (AWS Azure GCP)
Excellent communication and stakeholder engagement skills with proven ability to align technical capabilities with business objectives
Strong analytical and problem-solving abilities
Preferred Education Experience and Skills
Experience with repository-based tools
Forward-looking mindset and ability to stay current with emerging technologies
Programming skills in Python Java or equivalent languages
Track record of successful cross-functional collaboration and leadership
Understanding of laboratory instrumentation LIMS ELN and related data standards and protocols
Experience with regulatory compliance requirements (GxP 21 CFR Part 11)
Experience developing and implementing data governance frameworks
AskBio Inc. (AskBio) is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race color religion gender sexual orientation gender identity national origin age disability veteran status or any other protected status prohibited under Federal State or local laws. All employment decisions are based on valid jobrelated requirements. If you are a qualified individual with a disability or a disabled veteran and are unable or limited in your ability to use or access our website you may request a reasonable accommodation to express interest in a specific opening by calling us at or sending us an email at .