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Barcelona, Catalunya, España
Onsite
Report to: Unify Practice Lead
This position will be in charge of data integration and developing and implementing systems architecture and solutions on the Aizon platform that will meet business needs.
You will also be gathering requirements and functional specifications, assessing the current software systems in place to identify areas in need of improvement, overseeing development teams, updating the company on any developments in systems architecture projects, and integrating any updated specifications and requirements into the systems architecture.
Help design and implement data management strategies to ensure data integrity, accuracy, and security throughout the integration process.
Support Senior Solution Architects to analyze the needs of our customers, building-specific solutions that fit those requirements, using the tools and algorithms provided by the product developed by our Company.
Being part of internal initiatives and projects and POCs for our clients.
Being proactive and proposing platform improvements to address specific Biotech needs for research labs, OEMs, and Pharma manufacturing.
Identify opportunities for new business based on training/onboarding experience.
This profile will work collaboratively with data scientists, quality engineers, usability experts, support engineers, and clients to improve the Platform and expand the range of standard solutions.
Must-have
Bachelor’s degree in Information Technology, Software Engineering, Computer Science, or related field.
Aspire to gain more experience in engineering and software architecture design.
Medium-level understanding of coding languages (Python, Java, JavaScript, React).
Desire to learn and obtain knowledge of Biotechnological Processes (e.g., fermentation, chromatography, viral inactivation) and Pharma Regulations.
Willing to comply with and follow all regulations required when working in a highly regulated environment, such as ISO standards and GMP regulations.
Experience with integration of systems and technologies, including Manufacturing Execution Systems (MES), Laboratory Information Management Systems (LIMS), Enterprise Resource Planning (ERP) Systems, Quality Management Systems (QMS), SAP, and SCADA systems.
Experience in manufacturing (not laboratory) and functional knowledge of equipment such as bioreactors, sterilizers, analyzers, scales, and related SW
Database Management: Comfortable with the use of SQL databases for data storage, retrieval, and manipulation.
Data engineering/integration experience.
Basic understanding of Artificial Intelligence and Machine Learning algorithms
Previous project management experience is advantageous
Sound knowledge of various operating systems and databases
Experience in statistics (regression, ANOVA, distributions, etc.) and data visualization
Knowledge of data modeling for advanced analytics is valued
Proficient in spoken and written English.
Capable of working with a dynamic product that is ever-changing and evolving rapidly.
Strong analytical and creative problem-solving skills.
Ability to take smart risks and champion new ideas.
Team player, collaborative, innovative, get-things-done mindset.
Ability to understand business requirements and translate them into technical requirements.
Show initiative in setting and meeting goals within an environment of managed change.
Ability to work under pressure, responsible for multiple important tasks in parallel.
You take ownership and feel responsible for the product as a whole.
Commitment to quality.
You take responsibility for the success of the project.
Business analysis capabilities.
Excellent client-facing and internal communication skills.
Able to work in a team and be project-oriented.
Availability to travel to visit clients is required.
