About the company Aizon is a software-as-a-service provider that transforms manufacturing operations in life science industries using advanced analytics and artificial intelligence. We are a fast-growing company entering an exciting new stage of expansion, and we are looking for ambitious new team members who are motivated to directly impact our growth and success. If you want your work to make a visible difference as we scale, this is the place to do it. Aizon is helping pharma manufacturers and CDMOs make better decisions in GMP operations. What makes us different from other manufacturing platforms? We help operations leaders and engineers avoid endless cycles of chasing data in disparate and heavy-handed systems and rapidly understand how to run their manufacturing processes better. We’re solving multiple problems in GMP operations that cost manufacturers millions yearly while accelerating their digital maturity journey. One of our unique capabilities is the ability to operationalize the use of predictive AI models in real time without a big data science staff. We're backed by leading industry and software investor firms with solid industry and technology expertise, giving us the foundation to grow with confidence. Our mission is to improve global health by optimizing how medicines are manufactured so that pharma and biotech companies can provide patients worldwide with the right medicine at the right time and price. Join us if you are motivated to directly impact our company's success and growth path forward and, more importantly, to positively contribute to the life science industry and deserving patients worldwide. About the role 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. Responsibilities Support systems integration between the Aizon technology and other pharma manufacturing systems. 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. Requirements 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. Nice-have 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 The Human We’re Looking For 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.
