Job Summary: The individual will serve as the Technical Architect responsible for planning, designing, coding, and developing solutions using the SIMCA Online application. A key skill is the ability to understand user requirements and processes. This role involves overall implementation of SIMCA Online and distributing work among team members.
Skills Required: Camstar (Siemens Opcenter)
Essential Skills:
- Experience in pharma and life sciences full-stack architecture and data management (preferred).
- Expertise in computer science disciplines related to the pharmaceutical/biological life science industry is highly preferred.
- Proficiency in C#, SQL, Graph, GO, JavaScript, and NoSQL.
- Hands-on experience with SIMCA and SIMCA Online, as well as OSIsoft PI, PI AF, Visual Studio, and MS DB Management Studio.
- Experience in SIMCA deployment and building various process models through multiple process datasets.
- Knowledge of mathematics and computer science theory and application of statistical methodologies relative to process performance analytics and data sciences is preferred.
Desirable Skills:
- Strong communication skills, adaptability, and a fast-learning curve.
- Commitment and drive to set and achieve team goals.
- Good leadership abilities with experience coordinating and directing project-based efforts while supervising, motivating, and leading project teams.
- Excellent facilitation of effective communication and strong teamwork skills.
Must-Have Qualifications:
- In-depth knowledge and experience with SIMCA and SIMCA Online.
- Proven ability to build and deploy process models using SIMCA Online and analyze process data.
- Proficiency in C#, JavaScript, GO, and other relevant programming languages.
- Experience with SQL and NoSQL databases, including data manipulation, querying, and optimization.
- Hands-on experience with OSIsoft PI and PI AF for data management, collection, and analysis.
- Ability to integrate and manage complex process data and ensure smooth system integration across platforms.
- Strong background in statistical methodologies, data sciences, and mathematics related to process performance analytics.
- Capability to apply data-driven solutions and mathematical models for process optimization and analytics.
- Experience with full-stack architecture in the pharmaceutical and life sciences industry.
- Understanding of system design, data flow, and architecture tailored to the industry's unique needs.
- Expertise in Visual Studio and MS DB Management Studio for development, debugging, and data management.
- Familiarity with industrial data and process analysis tools such as OSIsoft PI and PI AF.
- Strong leadership skills to supervise and motivate a development team.
- Effective communication skills to coordinate with stakeholders and distribute tasks within the team.
- Familiarity with Camstar (Siemens Opcenter) for manufacturing execution systems (MES).
- Ability to understand complex user requirements and translate them into practical, scalable solutions.
- Strong analytical and problem-solving skills to address technical challenges in the implementation process.