Sr. Computational Chemical Engineer – Process Modelling

Employment Type: Full-time - Remote/Hybrid About Us At Aleph Technologies, we are on a groundbreaking mission to redefine process optimization within the industrial landscape. Focused on addressing the intricacies of optimizing complex industrial processes, particularly in chemical manufacturing, our AI-powered and Process Digital Twin-enabled software stands at the forefront of innovation. Acting as a dedicated co-pilot, our software empowers process engineers and operators to efficiently troubleshoot issues, identify solutions, and manipulate operating set-points for enhanced operational performance. Embark on this transformative journey with us as we revolutionize process optimization, resolving complex challenges and elevating industrial plant operations to new heights. About the Role We are seeking a Senior Computational Chemical Engineer (Process Modelling) to join our core engineering team. You will apply your computational modelling and optimization expertise to solve challenging problems in chemical process engineering. Beyond technical delivery, you will mentor junior engineers, influence key technical decisions, and help build the foundation for our domain-specific engineering practices as we grow. Required Skills & Competencies Chemical Engineering Fundamentals Apply core principles of thermodynamics, reaction kinetics, transport phenomena, and material balances to industrial problems. Translate theoretical knowledge into practical engineering solutions across diverse process contexts. Evaluate process feasibility, safety implications, and environmental considerations in design decisions. First Principles Modeling Create and validate mechanistic models based on fundamental physical and chemical principles. Simulate chemical processes to predict system behavior under various operating conditions. Use models to optimize process design, control strategies, and scale-up procedures. Process Simulation Software Demonstrate proficiency in one or more industry-standard platforms (Aspen Plus, Aspen HYSYS, gPROMS, AVEVA PRO/II, DWSim, or IDAES). Build, troubleshoot, and validate steady-state and dynamic process flowsheets. Configure thermodynamic property packages and ensure convergence of complex simulations. Data Analysis Extract, clean, and preprocess large datasets from process historians, laboratory systems, and simulation outputs. Perform statistical analysis to identify trends, correlations, and anomalies. Create clear visualizations and dashboards to communicate insights to stakeholders. Python Programming Develop scripts and applications for process data manipulation, analysis, and visualization. Automate repetitive engineering tasks, report generation, and simulation workflows. Write clean, modular, and well-documented code suitable for team collaboration. Communication & Collaboration Present complex technical concepts clearly to both technical and non-technical audiences. Prepare comprehensive technical reports, design documents, and executive summaries. Work effectively within multidisciplinary teams including R&D, operations, data science, and management. Mentor junior team members and contribute to knowledge transfer initiatives. Preferred Skills & Competencies Process Control & Optimization Design and tune control systems for chemical processes, including PID controllers and cascade loops. Conduct dynamic simulations to evaluate control system performance and stability. Formulate and solve optimization problems for process efficiency, yield maximization, and cost reduction. Experience with advanced control strategies (model predictive control, feedforward control). Apply techniques such as linear programming, nonlinear optimization, and mixed-integer programming to real-world scenarios. Advanced Modeling Capabilities Develop custom models for non-standard equipment or novel process configurations. Integrate simulation outputs with external tools and databases for expanded analysis. Build interfaces between simulation tools, databases, and analytical frameworks. Machine Learning Fundamentals Apply supervised and unsupervised learning techniques to process engineering problems. Build predictive models for soft sensing, fault detection, and quality prediction. Integrate data-driven models with first-principles simulations for hybrid modeling approaches. Evaluate model performance, manage overfitting, and validate results against process knowledge. Agile Methodology Lead or actively participate in Agile ceremonies including sprint planning, daily stand-ups, and retrospectives. Break down complex engineering projects into manageable tasks and deliverables. Adapt to changing priorities and deliver incremental value in iterative cycles. AI Tools Familiarity Evaluate and integrate emerging AI-powered tools to enhance productivity and modeling capabilities. Apply generative AI assistants for code development, documentation, and problem-solving. Guide team members in the effective and responsible use of AI tools. Version Control (Git) Basic understanding on how to manage code repositories using Git, including branching, merging, and conflict resolution. Maintain clear commit histories and documentation for collaborative projects. Customer Project Proposal Writing Author compelling project proposals tailored to customer needs and business objectives. Define project scope, objectives, methodology, deliverables, and expected outcomes clearly. Develop budgets, timelines, and resource plans for proposed engagements. Collaborate with sales, business development, and technical teams to strengthen proposal competitiveness. Required Qualifications Bachelor's or Master's degree in Chemical Engineering or a related discipline. 2+ years of hands-on experience in process modeling, simulation, or related technical roles. Demonstrated experience with at least one major process simulation platform (Aspen Plus, HYSYS, gPROMS, IDAES, or equivalent). Proven proficiency in Python programming for engineering applications. Strong foundation in chemical engineering principles and their industrial applications. Experience working in industrial or research environments with chemical processes. Track record of successful cross-functional collaboration. Preferred Qualifications Master’s or Ph.D. in Chemical Engineering or a related discipline. 3+ years of experience leading technical projects and mentoring junior engineers. Experience with process control systems and optimization techniques. Experience with machine learning applications in process engineering contexts. Experience with Agile project management methodologies. Prior experience writing successful customer or client project proposals. What We Offer ·     Competitive salary and benefits package. ·     ESOP participation with significant upside potential. ·   The opportunity to join an early-stage startup where your work directly shapes the company's trajectory. ·     A collaborative environment with minimal hierarchy and maximum impact. ·     Exposure to a wide range of technical and business challenges. ·     Professional growth opportunities that expand as the company scales. ·     Flexibility and autonomy to drive innovation and take ownership of meaningful projects. ·     A passionate, dedicated team working on cutting-edge solutions in process engineering.