Our Client is a market leader in the Biopharmaceutical Industry. They are looking to hire a top Process Modeling Scientist
Tasks
Develop models to enhance bioreactor processes. Use mathematical equations, probability-based methods, and machine learning to build these models. Apply control techniques to manage and improve the processes.
Test the models to ensure they work correctly. Identify any errors and find ways to improve their performance. Focus on making the models faster, more accurate, and scalable.
Analyze data to uncover valuable patterns and insights. Enhance the models by adding relevant features to improve their accuracy and effectiveness.
Assist in creating prototypes to test new ideas and technologies. Ensure that these prototypes function as expected and meet project goals.
Work closely with biopharma experts to ensure the models solve real-world challenges. Collect feedback from customers to refine the models and make them more useful.
Stay up-to-date with advancements in machine learning and biopharma technologies. Explore innovative ways to improve processes, control methods, and decision-making.
Collaborate with engineers and product managers to develop solutions that are user-friendly, efficient, and scalable.
Profile
Skilled in advanced simulation techniques like probabilistic modeling, neural networks, Gaussian processes, neural ODEs, SDEs, PDEs, mathematical optimization, control theory, and sensitivity analysis.
Experienced with Python and data science tools like NumPy, SciPy, Pandas, TensorFlow/PyTorch/Jax, Scikit-learn, and libraries for data visualization.
Familiar with managing data pipelines using tools like Flyte, Apache Spark, and Airflow, as well as cloud platforms such as AWS and Azure.
Good understanding of biopharma data, including upstream processes and bioreactor behavior.
Nice to have
Experience with explainable AI (XAI) to create models that are easy to understand.
Previous experience in biopharma process modeling, especially in the early stages of production, is a plus.
Experience creating and managing data pipelines for real-time data analysis.
Strong understanding of combining traditional modeling with machine learning methods.
Contact
Please contact me on ammar.nabi@phaidoninternational.com or please call me on +49 30 726211428 for further information.
