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- Aufgaben: Develop and enhance bioreactor models using advanced techniques and data analysis.
- Arbeitgeber: Join a leading company in the Biopharmaceutical Industry making impactful changes.
- Mitarbeitervorteile: Work in a dynamic environment with opportunities for innovation and collaboration.
- Warum dieser Job: Be at the forefront of biopharma technology, solving real-world challenges with cutting-edge methods.
- Gewünschte Qualifikationen: Skilled in simulation techniques, Python, and data science tools; biopharma knowledge is a plus.
- Andere Informationen: Experience with explainable AI and managing data pipelines is a nice bonus.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
Do you want to be a driving force in a rapidly expanding environment, making a tangible difference in the process? We have an exciting opportunity for you!
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 or please call me on +49 30 726211428 for further information.
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Process Modeling Specialist Arbeitgeber: EPM Scientific
Kontaktperson:
EPM Scientific HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Process Modeling Specialist
✨Tip Number 1
Familiarize yourself with the latest advancements in machine learning and biopharma technologies. This will not only enhance your knowledge but also show your potential employer that you are proactive and passionate about the field.
✨Tip Number 2
Network with professionals in the biopharmaceutical industry, especially those who specialize in process modeling. Attend relevant conferences or webinars to connect with experts and gain insights into current trends and challenges.
✨Tip Number 3
Engage in online communities or forums related to biopharma and data science. Sharing your knowledge and asking questions can help you build a reputation and may lead to job opportunities through referrals.
✨Tip Number 4
Consider working on personal projects that involve building models using Python and data science tools. This hands-on experience will not only strengthen your skills but also provide you with concrete examples to discuss during interviews.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Process Modeling Specialist
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of a Process Modeling Specialist. Familiarize yourself with biopharmaceutical processes and the specific modeling techniques mentioned in the job description.
Tailor Your CV: Highlight your relevant skills and experiences that align with the job description. Focus on your expertise in advanced simulation techniques, Python programming, and any experience with data science tools that are specifically mentioned.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for biopharma and process modeling. Discuss how your background and skills make you a perfect fit for the role, and mention any innovative projects you've worked on that relate to the position.
Showcase Your Projects: If you have previous projects or prototypes related to process modeling, be sure to include them in your application. Provide links or descriptions that demonstrate your ability to apply machine learning and control techniques effectively.
Wie du dich auf ein Vorstellungsgespräch bei EPM Scientific vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with advanced simulation techniques and data science tools. Highlight specific projects where you've used Python, TensorFlow, or other relevant libraries to solve complex problems.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've identified errors in models and improved their performance. Discuss your approach to analyzing data and uncovering valuable insights that led to successful outcomes.
✨Emphasize Collaboration Experience
Since the role involves working closely with biopharma experts and engineers, be ready to share experiences where you collaborated on projects. Highlight how you gathered feedback and refined models based on team input.
✨Stay Updated on Industry Trends
Show your enthusiasm for the field by discussing recent advancements in machine learning and biopharma technologies. Mention any relevant articles, conferences, or courses you've engaged with to stay informed.
