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- Aufgaben: Join us as a Machine Learning Scientist focusing on Chemistry applications and drive innovative projects.
- Arbeitgeber: We are a global leader in Healthcare, Life Science, and Electronics, passionate about innovation.
- Mitarbeitervorteile: Enjoy opportunities for career growth, skill expansion, and working with cutting-edge technologies.
- Warum dieser Job: Contribute to impactful machine learning applications in a diverse, high-performance team.
- Gewünschte Qualifikationen: Degree in Chemistry or related field; strong machine learning background; PhD is a plus.
- Andere Informationen: Work remotely from Boston or Darmstadt and be part of a culture that values diversity.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
Work Your Magic with us!
Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That’s why we are always looking for curious minds that see themselves imagining the unimaginable with us.
Your role:
We are currently hiring a Machine Learning Scientist with focus on Chemistry applications at our Science and Technology office. As part of the AI & Quantum Lab, this role plays a key part in the way we leverage the latest innovations of machine learning and artificial intelligence for chemistry-related applications in the company. Our team accelerates the adoption of novel, state-of-the-art digital methods in machine learning and artificial intelligence throughout the whole business by demonstrating their impact via providing scalable implementations on our internal infrastructure. To support this mission, we are looking for a motivated and experienced machine learning scientist to join our team. In this role, you will be driving our activities around developing, training, and using machine learning models, e.g. for chemical property prediction, reaction optimization, material development, and related applications. You will work collaboratively with other researchers and engineers to identify valuable approaches to apply these models and will research on best practices to improve these models and deploy them for internal use or help developing them into customer-facing products. This is a great opportunity to contribute to an exciting field of machine learning with impactful industrial applications.
The AI & Quantum Lab is part of our Group Digital Innovation organization within the Group Science and Technology office. Our team performs technological outlook in the field of digital and AI to transfer innovative methods and models into the company. As technological trailblazers, our focus is to separate the hype from the substance and support our colleagues in all our business sectors – Life Science, Healthcare, and Electronics – understanding and utilizing the value of innovative approaches for their daily work and as part of new products. We offer professionals the opportunity to boost their career, working in an interdisciplinary high-performance team that is focused on innovation in the intersection of business, chemistry and digital technology. This includes the opportunity to expand your skills in scientific computing, HPC infrastructure, and business dimensions. To work with cutting-edge HPC technologies and scientific applications, intellectually challenge and solve complex technical problems and work in a stimulating environment in a very diverse, high caliber department.
This role can be operated from either Boston (USA), or Darmstadt in the Rhine-Main area (Germany).
Who you are:
- Degree in Chemistry or a related field with a strong background in machine learning or Degree in Machine Learning/Computer Science with a strong background in Chemistry or a related field; PhD is a plus
- Experienced in developing, training and using machine learning models beyond textbook problems
- Experienced in using scientific modeling and data analytics software libraries and programming languages
- Experienced in using high-performance computing systems and/or cloud infrastructure
- Always curious and open to discover and evaluate new approaches and methods to tackle today’s problems with tomorrow’s solutions
- Highly self-motivated to never stop exploring
- Excellent at communicating and operating in an international environment
- Bonus: Industry experience or a track record of developing and/or applying innovative machine learning solutions to impactful business problems
What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We celebrate all dimensions of diversity and believe that it drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
Apply now and become a part of our diverse team!
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(Senior) Machine Learning Scientist (all genders) Arbeitgeber: Merck Group
Kontaktperson:
Merck Group HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: (Senior) Machine Learning Scientist (all genders)
✨Tip Number 1
Familiarize yourself with the latest advancements in machine learning and AI, especially as they relate to chemistry applications. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your experience with high-performance computing systems and cloud infrastructure. Be prepared to discuss specific projects where you've utilized these technologies, as this is a key aspect of the role.
✨Tip Number 3
Network with professionals in the field of machine learning and chemistry. Attend relevant conferences or webinars to connect with potential colleagues and gain insights into the latest industry trends.
✨Tip Number 4
Prepare to demonstrate your problem-solving skills by discussing real-world challenges you've faced in previous roles. Highlight how you approached these problems using innovative machine learning solutions.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: (Senior) Machine Learning Scientist (all genders)
Tipps für deine Bewerbung 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and chemistry. Focus on relevant projects, publications, or any industry experience that showcases your skills in developing and applying machine learning models.
Craft a Compelling Cover Letter: In your cover letter, express your passion for machine learning and its applications in chemistry. Mention specific projects or experiences that align with the role and demonstrate your curiosity and motivation to innovate.
Showcase Technical Skills: Clearly outline your proficiency in scientific modeling, data analytics software, and programming languages. If you have experience with high-performance computing systems or cloud infrastructure, make sure to include that as well.
Highlight Collaborative Experience: Since the role involves working collaboratively with researchers and engineers, emphasize any past experiences where you successfully worked in interdisciplinary teams. This will show your ability to communicate and operate effectively in an international environment.
Wie du dich auf ein Vorstellungsgespräch bei Merck Group vorbereitest
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with machine learning models, especially in chemistry applications. Highlight specific projects where you've developed or optimized models, and be ready to explain the methodologies you used.
✨Demonstrate Collaborative Skills
Since this role involves working with researchers and engineers, emphasize your ability to collaborate effectively. Share examples of how you've worked in interdisciplinary teams and contributed to collective goals.
✨Stay Curious and Open-Minded
The company values curiosity and innovation. Be ready to discuss how you stay updated on the latest trends in machine learning and chemistry, and share any new approaches or methods you've explored recently.
✨Communicate Clearly and Confidently
Effective communication is key in an international environment. Practice explaining complex technical concepts in a clear and concise manner, ensuring that you can engage with both technical and non-technical audiences.
