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- Aufgaben: Join a dynamic team to develop groundbreaking digital tools for mRNA therapy delivery.
- Arbeitgeber: Be part of an innovative biotech startup backed by M-Ventures, merging healthcare and life sciences.
- Mitarbeitervorteile: Enjoy remote work flexibility and the resources of a leading multinational organization.
- Warum dieser Job: Make a real impact in mRNA innovation while collaborating with diverse experts worldwide.
- Gewünschte Qualifikationen: PhD preferred in Bioinformatics or Computer Science; 3+ years experience in bioinformatics and ML techniques.
- Andere Informationen: Work in an interdisciplinary team and utilize cutting-edge AI and computational biology methods.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
Your Role:
Targeted mRNA delivery has the potential to change patient lives by enabling life-changing therapies through digital innovation. An M-Ventures funded biotech start-up is poised to seize the opportunity at the intersection between our Healthcare and Life Science Divisions. Our mandate is to think big and reach across teams to leverage the full capabilities of the organization. With the agility of a startup and the resources of a leading multinational organization, the targeted mRNA delivery team is transforming the way researchers develop mRNA therapies.
As an initial member of the digital team, you will work on crafting a groundbreaking digital platform to enable the therapeutic delivery of mRNA. You will use your knowledge and understanding of AI, ML, and bioinformatics to develop digital tools to accelerate the development of mRNA-based therapeutics. You will interface with lab-based colleagues to determine effective strategies for developing real-world predictive models and use your computational expertise to implement the findings in accessible formats. Your strong interpersonal skills and knowledge of computational techniques in biology and AI modeling enable you to make strides at the forefront of mRNA innovation. You will be working in an interdisciplinary team that includes chemists, biologists, data scientists, and software engineers based around the world.
Location: This role can be operated from Darmstadt, DE, or Remote US (Boston area preferred).
Who you are:
- Degree in Bioinformatics, Computer Science, or similar field (PhD preferred).
- 3+ years of experience preferred with a minimum of 2 years working with bioinformatics and/or ML techniques.
- Experience working in multi-disciplinary and cross-cultural teams.
- Familiarity with in-vivo and in-vitro screening assays and/or NGS data preferred.
- Experience with ML programming tools, including RDKit, Python, Tensorflow, SQL, etc. and agile working methods.
- Familiarity with Palantir Foundry or AWS computing platforms preferred.
- Excellent communication skills.
EF-ST-SD Digital Chemistry
TA E12-E13T / Expert 2
#J-18808-Ljbffr
Scientist, AI/Bioinformatics (all genders) Arbeitgeber: Emdgroup
Kontaktperson:
Emdgroup HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Scientist, AI/Bioinformatics (all genders)
✨Tip Number 1
Make sure to showcase your experience with bioinformatics and machine learning techniques during the interview. Be prepared to discuss specific projects where you've applied these skills, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Highlight your ability to work in interdisciplinary teams. Share examples of how you've collaborated with chemists, biologists, or data scientists in the past, as this role requires strong teamwork across various fields.
✨Tip Number 3
Familiarize yourself with the latest trends in mRNA therapies and digital innovation. Being knowledgeable about current advancements will not only impress your interviewers but also show your genuine interest in the field.
✨Tip Number 4
Prepare to discuss your experience with programming tools like Python and TensorFlow. Having concrete examples of how you've used these tools in previous projects will help you stand out as a candidate.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Scientist, AI/Bioinformatics (all genders)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Highlight your experience with AI, ML, and bioinformatics in your application.
Tailor Your CV: Customize your CV to reflect your relevant experience in bioinformatics and machine learning. Include specific projects or achievements that demonstrate your skills in these areas.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the role. Emphasize your ability to work in interdisciplinary teams and your familiarity with tools like Python and Tensorflow.
Showcase Communication Skills: Since excellent communication skills are essential for this role, consider including examples in your application that demonstrate your ability to convey complex information clearly and effectively.
Wie du dich auf ein Vorstellungsgespräch bei Emdgroup vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with bioinformatics, AI, and ML techniques in detail. Highlight specific projects where you've utilized programming tools like Python or TensorFlow, and be ready to explain how these skills can contribute to the development of mRNA-based therapeutics.
✨Demonstrate Interdisciplinary Collaboration
Since you'll be working in a multi-disciplinary team, share examples of past experiences where you successfully collaborated with chemists, biologists, or data scientists. Emphasize your strong interpersonal skills and how they helped bridge gaps between different fields.
✨Understand the Company’s Vision
Research the biotech start-up and its mission regarding targeted mRNA delivery. Be ready to discuss how your background aligns with their goals and how you can contribute to their innovative approach in transforming mRNA therapies.
✨Prepare for Behavioral Questions
Expect questions that assess your problem-solving abilities and adaptability in a fast-paced environment. Use the STAR method (Situation, Task, Action, Result) to structure your responses, showcasing your experience in agile working methods and cross-cultural teamwork.
