Data Scientist - Innovation Collaborations

Data Scientist - Innovation Collaborations

Wissenschaftliche Mitarbeiter 48000 - 84000 € / Jahr (geschätzt) Kein Home Office möglich
École polytechnique fédérale de Lausanne, EPFL

Auf einen Blick

  • Aufgaben: Lead innovative research on hair longevity and regulation.
  • Arbeitgeber: Join a cutting-edge biotech company focused on aging science in nutrition and beauty.
  • Mitarbeitervorteile: Work in a collaborative lab environment with opportunities for groundbreaking discoveries.
  • Warum dieser Job: Be at the forefront of hair biology research and contribute to revolutionary innovations.
  • Gewünschte Qualifikationen: PhD in hair-related biology with expertise in cellular and molecular biology required.
  • Andere Informationen: Experience with 3D culture models is essential for this role.

Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.

Our client is a biotech company specializing in aging science within the nutrition and beauty sectors. As they expand their R&D efforts, they are seeking a Research Scientist with proven expertise in hair biology.

Reporting to the R&D Director, Skin & Hair Science, this role focuses on leading research projects to uncover the molecular and cellular mechanisms behind hair longevity and identify groundbreaking innovations for its regulation.

Responsibilities

  • Lead research on molecular and cellular mechanisms of hair longevity
  • Identify innovations in hair regulation
  • Develop and optimize 2D and 3D culture models
  • Analyze data to uncover targets, markers, and advanced technologies
  • Collaborate with lab members on multidisciplinary approaches

Requirements

  • A PhD in a hair-related biology field
  • Significant experience in hair research
  • Strong expertise in cellular and molecular biology
  • Essential experience working with 3D culture models, such as reconstructed hair follicles

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Data Scientist - Innovation Collaborations Arbeitgeber: École polytechnique fédérale de Lausanne, EPFL

Our client is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration in the cutting-edge field of aging science. With a strong commitment to employee growth, they provide ample opportunities for professional development and encourage multidisciplinary teamwork. Located in a vibrant biotech hub, employees benefit from access to state-of-the-art facilities and a culture that values creativity and groundbreaking research.
École polytechnique fédérale de Lausanne, EPFL

Kontaktperson:

École polytechnique fédérale de Lausanne, EPFL HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: Data Scientist - Innovation Collaborations

Tip Number 1

Make sure to highlight any specific projects or research you've conducted related to hair biology. This will demonstrate your expertise and passion for the field, making you a standout candidate.

Tip Number 2

Network with professionals in the biotech and aging science sectors. Attend relevant conferences or webinars to connect with potential colleagues and learn about the latest innovations in hair research.

Tip Number 3

Familiarize yourself with the latest advancements in 3D culture models, especially those related to hair follicles. Being able to discuss these technologies in detail during interviews can set you apart from other candidates.

Tip Number 4

Prepare to discuss your collaborative experiences in multidisciplinary teams. Highlight how your contributions have led to successful outcomes in past research projects, as teamwork is crucial in this role.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Scientist - Innovation Collaborations

PhD in Hair Biology or related field
Expertise in cellular and molecular biology
Experience with hair research
Proficiency in developing and optimizing 2D and 3D culture models
Data analysis skills for identifying targets and markers
Ability to collaborate on multidisciplinary research projects
Strong problem-solving skills
Attention to detail in experimental design and execution
Knowledge of advanced technologies in hair regulation
Excellent communication skills for reporting findings

Tipps für deine Bewerbung 🫡

Understand the Role: Make sure to thoroughly read the job description and understand the specific requirements for the Data Scientist position. Highlight your expertise in hair biology and any relevant research experience.

Tailor Your CV: Customize your CV to emphasize your PhD and significant experience in hair research. Include specific projects or publications that demonstrate your expertise in cellular and molecular biology, as well as your work with 3D culture models.

Craft a Compelling Cover Letter: Write a cover letter that connects your background to the company's focus on aging science within nutrition and beauty. Discuss your passion for hair longevity research and how you can contribute to their R&D efforts.

Highlight Collaboration Skills: Since the role involves collaboration with lab members, be sure to mention any previous teamwork experiences. Provide examples of how you've successfully worked in multidisciplinary teams to achieve research goals.

Wie du dich auf ein Vorstellungsgespräch bei École polytechnique fédérale de Lausanne, EPFL vorbereitest

Showcase Your Expertise

Be prepared to discuss your PhD research and any relevant projects in hair biology. Highlight specific techniques you've used, especially in 3D culture models, as this will demonstrate your hands-on experience.

Understand the Company’s Focus

Research the biotech company’s work in aging science and how it relates to nutrition and beauty. Being knowledgeable about their innovations will show your genuine interest and help you align your answers with their goals.

Prepare for Technical Questions

Expect questions that dive deep into molecular and cellular mechanisms of hair longevity. Brush up on recent advancements in the field and be ready to discuss how they could apply to the company's research.

Emphasize Collaboration Skills

Since the role involves working with multidisciplinary teams, be ready to share examples of past collaborations. Discuss how you’ve successfully worked with others to achieve research goals, showcasing your teamwork abilities.

Data Scientist - Innovation Collaborations
École polytechnique fédérale de Lausanne, EPFL
École polytechnique fédérale de Lausanne, EPFL
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