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For Companies At a Glance
- Tasks: Connect top talent with innovative biotech and deep-tech companies across Europe and the US.
- Company: Join a dynamic team transforming drug discovery through cutting-edge computational science.
- Benefits: Enjoy dedicated sales support, allowing you to focus on high-value client relationships.
- Why this job: Be at the forefront of AI-driven life sciences, shaping the future of healthcare.
- Qualifications: Experience in recruitment within computational sciences is essential; AI/ML experience is a plus.
- Other info: Work independently while managing recruitment processes in a fast-paced, technical environment.
The predicted salary is between 43200 - 72000 £ per year.
We\’re looking for a Senior Consultant in Computational Science and Scientific Engineering, to join our team.
Join a warm desk with an active client base across Europe and the US. You\’ll be working with cutting-edge biotech and deep-tech companies, from early-stage start-ups to mid-sized firms, driving innovation in bio/cheminformatics, computational biology/chemistry, and AI-powered drug discovery. These organisations are pioneering advances in genomics, precision medicine, and AI-driven drug development, transforming how therapies are discovered and developed.
Your role will be to connect high-calibre talent – from computational scientists and software engineers to machine learning specialists – with industry-leading companies. You’ll build deep, long-term relationships in a highly technical and fast-moving sector, acting as a true specialist in the field.
Why join us?
We believe consultants should focus on what truly drives success, building relationships with clients and candidates. That’s why every consultant is assigned a dedicated sales support specialist, allowing them to spend more time in high-value activities rather than getting caught up in administrative tasks. This structure enables our team to deliver a more consistent, high-quality service, achieve greater success, and operate at a level that wouldn’t be possible alone.
Responsibilities
- Partner with biotech and TechBio companies to understand their hiring needs and provide expert recruitment solutions in computational biology and chemistry, bio/cheminformatics, and scientific engineering.
- Build and maintain strong relationships with clients and candidates across Europe and the US, acting as a strategic talent advisor rather than a transactional recruiter.
- Stay ahead of emerging trends in computational sciences, and AI/ML, continuously developing expertise in this space.
- Provide guidance on hiring strategies, market trends, and talent acquisition best practices to help businesses scale effectively.
- Work closely with founders, scientific leaders, and hiring teams to support the growth of pioneering computational science teams.
Requirements
- Must have experience in recruitment across the computational sciences (cheminformatics, bioinformatics, computational chemistry and computational biology). Experience within AI/ML, in biotech is a bonus.
- A strong interest in deep tech, computational science, and AI-driven life sciences, with a desire to develop expertise in this sector.
- Excellent interpersonal skills, with a focus on building long-term professional relationships.
- The ability to work independently and manage recruitment processes across multiple regions.
Senior Consultant – Computational Science & Scientific Engineering employer: Aspire Life Sciences Search
Contact Detail:
Aspire Life Sciences Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Consultant – Computational Science & Scientific Engineering
✨Tip Number 1
Familiarize yourself with the latest trends in computational science and AI-driven drug discovery. This knowledge will not only help you understand the needs of potential clients but also position you as a knowledgeable partner in discussions.
✨Tip Number 2
Network actively within the biotech and deep-tech communities. Attend industry conferences, webinars, and meetups to connect with professionals in the field, which can lead to valuable relationships and insights into hiring needs.
✨Tip Number 3
Leverage social media platforms like LinkedIn to showcase your expertise in computational sciences. Share relevant articles, engage in discussions, and connect with industry leaders to enhance your visibility and credibility.
✨Tip Number 4
Consider obtaining certifications or additional training in areas related to bioinformatics, cheminformatics, or AI/ML. This will not only boost your resume but also demonstrate your commitment to staying current in this fast-evolving field.
We think you need these skills to ace Senior Consultant – Computational Science & Scientific Engineering
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description and understand the specific requirements and responsibilities of the Senior Consultant position. Tailor your application to highlight relevant experiences in computational science and recruitment.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience in recruitment within the computational sciences, particularly in bioinformatics, cheminformatics, and AI/ML. Provide concrete examples of how you've successfully connected talent with companies in these fields.
Showcase Your Passion: Express your strong interest in deep tech and AI-driven life sciences in your application. Mention any relevant projects or initiatives you've been involved in that demonstrate your commitment to staying ahead of trends in computational sciences.
Personalize Your Application: Address your cover letter to the hiring manager if possible, and make sure to convey why you are specifically interested in this role at their company. Personal touches can make a significant difference in how your application is perceived.
How to prepare for a job interview at Aspire Life Sciences Search
✨Show Your Expertise in Computational Sciences
Make sure to highlight your experience in recruitment within computational sciences, such as cheminformatics and bioinformatics. Be prepared to discuss specific projects or roles you've successfully filled in these areas.
✨Demonstrate Your Understanding of the Industry
Research the latest trends in biotech and deep-tech, especially in AI-driven drug discovery. Showing that you are knowledgeable about current advancements will impress the interviewers and demonstrate your commitment to the field.
✨Emphasize Relationship Building Skills
Since the role focuses on building long-term relationships, be ready to share examples of how you've successfully developed and maintained client and candidate relationships in previous positions.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to manage recruitment processes across multiple regions. Think of scenarios where you had to adapt your strategies to meet diverse hiring needs.
