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- Tasks: Lead a dynamic team in AI-driven drug discovery and shape data strategies.
- Company: Join a cutting-edge biotech firm revolutionising drug discovery with AI technology.
- Benefits: Enjoy a competitive salary, bonuses, equity options, and hybrid work flexibility.
- Why this job: Make a real impact in healthcare while collaborating with top scientists and engineers.
- Qualifications: PhD or MSc in Data Science or related field; leadership experience in biotech is essential.
- Other info: Apply ASAP to be part of an innovative journey in precision medicine!
The predicted salary is between 88000 - 112000 £ per year.
A rapidly growing biotech company at the forefront of AI-driven drug discovery is seeking an exceptional Head of Data Science to lead and scale a multidisciplinary team of data scientists, bioinformaticians, and machine learning engineers. This is a strategic leadership role with high impact—working across biology, chemistry, and clinical domains to drive insight, innovation, and intelligent decision-making throughout the R&D lifecycle.
Key Responsibilities:
- Lead, mentor, and grow a high-performing data science team
- Define and execute the data strategy supporting target discovery, compound optimisation, and translational research
- Drive the development and deployment of machine learning models and AI tools for biomarker discovery, predictive modelling, and multi-modal data integration
- Collaborate with wet-lab scientists, software engineers, and external partners to translate data into therapeutic breakthroughs
- Represent data science in senior leadership and contribute to company-wide strategy and growth
Experience:
- PhD or MSc in Data Science, Computational Biology, AI/ML, or related STEM field
- Proven experience leading data science teams in biotech, pharma, or health-tech
- Deep technical expertise in machine learning, statistical modelling, and real-world application to biological data (e.g. omics, imaging, screening)
- Familiarity with drug discovery pipelines, from early discovery through translational research
- Strong communicator with the ability to influence across scientific and commercial teams
Desirable:
- Experience with generative AI, multi-omics integration, or structure-based drug design
- Understanding of regulatory data requirements and translational biomarkers
- Previous involvement in VC-backed or early-stage biotech growth
Please apply ASAP to be considered!
Contact Detail:
In Technology Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science
✨Tip Number 1
Network with professionals in the biotech and data science fields. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and leaders in the sector. This can help you gain insights into the company culture and the specific challenges they face.
✨Tip Number 2
Showcase your leadership skills by discussing relevant experiences where you've successfully led teams or projects. Prepare examples that highlight your ability to mentor and grow talent, as this is crucial for the Head of Data Science role.
✨Tip Number 3
Familiarise yourself with the latest advancements in AI and machine learning, particularly in the context of drug discovery. Being able to discuss current trends and technologies will demonstrate your passion and expertise during interviews.
✨Tip Number 4
Prepare to articulate how you would define and execute a data strategy for target discovery and compound optimisation. Think about specific methodologies or frameworks you would implement, as this will show your strategic thinking and alignment with the company's goals.
We think you need these skills to ace Head of Data Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in biotech or drug discovery. Emphasise leadership roles and any specific projects that showcase your expertise in machine learning and AI applications.
Craft a Compelling Cover Letter: Your cover letter should reflect your passion for the role and the industry. Discuss how your background aligns with the company's mission in AI-driven drug discovery and mention specific achievements that demonstrate your capability to lead a data science team.
Highlight Technical Skills: In your application, clearly outline your technical skills related to machine learning, statistical modelling, and any experience with biological data. Mention any familiarity with drug discovery processes and tools that are relevant to the position.
Showcase Leadership Experience: Since this is a strategic leadership role, be sure to include examples of how you've successfully led teams in the past. Highlight your mentoring abilities and any initiatives you've taken to drive innovation within your previous roles.
How to prepare for a job interview at In Technology Group
✨Showcase Your Leadership Skills
As a Head of Data Science, you'll be expected to lead and mentor a team. Be prepared to discuss your leadership style, how you've successfully managed teams in the past, and specific examples of how you've driven team performance and growth.
✨Demonstrate Technical Expertise
Make sure to highlight your deep technical knowledge in machine learning and statistical modelling. Prepare to discuss real-world applications of these skills, particularly in relation to biological data, as this will be crucial for the role.
✨Understand the Drug Discovery Pipeline
Familiarise yourself with the drug discovery process, from target discovery to translational research. Be ready to explain how your experience aligns with these stages and how you can contribute to the company's goals in this area.
✨Communicate Effectively
Strong communication skills are essential for influencing across scientific and commercial teams. Practice articulating complex ideas clearly and concisely, and prepare to discuss how you've successfully collaborated with diverse teams in previous roles.
