Global Biotechnology Company

Sourcing a Data Scientist for a Site-Based Role in Cambridgeshire.

The Challenge

Operating in the highly competitive biotechnology sector, our client—a leading company specialising in genomic research and advanced biotechnology solutions—required a Data Scientist to join their Cambridgeshire-based team.

The role was pivotal to their operations, focusing on analysing complex genomic datasets to support groundbreaking discoveries and innovation. To succeed, the candidate needed not only strong technical expertise in data science tools and techniques but also a deep understanding of the biotechnology and life sciences industry.

The Cambridgeshire location added another layer of complexity. Attracting top-tier talent to a site-based position in this area is particularly challenging, given the demand for highly skilled professionals and the competitive market for biotech roles.

The Solution

Xist4 worked closely with the client to develop a recruitment strategy tailored to their unique needs and the challenges of the sector. Key steps included:

• Role and Industry Alignment: Gaining a deep understanding of the technical requirements, including proficiency in Python, R, and machine learning, as well as familiarity with genomic datasets and related tools.
• Focused Talent Search: Targeting candidates with both industry experience and strong academic backgrounds in fields such as bioinformatics, computational biology, or data science.
• Maximising Reach: Leveraging niche job boards, professional networks, and our extensive database of data science professionals to identify suitable candidates, both locally and those open to relocating.
• Comprehensive Candidate Assessment: Conducting detailed one-to-one interviews to evaluate technical skills, problem-solving capabilities, and cultural fit within the organisation’s innovative and collaborative environment.

The Result

Xist4 successfully identified and presented a refined shortlist of highly qualified candidates within four weeks. The client offered the position to their top choice—a Data Scientist with extensive experience in genomic data analysis and a strong background in machine learning.

The new hire quickly integrated into the team, bringing immediate value to the company’s data-driven research projects and contributing to their ongoing advancements in biotechnology.