Lead Genomics Computational Biologist | Drug Discovery

Placements24; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Relocation assistance

Health insurance

Retirement plan

Conference attendance and professional

Job summary

Placements24 in London is seeking a Lead Computational Biologist to direct advanced computational methods for large-scale genomic datasets and drive drug discovery programs.

You will mentor a team of computational biologists, collaborate with clinicians and lab scientists, and shape the research strategy for cutting-edge genomics projects. The role emphasizes HPC/cloud computing and publication in top journals.

Qualifications

• PhD in Computational Biology or related quantitative field.
• 7+ years in computational biology or bioinformatics with genomics focus.
• Experience leading scientific teams and mentoring staff.
• Proficiency with Python, R and C/C++ for data analysis.
• Strong skills in statistical modeling, ML and data mining.

Responsibilities

• Lead design and optimization of computational pipelines for genomic data.
• Develop algorithms to identify genetic variants and expression patterns.
• Mentor a team of computational biologists and collaborate with researchers.
• Integrate computational insights with experimental validation and clinical context.
• Oversee large genomic datasets, ensuring reproducibility and storage efficiency.
• Present findings at conferences and publish in high-impact journals.
• Guide infrastructure choices for software, data management and computing.

Skills

Python

R

C/C++

Machine Learning

Genomics

NGS data analysis

Leadership

Data mining

Education

PhD in Computational Biology

Quantitative field

Tools

Bioinformatics tools

HPC / Cloud (AWS/GCP)

Job description

Placements24 in London is seeking a Lead Computational Biologist to direct advanced computational methods for large-scale genomic datasets and drive drug discovery programs.

You will mentor a team of computational biologists, collaborate with clinicians and lab scientists, and shape the research strategy for cutting-edge genomics projects. The role emphasizes HPC/cloud computing and publication in top journals.