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Senior Bioinformatics Engineer - Pipeline Automation & Tool Development

Lonza

England

On-site

GBP 45,000 - 65,000

Full time

30+ days ago

Job summary

A leading company in life sciences seeks a Senior Bioinformatics Engineer to develop and maintain bioinformatics pipelines and data science software. This role involves collaborating with multidisciplinary teams, driving innovative solutions, and mentoring junior members. Ideal candidates should have relevant experience in bioinformatics and be proficient in tools like Nextflow, Docker, Git, R, or Python.

Qualifications

  • PhD with at least 2 years or MSc with 5+ years of experience.
  • Hands-on experience in developing Nextflow pipelines.
  • Proficient in Docker, Git, UNIX command line, R or Python.

Responsibilities

  • Develop and maintain bioinformatics pipelines for data analysis.
  • Support onboarding and development of data analysis tools.
  • Drive digital innovation in biomanufacturing.

Skills

Nextflow
Docker
Git
UNIX command line
R
Python
Data analysis
Organizational skills
Problem-solving
Communication

Education

PhD or MSc in bioinformatics, computational biology, or related fields

Job description

Senior Bioinformatics Engineer - Pipeline Automation & Tool Development

Location: Cambridge

Lonza is a global leader in life sciences operating across five continents. Our success is driven by talented people working together to devise innovative ideas that help businesses and improve lives. We value our employees' careers and encourage ideas big and small that genuinely make a difference.

The Senior Bioinformatics Engineer - Pipeline Automation & Tool Development will develop efficient, high-quality bioinformatics pipelines and data science software to support design, data processing, analysis, and reporting within Lonza's R&D departments. This role is part of the Bioinformatics & Data Science group, collaborating closely with multidisciplinary teams including bioinformaticians, lab scientists, biochemists, and bioprocess engineers.

The position also involves driving innovative solutions to enhance Lonza's data science and statistical capabilities, aiming to improve biomanufacturing of biologics. Additionally, the role includes managing collaborations and mentoring junior team members.

What you'll do:
  1. Develop and maintain bioinformatics pipelines for complex data analysis and integration.
  2. Support onboarding and development of data analysis tools used by multidisciplinary teams.
  3. Drive digital innovation in biomanufacturing through enhanced data science, bioinformatics, and statistical methods.
  4. Manage collaborations with academic and commercial partners.
  5. Lead, mentor, and train junior team members.
What we're looking for:
  1. PhD with at least 2 years of industry experience or MSc with 5+ years of relevant experience in bioinformatics, computational biology, or related fields.
  2. Hands-on experience developing and implementing Nextflow pipelines in production.
  3. Proficiency with Docker, Git, UNIX command line, R or Python, and testing frameworks.
  4. At least 2 years experience developing GUI-based bioinformatics tools for experimental design and analysis.
  5. Ability to communicate complex bioinformatics concepts effectively to stakeholders and multidisciplinary teams.
  6. Expertise in analyzing and interpreting omics and biological datasets using statistical and visualization techniques.
  7. Strong organizational skills, including time management and prioritization.
  8. Attention to detail and problem-solving skills.

At Lonza, we are committed to ethical practices and environmental responsibility. We offer a challenging environment for solving complex problems and developing innovative ideas in life sciences, with the satisfaction of making a meaningful impact worldwide.

Lonza is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, or any other protected characteristic.

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