Senior Bioinformatics Engineer, R&D at Lonza
Cambridge, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

02 Jul, 25

Salary

0.0

Posted On

02 Apr, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Creativity, Machine Learning, Life Sciences, Consideration, Color

Industry

Information Technology/IT

Description

SENIOR BIOINFORMATICS ENGINEER

Location: Cambridge
Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there’s no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that’s the kind of work we want to be part of.
The Senior Bioinformatics Engineer will be responsible for developing efficient and high quality bioinformatic pipelines and data science software supporting the design, data processing, analysis, and reporting across Lonza R&D departments. They will be placed in the Bioinformatics & Data Science group and closely work with multi-disciplinary teams of bioinformaticians, lab scientists, biochemists and bioprocess engineers.
The Senior Bioinformatics Engineer will further drive and implement innovative solutions enhancing Lonza’s capabilities in data science and statistics, with the goal to improve biomanufacturing of Biologics molecules. The role is also expected to manage collaborations and act as mentor for more junior team members.

bioinformatics and statistical capabilities.

  • Manages internal and external collaborations with academic an
Responsibilities
  • Develop and maintain bioinformatic pipelines to facilitate complex data

analysis and integration.

  • Supports onboarding and development of data analysis tools used by

multidisciplinary teams across Lonza.

  • Drives digital innovation in biomanufacturing by enhancing data science,

bioinformatics and statistical capabilities.

  • Manages internal and external collaborations with academic and

commercial partners.

  • Leads, mentors and trains junior team members.
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