Scientific Leader, AI-Driven Discovery Platforms

GSK; Stevenage; Ibrido; GBP 90.000 - 120.000; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid work arrangement

Relocation assistance

Descrizione del lavoro

GSK is seeking a Scientific Leader to drive the Discovery Integration Sciences program at our Stevenage site, overseeing the design, delivery and operation of the System-of-LIAL-Systems that power our Research activities.

You will lead cross-functional teams, translate science into platform capabilities, and apply new methods to accelerate automated experimentation and data-driven discovery in a hybrid work arrangement.

Competenze

• Doctoral degree (PhD or equivalent) or MS +3 years professional experience in a relevant scientific discipline with a significant computational component.
• Minimum of 5 years professional experience working in and leading matrix teams across scientific and technical disciplines to deliver software projects integrating wet lab and dry lab capabilities.
• Minimum of 5 years of experience programming and software engineering using Python (preferred) and/or R.
• Experience with modern software development tools / ways of working (e.g. object-oriented programming, git/GitHub, CI/CD).
• Minimum of 3 years of experience using cloud technologies (e.g. GCP, AWS, Azure, Kubernetes) to build and deploy data workflow automation and/or integrated("lab-in-the-loop") solutions.

Mansioni

• Collaboratively and iteratively develop and deploy LIAL Systems by partnering with scientists and technical teams across R&D and Tech to (re)design experimental processes for LIAL enablement and implement as integrated systems.
• Translate scientific requirements into system designs and enabling platform capabilities and conversely articulate platform capabilities as system enablers of improvements to scientific processes.
• Foster inclusive high-quality scientific and technical collaboration by working within and leading cross-functional matrix teams which mentoring and supporting others.
• Introduce and apply new methods, tools, and data sources to drive innovation and continuously improve the speed, quality, and predictability of autonomous science using AI and Agents.
• Prepare clear presentations and reports for project teams and decision-making forums.

Conoscenze

Python

R

Git/GitHub

CI/CD

Cloud (GCP/AWS/Azure)

Kubernetes

Formazione

PhD or MS +3 years experience

Strumenti

Nextflow

Airflow

Descrizione del lavoro

GSK is seeking a Scientific Leader to drive the Discovery Integration Sciences program at our Stevenage site, overseeing the design, delivery and operation of the System-of-LIAL-Systems that power our Research activities.

You will lead cross-functional teams, translate science into platform capabilities, and apply new methods to accelerate automated experimentation and data-driven discovery in a hybrid work arrangement.