Description
At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people’s lives.
As a Scientific Leader in the Discovery Integration Sciences team, you will work and lead across scientific and technical disciplines in cross-functional teams designing, delivering and operating the System-of-LIAL-Systems that will power GSK’s Research activities and the underlying LIAL Platform that provides the abstracted blueprint and technical services for building and operating LIAL Systems at scale.
Key Responsibilities:
- 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.
Basic Qualifications:
- 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 in a continuously evolving landscape.
- 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 (e.g. Nextflow, Airflow), digital lab automation (e.g. orchestration, scheduling) and/or integrated (“lab-in-the-loop”) solutions.
Benefits: The role offers a competitive salary, annual bonus, and eligibility to participate in our share-based long-term incentive program. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.