# Scientific Leader, Discovery Integration Sciences

**Company**: GSK
**Location**: Stevenage
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $157,575 to $262,625
**Category**: Data Science
**Industry**: Healthcare

**Apply**: https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/USA---Pennsylvania---Upper-Providence/Scientific-Leader--Discovery-Integration-Sciences_445900-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_82f4d544-65c

## 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.

## Skills

### Required
- Artificial Intelligence (AI)
- Computational Sciences
- Computer Programming
- Data Analysis
- Data Management
- Data Modeling
- Data Science
- Predictive Modeling
- Statistical Models
- Python
- R
- GCP
- AWS
- Azure
- Kubernetes
- Nextflow
- Airflow

### Nice to have
- Proven track record of designing, developing and deploying complex scientific software solutions with clear impact
- Strong leadership skills
- Demonstrated learning agility
- Experience mentoring or line-managing early-career scientists

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