Scientific Leader, Discovery Integration Sciences

GSK; Collegeville (PA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

GSK in Pennsylvania is seeking a Scientific Leader to drive Discovery Integration Sciences. You will lead cross-disciplinary teams to design, deploy and operate LIAL Systems that fuse computational intelligence with automated lab workflows.

The role advances GSK’s data-driven discovery platform, enabling adaptive learning cycles and rapid scientific progress. A PhD or equivalent with 5+ years leading matrix teams and strong Python/cloud skills is required.

Qualifications

• PhD or MS with 3+ years in a scientific discipline with a significant computational component.
• At least 5 years leading matrix teams across scientific and technical disciplines delivering software integrating wet/dry lab capabilities.
• 5+ years programming in Python and/or R with modern software development tools (Git, CI/CD).
• ≥3 years cloud experience (GCP/AWS/Azure/Kubernetes) for data workflow automation and lab automation.

Responsibilities

• Collaboratively develop and deploy LIAL Systems with scientists and tech teams across R&D to redesign experimental processes for LIAL enablement.
• Translate scientific requirements into system designs and platform capabilities for enabling science.
• Lead cross-functional matrix teams, mentoring and supporting colleagues.
• Apply new tools and data sources to accelerate autonomous science using AI and agents.
• Prepare clear presentations and reports for project teams and decision-making forums.

Skills

Artificial Intelligence

Computational Sciences

Computer Programming

Data Analysis

Data Management

Data Modeling

Data Science

Predictive Modeling

Statistical Models

Education

PhD or MS +3 years experience in a relevant scientific discipline with computational component

Tools

Git/GitHub

Kubernetes

Nextflow

Airflow

Cloud platforms (GCP/AWS/Azure)

Job description

Business Introduction

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. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease together.

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. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease together.

Description

For UK candidates seeking to be located at our Stevenage site, this role will temporarily be based at Stevenage. However, the Company plans to relocate its offices to Cambridge and Ware. The location of this role will therefore subsequently change to Cambridge or Ware in accordance with timelines to be set by the Company. The relocation is currently proposed to take effect by early 2029.

Job Title

Scientific Leader, Discovery Integration Sciences

Job Purpose

Do you share a desire to advance scientific knowledge and capitalise on the revolution in data, automation and predictive sciences to deliver measurable impacts on the success and progression of GSK’s medicine discovery portfolio? The Data, Automation and Predictive Sciences (DAPS) function of GSK Research Technologies focuses on large-scale data generation, curation, analysis and prediction to deliver higher PTRS (Probability of Technical and Regulatory Success) assets and unlock upper quartile ambitions. Within DAPS, the Discovery Integration Sciences team is driving efforts across Research to build the world’s most efficient and effective biopharma discovery platform at GSK by building and deploying innovative Lab-in-an-Automated-Loop (LIAL) Systems that integrate computational intelligence with physical laboratory experimentation in adaptive learning cycles. Each LIAL System will deliver a domain leading scientific discovery solution that leverages and extends state-of-the-art scientific methods by engineering technologies to create integrated discovery systems that empower GSK research scientists with the latest tools. LIAL Systems will therefore be physical instantiations of GSK’s mission to unite science, technology and talent to get ahead of disease together.

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.

Preferred Qualifications

• Proven track record of designing, developing and deploying complex scientific software solutions with clear impact.
• Strong leadership skills demonstrated by leading projects, influencing decisions and communicating with multidisciplinary teams and senior stakeholders in a cross-functional setting.
• Demonstrated learning agility (e.g. working across modality or domains) and scientific curiosity while maintaining focus on driving impact in the face of ambiguity.
• Experience mentoring or line-managing early-career scientists with a demonstrated focus on driving performance, skills, capability and career development to grow and improve the team.

Work Arrangements

The role is hybrid, requiring on-site 2-3 days per week. Remote or fully home-working arrangements are not available for this role.

Skills

Artificial Intelligence (AI), Computational Sciences, Computer Programming, Data Analysis, Data Management, Data Modeling, Data Science, Predictive Modeling, Statistical Models

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at - [e-mail].

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/