Scientific Leader, Discovery Integration Sciences

GSK plc; Pennsylvania; Hybrid; USD 158,000 - 263,000; Full time

Benefits offered by this job

Annual bonus

Long-term incentive program

Health care

Retirement benefits

Paid holidays

Vacation

Parental leave

Medical leave

Job summary

GSK plc seeks a Scientific Leader, Discovery Integration Sciences to drive integration of experimental platforms and AI-enabled workflows. The role combines cross‑functional leadership with advanced computational methods to accelerate medicine discovery.

The position is hybrid with 2–3 days on site and requires a PhD or equivalent with strong programming and cloud experience. Relocation timelines project Cambridge/Ware by early 2029.

Qualifications

• PhD or MS with 3+ years in a relevant science field with computational focus.
• 5+ years leading matrix cross-disciplinary teams on software projects.
• 5+ years Python and/or R programming.
• Experience with cloud tech (GCP, AWS, Azure, Kubernetes) for data workflows and lab automation.

Responsibilities

• Develop and deploy LIAL Systems with scientists and tech teams.
• Translate scientific requirements into system designs and enable platform capabilities.
• Lead cross-functional matrix teams and mentor others.
• Apply new tools and data sources to accelerate autonomous science using AI.
• Prepare presentations for project teams and decision forums.

Skills

Artificial Intelligence

Computational Sciences

Computer Programming

Data Analysis

Data Management

Data Modeling

Data Science

Predictive Modeling

Statistical Models

Education

Doctoral degree (PhD or equivalent)

MS + 3 years professional experience

Tools

Python

R

Git/GitHub

CI/CD

GCP

AWS

Azure

Kubernetes

Nextflow

Airflow

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.

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?

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

If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $157,575 to $262,625. The US salary ranges take into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. 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. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

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.

Accommodation and Contact

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].

Equal Opportunity Employer

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.