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About This Role
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.
Find out more:
Our approach to R&D
Position Summary
In this critical leadership role, the VP Global Regulatory Strategy RI&I will oversee regulatory strategy globally for the RI&I portfolio, including the associated communication strategy to all regulatory authorities. Moreover, the VP will act as a direct link between Regulatory Affairs and all RI&I R&D stakeholders and provide the regulatory input to Governance decisions for clinical/project regulatory matters. They will also serve as a senior leader and the responsible head who ensures appropriate regulatory compliance in the conduct of global development programs and product lifecycle maintenance and license to operate activities for the RI&I portfolio. This role will be a member of the Global Regulatory Strategy LT as well as leading the GRS RI&I team of approximately 60 FTEs.
Key Responsibilities
- Directly accountable for global regulatory development and filings for the RI&I portfolio of products.
- Ensures that sound regulatory practices are fully integrated into pre-clinical, clinical and technical submissions, and that all documents submitted to regulatory agencies are appropriately reviewed to ascertain they are complete, scientifically accurate, of high quality, in regulatory compliance and presented in a manner that facilitates agency review.
- Contributes to the creation and implementation of development plans that incorporate regulatory strategies designed to maximise the likelihood of successful regulatory applications, delivering regulatory approval, key labeling claims and reimbursement for all key indications.
- Exhibits leadership in the formulation and execution of global regulatory strategies and contributes to the development and implementation of policies and strategies for optimisation of development, lifecycle maintenance and license to operate.
- Monitors and anticipates regulatory, scientific and pertinent legal issues and assesses potential impact on GSK; advises senior management on events of significance to GSK’s business interests; proactively influences changes in guidelines and regulation to strengthen the regulatory review process and ensure core operations are proactively aligned with emerging policies.
- Develops and maintains excellent working relationships with FDA, EMA, PMDA and CFDA and other key international regulatory agencies, overseeing the planning and implementation of agency meetings, as appropriate; assuring collaborative approaches to product development and clinical plans with agencies via scientific advice and protocol assessment procedures.
- Provides leadership to assure appropriate regulatory compliance in the conduct and reporting of clinical trials, institutionalise policies and procedures and track performance.
- Attracts, develops and retains key regulatory professionals, recognised for their strategic focus and regulatory and scientific acumen in alignment with the principles of Project First, Expert Led, and Tech Enabled.
- Represents Global Regulatory Affairs for RI&I on senior level decision making bodies.
- Acts as a credible, influential, respected spokesperson during interactions with international regulatory agencies and external organisations, and ensures appropriate, proactive communication with agencies to assure expedient and efficient review and approval of submissions.
- Serves as an external proactive industry leader and influential spokesperson in support of GSK enterprise priorities and regulatory initiatives, and in shaping the external environment.
- Serves as the senior regulatory input to RI&I R&D stakeholders and senior level governance boards.
Drives the GSK innovation culture including proactive individual and team adoption of the importance of digitalisation in development and regulatory decision making.
Why You?
Basic Qualification
We are seeking professionals with the following required skills and qualifications to help us achieve our goals
- Bachelors degree in Pharmacology, Immunology, Biology
- Experience leading the development of regulatory strategy within development programs; Experience working in early phase and late phase development projects as well as life-cycle
- People management and project leadership skills
- Regulatory affairs/product development experience of which a significant part has been in a senior role
Experience of collaboration with the FDA/EMEA/significant agencies and evidence of success in gaining product approvals and defending established products
Preferred Qualification
If you have the following characteristics, it would be a plus
- PhD or MD
- Ability to interact to affect direction and decision making within development programs
- Ability to multi task and excel in cross functional settings and to manage multiple projects in a fast-paced environment
- Gravitas to negotiate within a highly matrixed environment to deliver complex messages and facilitate appropriate team decisions
- Ability to provide operational oversight and support project teams in strategic decisions and guide them through diverse and conflicting regulatory requirements
- Ability to assess situations, organizations and processes to identify opportunities for improvement and simplification and then to plan and articulate solutions (with appropriate team and stakeholder support)
- Experience of presenting to senior levels with good influencing skills to ensure that the GRA voice is clearly articulated and heard in both internal and external audiences
- Ability to read, analyze and interpret complex regulatory documents and to respond effectively to sensitive inquiries or complaints
- Demonstrated strategic capability, ability to see the overall ‘big’ picture; Insightful and forward thinking, ability to recognize, anticipate and review/discuss potential regulatory challenges with teams, and present management with recommendations that reflect full consideration of available options
- Evidence of proactive leadership to identify issues and mitigation strategies, maximize opportunities, with proven ability to develop collaborative relationships and have high impact and influence.
- Ability to work with remote teams/individuals and manage these teams through influencing skills while exhibiting sensitivity to and an understanding of different working styles
- Advanced knowledge of drug development process and laws and regulations affecting the pharmaceutical industry in key jurisdictions, particularly US and European regulations
- Strategic and enterprise thinker – ability to connect different elements together.
- Culturally aware and experience in working with varying cultures and in matrix team environment.
Recognized excellent communication skills, both oral and written.
Location and Working Model
This role is based in the United States. It is a hybrid role, requiring regular on-site collaboration and travel to other sites and external meetings as needed.
What we value
We look for people who are collaborative, curious and accountable. We want leaders who coach and make decisions with clarity. We value inclusion and respectful teamwork. We offer meaningful work that directly contributes to improving patient outcomes and advancing science.
Ready to apply?
If you are excited by this opportunity and meet the requirements, we encourage you to apply. Please submit your CV and a short cover letter describing how your experience and leadership style align with the role. We look forward to hearing from you.
- 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 $315,750 to $526,250. 

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.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at HR.AmericasSC-CS@gsk.com where you can also request a call.
Please note should your inquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive
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/
Salary Context
This $315K-$526K range is above the 75th percentile for AI/ML Engineer roles in our dataset (median: $170K across 217 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 37,339 AI roles we're tracking, AI/ML Engineer positions make up 91% of the market. At GSK, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills Required
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $154,000 based on 8,743 positions with disclosed compensation. This role's midpoint ($421K) sits 173% above the category median. Disclosed range: $315K to $526K.
Across all AI roles, the market median is $190,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $300,688. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Safety ($274,200). By seniority level: Entry: $85,000; Mid: $147,000; Senior: $225,000; Director: $230,600; VP: $248,357.
GSK AI Hiring
GSK has 3 open AI roles right now. They're hiring across AI/ML Engineer. Positions span Cambridge, MA, US, Collegeville, PA, US, Upper Providence, PA, US. Compensation range: $526K - $526K.
Location Context
Across all AI roles, 7% (2,732 positions) offer remote work, while 34,484 require on-site attendance. Top AI hiring metros: New York (1,633 roles, $204,100 median); Los Angeles (1,356 roles, $179,440 median); San Francisco (1,230 roles, $240,000 median).
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 37,339 open positions tracked in our dataset. By seniority: 3,672 entry-level, 23,272 mid-level, 7,048 senior, and 3,347 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (2,732 positions). The remaining 34,484 roles require on-site or hybrid attendance.
The market median for AI roles is $190,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $300,688. Highest-paying categories: AI Engineering Manager ($293,500 median, 21 roles); AI Safety ($274,200 median, 24 roles); Research Engineer ($260,000 median, 264 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 37,339 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (33,926), AI Software Engineer (823), AI Product Manager (805). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (3,672) are outnumbered by mid-level (23,272) and senior (7,048) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 3,347 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (2,732 positions), with 34,484 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $190,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $300,688. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $145,600. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Rag (23,721 postings), Aws (12,486 postings), Rust (10,785 postings), Python (5,564 postings), Azure (3,616 postings), Gcp (3,032 postings), Prompt Engineering (2,112 postings), Kubernetes (1,713 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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