Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Scientist

1925 GlaxoSmithKline LLC
Stevenage
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Scientist/Principal Scientist, Machine Learning

Senior Data Scientist

Data Scientist | Python | SQL | Statistics | Machine Learning | Hybrid, Oxford

Data Scientist

Data Scientist

Data Scientist

Preferred site locations:Upper Merion, Stevenage, or Upper Providence. On-site presence of 2-3 days per week required.

Are you energized by a highly collaborative scientific role in analytical chemistry platforms that allows you to accelerate scientific and R&D delivery? If so, this role could be an ideal opportunity to explore.

The Digital Analytical Platforms team within Analytical Development is responsible for innovations to assess and when warranted implement platforms that enhance analytical chemistry through digitization and efficiency gains. The primary purpose of this collaborative role is to improve and leverage the fleet of open-access non-GMP chromatography platforms to accelerate discovery and development across a diverse and global user group. These open-access instruments are integral to our license to operate, and support most of our potential medicines. 


As a Senior Scientist in Digital Analytical Platforms, you will propose and deliver near term tactical solutions and contribute to long term strategic solutions. You will use quantitative and/or qualitative data and analysis using chromatagraphy instruments and methods, and systems engineering to advance platform technologies. In addition, you will enable a high standard of data integrity and technical efficiency applied towards scientific methodology.

This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:
 

Contribute to the design and independent execution of root cause analysis and experiments based on interpretation of results

Maintain a scientifically current to state-of-the-art chromatography systems

Provide attention to data quality, integrity and archiving for own work

Propose, and with support implement, new research directions and innovative strategies to achieve project, platform, and department goals

Perform complex data management and data interpretation tasks/analyses

Identify bottlenecks, and systematically evaluate and assess root causes of errors in the laboratory, differentiating with rigor between inefficiencies arising from human, software, hardware, firmware, and/or chemical sources.

Deliver automated and/or digital solutions to reduce or eliminate common failure modes

Design and interpret complex experiments and data management activities, and make recommendations on how these could be best leveraged

Make effective decisions to achieve desired outcomes of project team through technical or scientific interpretation of results

Maintain and grow our support network with partner departments

Contribute to a collaboration with Agilent to deliver improvements as required

Develop networking skills with internal and external stakeholders and experts in specific scientific disciplines

Identify new scientific and or engineering opportunities, which may include analytical data pipeline and visualization projects that support the discovery and development of candidate medicines.

Adhere to safety, regulatory and compliance standards within the department

Contribute to peer-review of others’ work

As situationally warranted, contribute as co-author to scientific papers

Seek peer challenge and review of scientific ideas and experimental design

Prepare detailed oral or written reports of results in the context of strategic fit, feasibility and rationale for projects

Present at internal Research and Development forums and external meetings subject to budget availability

After doing so jointly with peers, begin to independently prepare and communicate conclusions and recommendations for next steps

Demonstrate networking skills through interactions across departments and divisions

Lead small projects/project sub teams to achieve technical or business outcomes

Active and influential scientific participant in at least one project/program

Update supervisor and matrix leaders to inform progress and activities

Anticipate problems and proactively seek input from other teams/divisions within Research and Development

Use scientific and or engineering technical expertise to solve project related problems of colleagues and of other projects

Basic Qualifications:


M.S. degree or comparable industrial experience in one or more of the following areas:

Preferred: chemistry (analytical, organic, biochemistry), engineering (chemistry, systems, data, computer, software, industrial, materials), data science or engineering, computer science
Considered: chemistry (inorganic, forensic, physical, environmental), engineering (mechanical, biomedical, environmental)

Proven track record of solving complex problems

Experience analyzing data

Strong communication

Learning agility


Preferred Qualifications:

Basic knowledge of regulatory requirements and drug development process

Scientific laboratory experience

Chromatography experience (HPLC, GC, LC/MS)

Data visualization expertise (Spotfire or other)

Project matrix-environment experience

Ability to influence others

Coding (Python, C#, R, VBA or demonstrated learning agility to develop these skills, and/or experience working in GitHub)

Non-GMP and or GMP systems

Risk assessment and or management

#LI-GSK

Please visit 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 special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.

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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.