CI/CD
Github
MLflow
Biology
AutoGen
Research
Genomics
LangChain
Langgraph
Pipelines
Management
Kubernetes
Statistics
TensorFlow
Ethical AI
Caregiving
Agentic AI
Code Review
AI Literacy
Data Science
Communication
Life Sciences
Biotechnology
Deep Learning
Drug Discovery
Job Evaluation
Bioinformatics
Responsible AI
Pharmaceuticals
Version Control
Microsoft Azure
Decision Making
Experimentation
Computer Vision
Knowledge Graph
Computer Science
Causal Inference
Machine Learning
Containerization
Model Validation
Docker (Software)
Business Problems
Edge Intelligence
Knowledge Transfer
Business Priorities
Amazon Web Services
Predictive Modeling
Feature Engineering
Multi-Agent Systems
Software Engineering
Cloud Infrastructure
Unsupervised Learning
Computational Biology
NumPy (Python Package)
Open Source Technology
Intelligent Automation
Artificial Intelligence
Pandas (Python Package)
Stakeholder Requirements
Applied Machine Learning
Ribonucleic Acid Sequencing
Git (Version Control System)
Python (Programming Language)
Ethical Standards And Conduct
Medical History Documentation
Scikit-Learn (Python Package)
PyTorch (Machine Learning Library)
MLOps (Machine Learning Operations)
Application Programming Interface (API)
Applications Of Artificial Intelligence
Machine Learning Model Monitoring And Evaluation
At least 2 years
$136,125 - $226,875 / yr
Posted 3 days ago
This role is STARs-friendly: Skilled Through Alternative Routes.
35% STARs in role.
Description:
Please note that this is a 'internal job posting' link, intended for GSK/ViiV employees only. Contingent Workers should check with the recruiter of the Job Requisition to confirm whether the job is open to contingent workers and to obtain the correct job posting hyperlink.
Please note it is your responsibility to notify your manager if you are interested in applying to an open position prior to the interview taking place. Please refer to your local policy for more information and guidelines.
At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state-of-the-art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients-at reduced cost and with fewer side effects.
The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML-related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting-edge AI research into real scientific and business impact
About the Role:
As an Applied AI Engineer, you will be embedded within cross-functional teams to deliver practical, high-impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI-powered tools that accelerate drug discovery, improve decision-making, and enable responsible use of AI across the enterprise.
This role is hands-on and consultative in equal measure. You will evaluate use-case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved.
Key Responsibilities:
Advisory & Solution Design
Basic Qualifications:
#GSKAIML
Skills
Artificial Intelligence (AI), Artificial Intelligence Ethics, Artificial Neural Networks (ANNS), Classification Models, Deep Learning, Intelligent Automation (IA), Machine Learning (ML), Model Evaluation, Model Validation, Predictive Modeling, Probabilistic Modeling, Python (Programming Language), Test Documentation
• 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 $136,125 to $226,875. 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.
If you require an accommodation or other assistance to apply for a job at GSK/ViiV Healthcare, please submit a request to HR via the Service Portal
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.
This Position Description is to provide a framework for job understanding between employee and manager. It may not cover or contain the full listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice and at the discretion of the management of the Company. The position description is not used in the assignment or assessment of any GSK level or grade used in the Job Evaluation Process.
Compensation Grade:
7
Job Posting End Date:
Not Available
Eligible for Employee Referral Bonus:
Yes
Please note it is your responsibility to notify your manager if you are interested in applying to an open position prior to the interview taking place. Please refer to your local policy for more information and guidelines.
At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state-of-the-art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients-at reduced cost and with fewer side effects.
The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML-related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting-edge AI research into real scientific and business impact
About the Role:
As an Applied AI Engineer, you will be embedded within cross-functional teams to deliver practical, high-impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI-powered tools that accelerate drug discovery, improve decision-making, and enable responsible use of AI across the enterprise.
This role is hands-on and consultative in equal measure. You will evaluate use-case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved.
Key Responsibilities:
Advisory & Solution Design
- Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts.
- Co-design prototypes and proof-of-concepts (PoCs) with product and domain teams to validate ideas quickly and de-risk larger investments.
- Translate complex stakeholder requirements into well-scoped technical solutions with clear success criteria and handover plans.
- Build, train, evaluate, and iterate on ML models for real-world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling.
- Package trained models into production-ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure).
- Develop and maintain agentic AI systems, multi-agent architectures, and LLM-based tools where appropriate.
- Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks.
- Embed privacy, ethics, and regulatory considerations into every engagement from the outset.
- Run workshops, seminars, and hands-on training sessions to increase AI literacy across the organization.
- Embed within business/research units for time-limited engagements (typically 6-8 weeks) to accelerate delivery and transfer skills.
- Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads.
Basic Qualifications:
- Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer.
- 2+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD.
- Expertise in Python, including ML/data science libraries (PyTorch, TensorFlow, JAX, scikit-learn, pandas, numpy).
- Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes).
- Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking.
- Experience working in cross-functional teams and communicating technical concepts to non-technical stakeholders.
- Experience working in healthcare, pharma, or biological domains.
- Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis.
- Hands-on experience building LLM-based applications, agentic AI systems, RAG pipelines, or multi-agent architectures (e.g., LangChain, LangGraph, AutoGen).
- Experience with knowledge graph construction, causal inference, or large perturbation models.
- Familiarity with single-cell RNA-seq, spatial transcriptomics, CRISPR assay data, or other high-dimensional biological datasets.
- Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows.
- Contributions to open-source ML/AI projects or peer-reviewed publications in applied ML.
- Background or demonstrated interest in responsible AI, AI ethics, or model governance.
- Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation.
- Experience evaluating and integrating third-party AI/ML vendor tools and platforms.
#GSKAIML
Skills
Artificial Intelligence (AI), Artificial Intelligence Ethics, Artificial Neural Networks (ANNS), Classification Models, Deep Learning, Intelligent Automation (IA), Machine Learning (ML), Model Evaluation, Model Validation, Predictive Modeling, Probabilistic Modeling, Python (Programming Language), Test Documentation
• 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 $136,125 to $226,875. 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.
If you require an accommodation or other assistance to apply for a job at GSK/ViiV Healthcare, please submit a request to HR via the Service Portal
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.
This Position Description is to provide a framework for job understanding between employee and manager. It may not cover or contain the full listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice and at the discretion of the management of the Company. The position description is not used in the assignment or assessment of any GSK level or grade used in the Job Evaluation Process.
Compensation Grade:
7
Job Posting End Date:
Not Available
Eligible for Employee Referral Bonus:
Yes
Posting ID: 436766_crt:1787309705317