Jobs in the United States

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Added 4 mins ago
RVP Strategic Sales - Chicago
Shippeo
Chicago, IL
Added 8 mins ago
Director, Analytical Technical Operations
ModernaTX, Inc.
Norwood, MA
Added 11 mins ago
Enterprise Agile Lead
CGI
Fairfax, VA
The Enterprise Agile Lead establishes and coaches the Agile operating model across PIEE product teams, aligning Government priorities, delivery cadence, cross team dependencies, and…
Added 13 mins ago
Senior Manager of Finance
eJam
Santa Ana, CA
6 months: the analysts run on one planning model and cadence, forecast accuracy is tracked and improving, no lender deliverable has been missed, and the business runs against a budget it…
Added 13 mins ago
Product Sourcing Engineer (Electronic Focused)
Anduril Industries
Costa Mesa, CA
…technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are…
Added 13 mins ago
Product Sourcing Engineer (Batteries/Energy/Etc..)
Anduril Industries
Costa Mesa, CA
…technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are…
Added 27 mins ago
J
Senior Product Manager
Jobgether
Remote, United States
- $170,000 to $200,000 USD / year
Added 36 mins ago
Managed Services - Integrated Risk Management (Archer) - Senior Analyst
EY
McLean, VA · Los Angeles, CA · Cincinnati, OH · Dallas, TX · Chicago, IL · San Francisco, CA · Philadelphia, PA · Austin, TX · New York, NY · San Antonio, TX · San Diego, CA · Boston, MA · Baton Rouge, LA · Cleveland, OH · Atlanta, GA
Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course…
Added 58 mins ago
J
Software Engineer II - Cloud-Native Agent Harness (Mecatl)
Jobgether
Remote, United States
- $157,500 to $192,500 USD / year
…work across backend systems, Kubernetes-native infrastructure, developer tools, APIs, and security frameworks. The position offers significant technical ownership, allowing you to drive…
Added 58 mins ago
AI Research Engineer (Agentic Reinforcement Learning)
Jobgether
Remote, United States
Through rigorous experimentation and benchmarking, you will push the boundaries of model performance, efficiency, and generalization.
Added 1 hour ago
EG
Senior Director of Finance
Eliassen Group
Pierre, SD
- $85 to $95 USD / hour
Added 1 hour ago
EG
Senior Director of Finance
Eliassen Group
Cheyenne, WY
- $85 to $95 USD / hour
Added 1 hour ago
F
Immigration Specialist [Contract]
Fireworks
San Mateo, CA
- $30 to $40 USD / hour
- Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Added 1 hour ago
C
AI-Augmented Data Analyst
Cognizant
Helena, MT
- $115,000 to $135,000 USD / year
Added 1 hour ago
EG
Senior Director of Finance
Eliassen Group
Helena, MT
- $85 to $95 USD / hour
Added 1 hour ago
Forward Deployment (FD) Agentic Solutions Consultant - Sales
Jobgether
Remote, United States
Hands-on understanding of large language model (LLM) systems, including agent workflow design, Retrieval-Augmented Generation (RAG), prompt engineering, schema design, and evaluation.
Added 1 hour ago
Bank Credit Risk Analyst Lead - Retail Banking
USAA Federal Savings Bank
Charlotte, NC
May have model ownership responsibilities and drive accountability for quantitative model requirement definition and/or implementation of advanced credit and/or financial modeling…
Added 1 hour ago
Architect, Software Development
Zscaler
Santa Clara, CA
Learn more about Zscaler's hybrid working model and benefits here.
Added 1 hour ago
F
People Partner, Engineering & Product
Fireworks
San Mateo, CA
- $200,000 to $220,000 USD / year
- Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Added 2 hours ago
Staff Software Engineer - Builder Platform
Jobgether
Remote, United States
…through AI-powered agents, automated workflows, and advanced developer tools. You will own the architecture, development, and operation of agent platforms and AI infrastructure, ensuring…
Added 2 hours ago
Senior Staff Software Engineer - Builder Platform
Jobgether
Remote, United States
…internal platform focused on AI agents, automated workflows, and developer productivity. You will lead strategic initiatives spanning AI infrastructure, platform engineering, developer…
Added 2 hours ago
Senior Product Test Engineer, Intel Systems Manufacturing
Anduril Industries
Santa Ana, CA
…technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are…
Added 2 hours ago
Product Test Engineer, Intel Systems Manufacturing
Anduril Industries
Santa Ana, CA
…technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are…
Added 2 hours ago
Sr. Paralegal - AZ - Office of the General Counsel
Midwestern University
Glendale, AZ
Assessing AI model responses, identifying errors, accuracy in order to maintain quality control.
Added 2 hours ago
A
MarTech Data Architect
Accenture
Scottsdale, AZ
- $132,500 to $302,400 USD / year
…using AI to accelerate discovery, map B2B user journeys, and model ROI before recommending solutions. Lead implementation of cloud migrations and Adobe technology (AEM, AEM Assets, AEP)…

GlaxoSmithKline LLC

Principal Scientist, Predictive Sciences

King of Prussia, PA, United States

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Job details

Posting language: English
Posted: Oct 21, 2026

Original job description

We are building the next generation of biologics CMC with a rapid, efficient, and predict-first mindset. As a Principal Scientist in the Predictive Sciences group within our new CMC Digital and Knowledge Management department, you will sit at the intersection of late-phase CMC process development and design of cutting-edge digital tools, predictive solutions, and artificial intelligence that accelerate how we bring medicines from bench to patient. Biologics CMC is undergoing a fundamental shift, moving away from empirical and experiment-heavy development towards a predict-first, digitally augmented, and model-informed development. You will help define what that shift looks like, building tools and ways of working that will have an impact on the entirety of portfolio and shape how we develop medicines. You will be an AI-native builder who takes mechanistic, hybrid and data-driven models from prototype to production. This role will deploy models through machine learning workflows and agentic AI systems that actively drive development decisions across upstream and downstream unit operations for biologics process development across our fed-batch, intensified fed-batch and continuous perfusion platforms. Strong modelling expertise is required and expected; equal weight is placed on the ability to ship those models into a form scientists can run independently, through deployment, product build and model lifecycle management. This role will also impact tech transfer, scale-up and commercialization of processes, and requires a proven ability to drive digital transformation principles across the business, with the agility to lead change. This role sits within Predictive Sciences, in the CMC Digital & Knowledge Management department, reporting to the Team Lead for LM Drug Substance Development modelling. You will work in close partnership with process development, analytical development, and manufacturing science teams, and collaborate with the broader GSK digital science and data communities to share platforms, capabilities, and best practices. As a Principal Scientist you are an individual contributor with high scientific autonomy. You are expected to influence the direction of digital CMC through the quality of your technical contributions and the trust you build with scientific partners. This role will provide you the opportunity to lead key activities to progress your career, these responsibilities include some of the following: Modeling & Simulation 1. Build and deploy advanced process models: mechanistic, hybrid, and data-driven across upstream cell culture, chromatography, filtration, and formulation, including digital twins and PAT chemometric models for current and evolving continuous perfusion and capture platforms. Leverage engineering, biological, chemical, or materials science knowledge to postulate mechanisms for bioprocess behavior and develop or modify existing mathematical models to describe those mechanisms 2. Drive model-informed process development and characterization as an embedded matrix team member, using MBDoE and model-based risk assessments to define critical process parameters, design space, in-silico experimentation, reduce wet-lab cycle, accelerate process understanding, platform fit, and model-based monitoring and process control strategies. 3. Translate science into software by converting mathematical models into working computational tools via platforms (gPROMS, SIMCA, JMP) or custom code (Python, MATLAB), and ensure models are validated to meet GSK internal compliance and regulatory requirements. 4. Champion adoption of digitally redesigned CMC workflows across the Drug Development and Supply organization, supporting the CMC portfolio through GSK enterprise-wide digital transformation principles, enhancing digital fluency, and embedding modelling as a central pillar of process development and tech transfers. Given our high ambition for predict-first, very model is expected by default to transfer into use by the functions - in this case Large Molecule Drug Substance development - with a clear, credible path to routine use by function scientists - including documentation and reference to operating procedures - so that running the model does not depend on us. 5. Build and sustain the modeling ecosystem - not just individual models, but the shared infrastructure, tools and ways of working that keep them versioned, monitored and reliable over time. Align your work with this ecosystem so that what you build fits into it and strengthens it for others. Embed data integrity principles through model, data, and results, along with the requirements of quality, safety, and policies and procedures, and ensure that GSK intellectual property is protected. 6. Stay at the forefront of the field through publications, conferences, and academic collaborations, bringing new techniques into the organization to continuously raise the bar on what's possible. Leverage pre-competitive alliances and external expertise to advance capabilities. 7. Communicate and collaborate broadly - present results to CMC teams and senior leadership, and foster strong working relationships across R&D, pilot plants, and the commercial supply chain. Agentic AI based CMC Workflows 1. Design and build agentic AI systems that autonomously parse historical CMC data, propose experimental designs and strategies, call specific models, and surface actionable recommendations to lab scientists and decision makers. 2. Integrate large language models and AI agents into CMC workflows - from literature mining and predictive intelligence to process insights, accelerated progress, and single cycle development. 3. Develop AI-driven risk assessment and criticality ranking tools to support process characterization and control strategy definition. Data & Platform 1. Work closely with laboratory informatics, data engineering, and tech platform teams to ensure data-linked digital solutions from electronic lab notebooks, process historians, and analytical instruments. 2. Champion FAIR data principles and structured data capture practices across CMC development teams. 3. Contribute to shared modelling infrastructure, reusable components, and validated computational workflows. Scientific Partnership 1. Embed as a trusted scientific partner within CMC teams - translating biological and process complexity into computable problems and translating model outputs back into practical development decisions. 2. Present modelling results and AI-derived insights to senior stakeholders, regulatory teams, and cross-functional partners. 3. Author or co-author technical reports, model qualification packages, and regulatory submission sections as needed. Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: PhD (or Master's with 2 years of industry experience) in data science, computational science, AI/ML, chemical engineering, biochemical engineering, computational biology, or a closely related field. Experience building predictive mo

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