Jobs in the United States

25+ jobs

Save this search

Added just now
Engineer, Software Engineering
Flagship Pioneering, Inc.
Cambridge, MA
FL103 is seeking an Engineer, Software Development to help design and evolve our biological research platform. The successful candidate will work with the computational modeling and…
Added just now
E2E Connected Services Test Engineer
Stellantis
Auburn Hills, MI
The responsibilities of the E2E Connected Vehicle - Validation Engineer, include but are not limited to the following:
Added 1 min ago
RU
Seniro Azure Infrastructure Engineer
Randstad USA
Charlotte, NC
- $65 to $76 USD / hour
You will work closely with platform leads, security officers, and application teams to translate architectural patterns into reliable, production-hardened infrastructure while embedding…
Added 1 min ago
RU
Data Engineer
Randstad USA
Smithfield, RI
- $69 to $70 USD / hour
- Familiarity with Go (Golang) for backend or data platform development.
Added 1 min ago
A
Senior Technical Consultant - Forward Deployed Engineer, AI Security
AHEAD
Remote, United States
- $170,000 to $200,000 USD / year
The Senior Technical Consultant (Forward Deployed Engineer) for AI Security is a senior, customer-facing technical engineer responsible for deploying, integrating, and operationalizing AI…
Added 1 min ago
Senior Network Software Engineer
Leidos
Scott Air Force Base, IL
…(GSMO-II) contract has an opening for a Senior Network Software Engineer located in the Scott AFB, IL area. The Senior Network Software Engineer will support the development and release of…
Added 1 min ago
L
Legal Engineer
Lawhive
AZ · Austin, TX · New York City, NY
- £190,000 to £270,000 GBP / year
We partner with leading Main Street law firms to give lawyers and back-office teams the AI platform, marketing, and operational support to grow faster than they could alone. Our specialized…
Added 2 mins ago
Software Engineering & AI Intern
Leidos
Scott Air Force Base, IL
…mission-critical scale. You will work with high-volume data, engineer real-time pipelines using technologies such as Kafka and Elastic, and apply predictive machine learning and generative…
Added 2 mins ago
Data Engineer
UL, LLC
Northbrook, IL
Collaborate with business users, data owners, data stewards, architects, security teams, and platform engineers.
Added 3 mins ago
Connected Worker Engineer - Decatur, IL
ADM
Decatur, IL
The Connected Worker Engineer serves as the Connected Worker technical partner to ADM manufacturing sites, bridging frontline operations and digital technology to improve safety,…
Added 3 mins ago
AI Deployment Strategist
Zoom
Springfield, IL
…shape how Zoom’s conversational AI reaches the field, bridging platform innovation with live production deployments. If you are energized by the challenge of making advanced AI work in the…
Added 3 mins ago
Sr. Software Engineer, MarTech (Remote)
CrowdStrike
Springfield, IL
…redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is…
Added 3 mins ago
SOLUTION ENGINEER
Lumen
Springfield, IL
…design and architect solutions utilizing our technology services platform. The successful Solution Engineer must have a strong desire to leverage their technical and sales skills, including…
Added 3 mins ago
Capital One Shopping Tech, Data Engineer 5 (Remote- Eligible)
Capital One
Springfield, IL
…independently driving critical architectural decisions and evaluating platform choices, such as Snowflake versus Databricks, based on technical and business…
Added 3 mins ago
C
Senior Knowledge Graph & Ontology Architect
Cognizant
Springfield, IL
- $130,000 to $160,000 USD / year
Partner with engineering, AI, and platform teams to establish governance controls, security standards, lineage frameworks, and AI architecture guardrails that ensure trustworthy and…
Added 3 mins ago
C
GCP data Engineer
Cognizant
Springfield, IL
- $100,000 to $120,000 USD / year
Cognizant is seeking an experienced Knowledge Graph Data Engineer to build and operate the connectivity, profiling, and graph/search foundation that powers enterprise ontology and knowledge…
Added 3 mins ago
Senior Workday Security Engineer
CVS Health
Springfield, IL
CVS Health is seeking an experienced Senior Workday Security Engineer to join the HR Technology Workday Security team. This role designs, supports, governs, and optimizes security across…
Added 3 mins ago
Gemini Enterprise for CX Sr. Engineer
Accenture
Chicago, IL
A hands-on Senior Engineer with strong experience in Google’s Gemini Enterprise for Customer Experience (GECX) Solutions - now building deep expertise in Google Cloud Platform (GCP). You…
Added 3 mins ago
Staff Full-Stack Engineer (Director IC) - Digital Payments
Capital One
Chicago, IL · Riverwoods, IL
As a Staff Engineer at Capital One, you will be part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of…
Added 3 mins ago
A
Google Data Specialist
Accenture
Chicago, IL
- $70,350 to $196,000 USD / year
…(AGBG), we deliver solutions leveraging Google Cloud’s Data & AI platform - including BigQuery, Looker, Vertex AI, Gemini Foundation Models, and Gemini…
Added 3 mins ago
A
Google Senior Data Engineer
Accenture
Chicago, IL
- $94,400 to $266,300 USD / year
A hands-on Engineer with foundational experience in Data Engineering, Analytics, or Machine Learning - now building deep expertise in Google Cloud Platform (GCP). You are eager to apply…
Added 3 mins ago
Integration Engineer 4 (Oracle DBA) (RAC, DataGuard, GoldenGate) (Cloud Operations Resilience Engineering)
Capital One
Chicago, IL · Riverwoods, IL
…with emerging technologies to join our team. As an Integration Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital…
Added 3 mins ago
NetIQ Identity Manager (IDM) Operations Engineer
Apex Systems
CHICAGO, IL
Added 3 mins ago
Sr. Software Engineer (C++, CI/CD, Data Structures, Algorithms, OOD) Hybrid Chicago ONLY
FactSet Research Systems
Chicago, IL
Added 3 mins ago
Senior Engineer - AI Voice Agents
Apex Systems
CHICAGO, IL

AstraZeneca

AI Engineer – Discovery

Cambridge, MA, United States
Cambridge, United States

$124,000 to $187,000 USD / year

Apply About employer

Applications open in a new tab.

Job details

Pay: $124,000 to $187,000 USD / year
Apply by: May 9, 2027
Experience: At least 5 years' experience developing AI/ML solutions in biological, biomedical, or R&D environments.
Posting language: English
Posted: Nov 10, 2026

Original job description

Are you ready to dive into the world of transformative therapies and make a significant impact? At EsoBiotec, now part of AstraZeneca, we are setting new benchmarks for biotechnological research. Our collaboration combines AstraZeneca’s global influence and scientific innovation with EsoBiotec’s unique culture of creativity and breakthroughs in cell-based therapies and immunology. Here, your scientific passion will drive real-world impact as you contribute to life-changing treatments.

We are seeking a cross-disciplinary AI Engineer to support a highly wet-lab-focused discovery research team working at the forefront of CAR-T, in vivo lentiviral delivery, and oncology. This role will help accelerate research by applying AI, machine learning, and data-centric engineering to experimental workflows, biological data, and decision-making across early discovery and platform development. The position is designed for someone who can work effectively at the interface of experimental science and computational innovation. The successful candidate will partner closely with bench scientists to understand biological questions, experimental systems, and data-generation challenges, and then translate those into practical computational approaches that improve insight generation, prioritization, and research efficiency.

As a Cross-Disciplinary AI Engineer, you will work alongside researchers developing next-generation approaches in cell therapy, gene delivery, and oncology discovery. Much of the team’s work is rooted in screening, vector design, cellular profiling, functional assays, and iterative platform optimization. Your role will be to identify where AI and advanced analytics can have real impact, build fit-for-purpose models and tools, and help create stronger connections between experimental output and computational decision support. This is not a role focused primarily on medicinal chemistry or small-molecule discovery. Instead, it centers on the biological and translational challenges associated with engineered cell therapies, viral delivery systems, and the interpretation of complex experimental datasets in oncology-relevant systems.

Key Responsibilities

Partner with experimental scientists working in CAR-T, lentiviral delivery, cell engineering, and oncology discovery to understand key scientific questions, assay workflows, and experimental decision points.
Translate wet-lab problems into AI and data science opportunities, such as construct prioritization, delivery optimization, cell-state characterization, image-based phenotyping, multimodal data integration, or prediction of experimental outcomes.
Build, adapt, and apply AI/ML models to support discovery activities, including predictive models, classification models, clustering approaches, representation learning, computer vision pipelines, or LLM-enabled knowledge workflows where appropriate.
Work across diverse biological datasets, such as flow cytometry, single-cell and bulk omics, imaging, functional assay readouts, vector characterization data, metadata, and experimental annotations.
Develop data pipelines and analytical frameworks that improve data quality, accessibility, interoperability, and reuse across experimental programs.
Create practical tools and visualizations that enable bench scientists to explore data, compare constructs or conditions, and make more informed decisions about what to test next.
Collaborate cross-functionally with biologists, immunologists, gene therapy scientists, bioinformaticians, data scientists, and software/informatics partners.
Evaluate and communicate model performance with attention to biological validity, robustness, interpretability, and limitations in real experimental settings.
Help establish best practices for reproducible, responsible, and scientifically grounded AI use in discovery research.
Monitor emerging methods in AI, computational biology, and multimodal learning, and identify opportunities to apply them meaningfully in CAR-T and in vivo delivery research.

Required Qualifications

Bachelor’s in computer science, machine learning, computational biology, bioinformatics, biomedical engineering, systems biology, applied mathematics, or a related field.
At least 5 years' experience developing AI/ML solutions in biological, biomedical, or R&D environments.
Strong programming skills in Python and experience with relevant data science and machine learning frameworks.
Experience working with complex experimental datasets and building practical analyses or tools that support scientific decision-making.
Ability to work effectively with wet-lab researchers and communicate clearly across computational and experimental disciplines.
Experience handling ambiguity and translating open-ended scientific questions into structured computational approaches.
Strong grounding in data quality, model evaluation, reproducibility, and analytical rigor.

Preferred Qualifications

Advanced degree preferred (Master’s, or PhD)
Experience in one or more of the following areas: cell therapy, CAR-T, gene therapy, viral vector biology, lentiviral systems, immuno-oncology, or functional genomics.
Familiarity with biological data modalities relevant to this space, including flow cytometry, single-cell RNA-seq, multimodal omics, imaging, perturbation datasets, and high-dimensional assay data.
Experience with multimodal learning, representation learning, scientific image analysis, active learning, Bayesian optimization, LLM-enabled scientific workflows, or knowledge graph approaches.
Understanding of the practical realities of discovery-stage wet-lab research, including assay variability, small and noisy datasets, metadata challenges, and iterative hypothesis testing.
Experience developing user-facing tools, dashboards, or decision-support applications for scientific teams.
Familiarity with cloud, data engineering, or production-oriented workflows for research computing environments.

The annual base pay for this position ranges from $124K to $187K. Our positions offer eligibility for various incentives - an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.

Date Posted 10-Nov-2026 Closing Date 24-Nov-2026Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

Apply About employer

More about this job

Skills

Research
Decision making
Prioritization
ML
Computer science
Machine learning
Biomedical engineering
Python
Data engineering
Sales

Report this job