Field applications scientist Work, Jobs in Cambridge, Eng (with Salaries)

Researcher & Modeling Scientist
TaiSan —Cambridge
- £45,000 - £60,000 a year
- Full-time
- Doctoral degree
- Analysis skills
- Communication skills
- Annual leave
- Employee assistance programme
Quick apply
Senior Investigator Scientist | PNAC | Dr Felix Randow | LMB 2392
UK Research and Innovation (UKRI) —Cambridge
- Full-time
- Doctoral degree
- Mentoring
- Leadership
11d
Research Scientist – Quantum Information Theory (Implementation Security)
Toshiba EMEA —Cambridge
- Doctoral degree
- Engineering
Distinguished ML Data Scientist
Aveva —Cambridge
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
- Annual leave
Applied Scientist, Edge AI and Science
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
8h
Scientific Workflow & AI Content Intern
BIOVIA —Cambridge
- Hybrid work
- Machine learning
- Scripting
- APIs
- Flexible schedule
Marine Sites Science Officer
BirdLife International —Cambridge
- £32,000 - £35,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- University
- Travel
- Annual leave
- Employee assistance programme
6d
Clinical Site Technical Support Associate
Qureight Ltd —Cambridge
- Full-time
- Hybrid work
- Machine learning
- IT
- Annual leave
- Life insurance
Quick apply
Computational Biologist
Cyted Health —Cambridge
- £45,000 - £60,000 a year
- Full-time
- Doctoral degree
- Master's degree
- University
- Life insurance
Research Science PhD Internship Opportunities - Coding Agents
Microsoft —Cambridge
- Doctoral degree
- Computer Science
- Master's degree
SRA, Histology
Flagship Pioneering, Inc. —Cambridge
- Laboratory experience
- Master's degree
- Bachelor's degree
Quick apply
4d
Senior Scientist ETCT
GlaxoSmithKline —Stevenage
- Full-time
- Hybrid work
- Data analysis skills
- Laboratory experience
- Bachelor's degree
Applied Scientist, AGI Information
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
Product Data Specialist
Abcam —Cambridge
- Full-time
- Microsoft Excel
- Oracle
- Laboratory experience
- Annual leave
10d
Medical Device Regulatory and Quality Consultant
PA Consulting —Melbourn
- Full-time
- Annual leave
Quick apply
Quantum Error Correction Researcher (AMO)
Riverlane —Cambridge
- £60,000 - £85,000 a year
- Part-time
- Doctoral degree
- Computer Science
- C++
- Annual leave
- Life insurance
Quick apply
11d
Chief Architect for Developer Tools - 802
Quantinuum —Cambridge
- Full-time
- Computer Science
- Master's degree
- C++
- Annual leave
Senior Manager, Programs Group - 751
Quantinuum —Cambridge
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
- Annual leave
Full Stack Software Engineer
Neutreeno —Cambridge
- £45,000 - £65,000 a year
- Full-time
- Hybrid work
- Computer Science
- AWS
- Bachelor's degree
- Annual leave
Quick apply
Head of Programme Management
Qureight Ltd —Cambridge
- Full-time
- Hybrid work
- Machine learning
- AI
- Communication skills
- Annual leave
- Life insurance
Quick apply
14d

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field applications scientist jobs near cambridge, eng

Researcher & Modeling Scientist

TaiSan
Cambridge

Quick apply

Job details

Full-time
£45,000 - £60,000 a year

Benefits

Annual leave
Company pension
Employee assistance programme
Employee discount

Qualifications

Doctoral degree
Analysis skills
Physics
Communication skills

Full job description

About the Role
TaiSan is developing next-generation polymer electrolyte to enable Sodium Batteries 2.0 — higher energy density, safer and scalable. We are looking to recruit a Researcher & Modeling Scientist to accelerate our R&D roadmap across Gen 1–3 systems through advanced research synthesis, computational modeling, and cross-functional innovation strategy.
In this role, you will bridge scientific literature, computational modeling, and real-world battery validation to guide electrolyte and cell innovation. You will work directly with the CEO and Technical Director to evaluate next-generation materials, model new recipes, and ensure proposals are technically sound, cost-aware, sustainable, and implementation-ready. Your work will directly impact TaiSan’s technology roadmap and speed of development.
Key Responsibilities
Research & Innovation Strategy

Continuously review and analyze 10–20 scientific papers per week across polymers, electrolytes, anodes, cathodes, degradation, and manufacturing.
Maintain structured, categorized literature databases (electrolyte, electrodes, polymers, interfaces, etc.).
Conduct weekly technical brainstorming sessions with the CEO and Technical Director.
Propose improvements to current Gen 1–3 systems based on scientific evidence.
Evaluate next-generation cell concepts and identify feasible implementation pathways.
Assess every innovation proposal through the lens of cost, sustainability, manufacturability, and timeline.
Prepare structured innovation proposals and present them to the wider team when aligned.
Separate innovation opportunities by component (electrolyte, electrodes, interfaces, manufacturing).
Prepare technical documentation and structured input for patent filings.

Modeling & Simulation

Conduct Density Functional Theory (DFT) and Molecular Dynamics (MD) simulations.
Work closely with simulation tools and partners.
Develop and manage timelines for modeling activities aligned with R&D priorities.
Model new material recipes and systems for Gen 1–3 development roadmap.
Ensure simulation inputs reflect real lab conditions and validated parameters.
When data is unavailable internally, derive parameter ranges from literature and clearly communicate uncertainty.
Communicate modeling inputs and outputs clearly to the wider technical team.
Analyze experimental data using OriginLab (or equivalent) with rigorous documentation.
Support AI-driven material screening initiatives and polymer design strategies.

R&D Acceleration Focus Areas

Energy density optimization
Degradation and lifetime modeling
Battery mass production modeling considerations
Life Cycle Assessment (LCA) analytics
AI-based material screening and polymer discovery
Translating modeling insights into experimentally testable hypotheses

Presentations & Communication

Prepare internal technical slides for brainstorming and decision-making.
Contribute to investor-facing technical materials.
Clearly communicate assumptions, modeling ranges, and uncertainties.
Maintain highly structured and accurate documentation.

Requirements
Required Qualifications

PhD in Materials Science, Chemistry, Physics, Chemical Engineering, or related field.
5+ published peer-reviewed research papers.
Strong experience with DFT and Molecular Dynamics simulations.
Experience using modeling tools such as COMSOL and materials simulation platforms.
Strong analytical rigor and ability to validate models against experimental data.
Excellent communication skills — both written and verbal.
Extremely high attention to accuracy and structured documentation.

Preferred Qualifications

Experience in battery materials modeling (electrolytes, interphases, degradation).
Experience in polymer chemistry or polymer electrolyte systems.
Exposure to AI-based materials discovery.
Familiarity with LCA and sustainability modeling.
Experience contributing to patent applications.
Comfortable working in an early-stage, high-ownership deep-tech startup environment.

Who You Are

You are an independent, rigorous scientist who takes full ownership of your analytical work from experimental design to final reporting.
You are comfortable operating autonomously and building structure where it does not yet exist. You do not wait for detailed instructions. You identify gaps, define testing standards, and proactively improve analytical workflows.
You think critically about reproducibility, scalability, and long-term product impact. You understand that data quality directly influences material decisions and manufacturing readiness.
You are disciplined in documentation, precise in execution, and uncompromising in safety standards.
You thrive in a fast-moving environment where your work directly shapes material development and commercialization strategy.

Benefits

Competitive salary and equity compensation commensurate with experience.
Inclusive and mission-driven work environment.20 days annual leave plus public holidays.
Company pension scheme
Employee Assistance Programme offering confidential counselling and personal support services.
Access to an online wellbeing tool for fast, confidential wellbeing guidance.
Bright Exchange employee benefits platform providing discounts and exclusive offers across a wide range of products and services.
Support with visa activities.

Quick apply

Refine Your Search

field applications scientist jobs in cambridge, eng

Researcher & Modeling Scientist

Senior Investigator Scientist | PNAC | Dr Felix Randow | LMB 2392

Research Scientist – Quantum Information Theory (Implementation Security)

Distinguished ML Data Scientist

Applied Scientist, Edge AI and Science

Scientific Workflow & AI Content Intern

Marine Sites Science Officer

Clinical Site Technical Support Associate

Computational Biologist

Research Science PhD Internship Opportunities - Coding Agents

SRA, Histology

Senior Scientist ETCT

Applied Scientist, AGI Information

Product Data Specialist

Medical Device Regulatory and Quality Consultant

Quantum Error Correction Researcher (AMO)

Chief Architect for Developer Tools - 802

Senior Manager, Programs Group - 751

Full Stack Software Engineer

Head of Programme Management

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