7 Research And Development jobs in Cambridgeshire

Product Development Manager - Neurotechnology

Newton Colmore is working with a growing medical devices company in Cambridge and we are assisting them in their search for a product development manager.

This is a key role for the company, as they look to add more structure to their design team, and you will be leading development projects on technology that aims to interact with the nervous system to diagnose, monitor, and treat hard-to-treat conditions.

As well as managing projects, and a team, you will also be manging internal and external stakeholders to ensure projects are on time and within budget. You will also have responsibility for mentoring the next generation of engineers and scientists working on your team and help shape future development pipelines.

There will also be some commercial aspects to the role, collaborating with suppliers, distributors and people that will need to understand the capabilities of the technology.

This is an exciting time to join this company and so to be considered for this opportunity go ahead and make an application. One of our team will then be in touch with you to discuss it further, confidentially.

To be considered for this exciting role we are looking for candidates with the following;

• Experience with leading product development projects.
• This will ideally be within a medical technology setting
• Strong academics and fundamentals.
• A strong interest in working on highly complex technology.

Get in touch to explore this opportunity in more detail. The company put together bespoke salary packages and offer comprehensive benefits including share options and bonuses.

Newton Colmore is a leading recruitment consultancy that is dedicated to the medical devices and life sciences sectors. NC has been operating within these fields since 2015 and have placed hundreds of engineers and scientists into exciting companies and positions.

We are on the cusp of a new frontier in which machine learning and artificial intelligence are transforming scientific discovery. We seek to drive major advances in sciences with machine learning, with a focus on u2018fifth paradigmu2019 scenarios. Through these advances, we aim to empower real-world impact on some of the most pressing problems facing society including climate change, green energy, sustainable materials, and the discovery of new drugs.



AI for Science is a new global team in Microsoft Research focusing on the opportunity to transform scientific modelling and discovery through large-scale deep learning. We aim to advance this frontier and to drive real-world impact at a global scale. The AI for Science team encompasses multiple disciplines across machine learning, engineering, and the natural sciences and spans several sites in Europe.



The field of machine learning has evolved significantly in recent years, with many of the most impactful contributions coming from larger teams of people collaborating closely on well-defined and challenging goals. Furthermore, AI for Science in particular requires a combination of machine learning, engineering, and natural sciences, which again emphasises the importance of collaboration and teamwork.



We are seeking a highly motivated and experienced Sr RSDE with expertise in machine learning and distributed systems. The ideal candidate will have a deep understanding of machine learning and be proficient in the design, planning, and implementation of tools and technology to support AI-driven scientific research.



**Responsibilities**


Architect, design, and implement scalable and robust solutions for machine learning and scientific research involving large volumes of heterogeneous data.
Build and optimize distributed data processing and model building pipelines.
Develop and maintain tools and technologies for building, training, optimizing, scaling machine learning solutions.
Collaborate with cross-functional teams, including scientists, researchers, and software engineers.
Document and share best practices across the organization.
Maintain the highest standards in code quality and software design.



**Qualifications**



Required:


Master's degree or equivalent work experience in Computer Science, Physics, Engineering, Chemistry, Mathematics or a related field.
Strong familiarity with Linux and the open-source ecosystem.
Proficient experience working with machine learning and large datasets.
In-depth understanding of open source machine learning frameworks (e.g., PyTorch, ggml, llama.cpp, vllm).
Experience building complex systems on the cloud.
Experience building and optimizing distributed systems and large-data applications, including those using tensor accelerators or GPUs.
Strong analytical, problem-solving, and communication skills.
Passionate about pushing the boundaries of science. Prior experience developing high-performance scientific software is not required, but preferred.



#Research #AI for Science



Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

We are on the cusp of a new frontier in which machine learning and artificial intelligence are transforming scientific discovery. We seek to drive major advances in sciences with machine learning, with a focus on u2018fifth paradigmu2019 scenarios. Through these advances, we aim to empower real-world impact on some of the most pressing problems facing society including climate change, green energy, sustainable materials, and the discovery of new drugs.



AI for Science is a new global team in Microsoft Research focusing on the opportunity to transform scientific modelling and discovery through large-scale deep learning. We aim to advance this frontier and to drive real-world impact at a global scale. The AI for Science team encompasses multiple disciplines across machine learning, engineering, and the natural sciences and spans several sites in Europe.



The field of machine learning has evolved significantly in recent years, with many of the most impactful contributions coming from larger teams of people collaborating closely on well-defined and challenging goals. Furthermore, AI for Science in particular requires a combination of machine learning, engineering, and natural sciences, which again emphasises the importance of collaboration and teamwork.



We are seeking a highly motivated and experienced Sr RSDE with expertise in machine learning and distributed systems. The ideal candidate will have a deep understanding of machine learning and be proficient in the design, planning, and implementation of tools and technology to support AI-driven scientific research.



**Responsibilities**


Architect, design, and implement scalable and robust solutions for machine learning and scientific research involving large volumes of heterogeneous data.
Build and optimize distributed data processing and model building pipelines.
Develop and maintain tools and technologies for building, training, optimizing, scaling machine learning solutions.
Collaborate with cross-functional teams, including scientists, researchers, and software engineers.
Document and share best practices across the organization.
Maintain the highest standards in code quality and software design.



**Qualifications**



Required:


Master's degree or equivalent work experience in Computer Science, Physics, Engineering, Chemistry, Mathematics or a related field.
Strong familiarity with Linux and the open-source ecosystem.
Proficient experience working with machine learning and large datasets.
In-depth understanding of open source machine learning frameworks (e.g., PyTorch, ggml, llama.cpp, vllm).
Experience building complex systems on the cloud.
Experience building and optimizing distributed systems and large-data applications, including those using tensor accelerators or GPUs.
Strong analytical, problem-solving, and communication skills.
Passionate about pushing the boundaries of science. Prior experience developing high-performance scientific software is not required, but preferred.



#Research #AI for Science



Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

We are on the cusp of a new frontier in which machine learning and artificial intelligence are transforming scientific discovery. We seek to drive major advances in sciences with machine learning, with a focus on 'fifth paradigm' scenarios. Through these advances, we aim to empower real-world impact on some of the most pressing problems facing society including climate change, green energy, sustainable materials, and the discovery of new drugs.
AI for Science is a new global team in Microsoft Research focusing on the opportunity to transform scientific modelling and discovery through large-scale deep learning. We aim to advance this frontier and to drive real-world impact at a global scale. The AI for Science team encompasses multiple disciplines across machine learning, engineering, and the natural sciences and spans several sites in Europe.
The field of machine learning has evolved significantly in recent years, with many of the most impactful contributions coming from larger teams of people collaborating closely on well-defined and challenging goals. Furthermore, AI for Science in particular requires a combination of machine learning, engineering, and natural sciences, which again emphasises the importance of collaboration and teamwork.
We are seeking a highly motivated and experienced Sr RSDE with expertise in machine learning and distributed systems. The ideal candidate will have a deep understanding of machine learning and be proficient in the design, planning, and implementation of tools and technology to support AI-driven scientific research.
**Responsibilities**
+ Architect, design, and implement scalable and robust solutions for machine learning and scientific research involving large volumes of heterogeneous data.
+ Build and optimize distributed data processing and model building pipelines.
+ Develop and maintain tools and technologies for building, training, optimizing, scaling machine learning solutions.
+ Collaborate with cross-functional teams, including scientists, researchers, and software engineers.
+ Document and share best practices across the organization.
+ Maintain the highest standards in code quality and software design.
**Qualifications**
Required:
+ Master's degree or equivalent work experience in Computer Science, Physics, Engineering, Chemistry, Mathematics or a related field.
+ Strong familiarity with Linux and the open-source ecosystem.
+ Proficient experience working with machine learning and large datasets.
+ In-depth understanding of open source machine learning frameworks (e.g., PyTorch, ggml, llama.cpp, vllm).
+ Experience building complex systems on the cloud.
+ Experience building and optimizing distributed systems and large-data applications, including those using tensor accelerators or GPUs.
+ Strong analytical, problem-solving, and communication skills.
+ Passionate about pushing the boundaries of science. Prior experience developing high-performance scientific software is not required, but preferred.
#Research #AI for Science
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

**Join Us on Our Mission to Drive Healthcare Forward**
As a Clinical Research Associate at IQVIA, you'll play a vital role in advancing clinical research and improving patient outcomes. We're expanding our Site Management team and looking for passionate CRAs who are ready to make a difference. This role offers a mix of on-site and remote monitoring, supporting work-life balance while contributing to cutting-edge clinical trials.
**Why IQVIA?**
+ IQVIA is recognized as #1 in its category on the 2025 Fortune® World's Most Admired Companies list for the FOURTH consecutive year!
+ We offer genuine career development opportunities for those who want to grow as part of the organization.
+ The chance to work on cutting edge medicines at the forefront of new medicines development.
+ IQVIA has access to significant data pools allowing better site selection and recruitment. This helps drive performance of sites making the CRA role more efficient and discussions at site more productive. Next generation clinical development!
**Responsibilities**
+ Perform site monitoring visits (selection, initiation, monitoring and close-out visits) in accordance with contracted scope of work and regulatory requirements, i.e., Good Clinical Practice (GCP) and International Conference on Harmonization (ICH) guidelines
+ Work with sites to adapt, drive, and track subject recruitment plan in line with project needs to enhance predictability
+ Administer protocol and related study training to assigned sites and establish regular lines of communication with sites to manage ongoing project expectations and issues
+ Evaluate the quality and integrity of study site practices related to the proper conduct of the protocol and adherence to applicable regulations. Escalate quality issues as appropriate
+ Manage the progress of assigned studies by tracking regulatory submissions and approvals, recruitment and enrollment, case report form (CRF) completion and submission, and data query generation and resolution. May support start-up phase
+ Ensure copies/originals (as required) site documents are available for filing in the Trial Master File (TMF) and verify that the Investigator's Site File (ISF) is maintained in accordance with GCP and local regulatory requirements
+ Create and maintain appropriate documentation regarding site management, monitoring visit findings and action plans by submitting regular visit reports, generating follow-up letters and other required study documentation
+ Collaborate and liaise with study team members for project execution support as appropriate
**Profile**
+ Over 2 years of independent on-site monitoring experience, ensuring compliance with GCP, protocol requirements, and regulatory guidelines.
+ You have successfully managed multiple clinical trial protocols across diverse investigative sites.
+ Hands-on experience in the Oncology therapeutic area.
+ Flexibility and commitment to nationwide travel
** This role is not eligible for UK Visa Sponsorship**
#LI-AdamThompson
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.
To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
EEO Minorities/Females/Protected Veterans/Disabled

Nuclera is a venture-backed biotech company headquartered in Cambridge, UK with significant operations in Boston, USA. Nuclera’s mission is to accelerate discovery by enabling rapid, easy access to functional proteins essential for drug discovery research. Our eProtein Discovery™ benchtop system accelerates protein expression and purification optimization in research labs.

This is a lab-based role within a group central to Nuclera’s technology development program that will be conducted in close collaboration with colleagues from other groups in the company. A key aspect of this role will be to contribute to the customer collaborations and marketing collateral through demonstration of new capabilities of our platform.

The role would suit a candidate with excellent communication and organization skills, with a drive for working in a fast-paced biotech environment and a track record of execution and teamwork. Experience in molecular biology, protein expression and characterisation is essential. 

This role will be based in the Cambridge, UK site and is on-site in the lab with some flexibility for home working (up to 1 day per week). 

About the role

• Follow SOPs to independently execute and analyze experiments on the eProtein Discovery System to contribute to customer collaborations.
• Design, execute, and troubleshoot protein activity assays with guidance from senior members of the group.
• Work on multiple protein projects in parallel.
• Actively engage in scientific discussion within the group and across groups to contribute to robust product development.
• Report results in a timely manner and maintain good laboratory practices.

Requirements

Essential:

• BS/MSc in protein biophysics, biochemistry, molecular biology or a related area, with 2-4 years’ (for BS) and 1 years’ (for MSc) industry experience
• Track record of delivering robust data and high-quality results within tight timelines
• Experience with common molecular biology techniques, including PCR and agarose gel electrophoresis
• Experience with common protein expression and purification techniques, including affinity purification, SDS-PAGE gel electrophoresis, protein quantification
• A collaborative team player with a positive can-do attitude
• Strong problem solving capabilities, clear communication and presentation skills
• Self-motivated interest in Nuclera’s technology.

Desirable:

• Previous working experience in the pharmaceutical, CRO, and/or biotechnology industry would be advantageous.
• Understanding the principles of cell-free protein synthesis technologies
• Experience in protein engineering and structure-guided design of protein variants for stability, activity, or yield.
• Some knowledge of protein assays, characterisation and functional properties (e.g. solubility, aggregation properties, activity)

Benefits

What we offer:

In addition to competitive salaries, we offer a range of benefits including:

• Company bonus scheme of 5%

• Share option incentive scheme 
• Life insurance 
• Private medical insurance and cash plan 
• 25 days' annual leave + Bank Holidays 
• Enhanced employer's pension contributions 
• Enhanced maternity and paternity Leave 
• Investment in professional development and learning 
• Fresh fruit, tea, coffee, and snacks in the office 
• Organised summer events for staff