Job Title: Biology Teacher (KS3 - KS5) North London
Salary/Rate: Competitive Day Rates
Contract: Temporary / Supply / Block Bookings Available
About the Role:
Are you a qualified or experienced Biology Teacher looking for flexible supply work or a guaranteed long-term block booking? We are actively building our North London talent pool to support local school's and Multi-Academy Trusts (MATs) under the DfE-approved RM6376 framework.
We have immediate requirements for subject specialists capable of delivering engaging lessons across Key Stage 3, 4 or 5 to join our books for upcoming short-term and long-term placements.
What You Will Do:
- Deliver high-quality, curriculum-compliant Biology lessons to pupils across Key Stage 3, 4 or 5.
- Maintain a positive, productive learning environment using proactive behaviour management.
- Map student progress and provide constructive feedback (for long-term placements).
Why Register with a Framework Agency?
- Direct Path to Permanent Jobs: Under RM6376 framework rules, if a school falls in love with your teaching, they can transition you to a permanent contract completely fee-free after 12 weeks (with notice).
- Transparent Framework Pay: We operate under strict compliance metrics, ensuring fair, reliable payroll structures.
- Streamlined Onboarding: Work across multiple top-tier MATs in North London using a single compliance file.
Requirements:
- Relevant degree or teaching credential in Biology or a related discipline (QTS/ECTs welcome).
- Proven experience delivering the UK curriculum at Key Stage 3, 4 or 5.
- A valid Enhanced DBS check registered on the Update Service (or willingness to apply for one).....Read more...
Senior Systems Engineer – Biotech Platform Development - Cambridge
A cutting-edge biotech company, based in Cambridge, are currently recruiting for a Senior Systems Engineer who will play a pivotal role in the development and delivery of next-generation medical diagnostics and biomanufacturing platforms. This is an opportunity to take technical ownership of complex, multidisciplinary systems and contribute to the translation of breakthrough IP into scalable, regulated products.
You’ll be working across engineering and R&D teams to support the design, integration, and commercialisation of semiconductor-based and biocomputing technologies. Your role will span product architecture, documentation to ISO 13485 standards, and hands-on delivery of systems that combine hardware, software, and biology. You’ll collaborate with internal stakeholders and external partners to align technical execution with broader programme goals.
We’re looking for someone with experience in systems engineering, product development, or technical project delivery within biotech, diagnostics, or medical devices. You’ll bring a solid understanding of regulated product development, and ideally some exposure to startup environments, IP creation, or cross-functional team collaboration. A background in mechanical, biomedical, or electronic engineering would be ideal.
In return, you will receive a competitive salary, annual bonus, private healthcare, generous pension contributions, and access to a wide range of lifestyle and professional development benefits.
This is a chance to join a company that values innovation, technical depth, and collaborative culture. You’ll be supported by experienced leaders and given space to grow into broader responsibilities as the company scales.
To learn more, contact Andrew Welsh, Director of Medical Devices, Biotech and Drug Discovery Recruitment at Newton Colmore, on +44 121 268 2240. Alternatively, submit your CV and a member of our team will be in touch.
....Read more...
Science Teacher – SupplyLocation: Tunbridge Wells and surrounding areasPay: £130–£180 per day for daily cover | Pay to scale for long-term rolesJob Type: Supply – Full-time or Part-timeStart Date: September 2026Science Teacher – Supply & Long-Term OpportunitiesAre you a Science Teacher looking for greater flexibility from September, or are you searching for your next longer-term school placement?We are recruiting Science Teachers to work with secondary schools across Tunbridge Wells and the surrounding areas. Opportunities are available for day-to-day cover, regular supply and longer-term positions.We welcome applications from teachers with a specialism in Biology, Chemistry or Physics, as well as those comfortable teaching general Science.What you could be teachingScience across Key Stages 3 and 4GCSE Science and individual science disciplinesPractical and theory-based lessonsExisting schemes of work and lesson plansYour own planned lessons for longer-term placementsYou will be expected to create a positive learning environment, manage behaviour effectively and support students to make progress.We are looking for:QTS or recognised teaching experienceSecondary Science teaching experienceStrong subject knowledgeConfidence teaching KS3 and GCSEGood classroom managementA professional and adaptable approachThe ability to engage students and encourage curiosityWhat we offer£130–£180 per day for daily coverLong-term positions paid to scaleFlexible full-time or part-time workSchools across Tunbridge Wells and surrounding areasShort and longer-term opportunitiesOngoing support from our education recruitment teamApply today to find out about the Science opportunities available from September.....Read more...
Senior Bioprocess Engineer – Process Development
Newton Colmore is working with a well-funded tech company developing AI-driven bioprocessing systems for the pharmaceutical industry, focused on mammalian cell culture and monoclonal antibody production. Due to continued growth, we are assisting them with their hiring of a Senior Bioprocess Engineer to join their team which is a vital appointment for them.
Within this role you will bridge process biology and advanced sensing, running suspension CHO/HEK293 cultures across scales from the bench to pilot, building and maintaining Raman/PLS models, and translating bioreactor behaviour into requirements for engineering and software teams.
You will be joining a multidisciplinary team of high talent engineers and scientists, and your role will be pivotal to the development of their technology.
We are ideally looking for a candidate with the following;
Significant industry experience within pharma/biotech, strong upstream focus
Cell culture in fed-batch and perfusion bioreactors, with scale-up/scale-down and tech transfer experience under GMP
Hands-on with in-line/at-line sensors, calibration and analytes (glucose, lactate, titer, osmolality etc.)
Raman spectroscopy with PLS chemometric modelling
The company are building something that they feel is special and they need great minds to join their mission. You will be rewarded with autonomy and freedom to make this role your own, which given the stage of the company, could quickly turn into a leadership position, mixed with a strong starting salary which can be tailored to the right candidate. Relocation assistance would be on a case-by-case basis, and they are currently putting together an equity plan.
Within this company innovation and invention comes first, and with direct access to the CEO and CTO, there would not be any hierarchy to stem your work.
This is a confidential search, and applications are handled with full discretion, so please do reach out or apply for more details on the company and what they are building.
....Read more...
Computational Scientist – Deep Tech
Newton Colmore is proud to be working with a venture that sits at the intersection of AI, biology, and advanced process engineering. We are assisting them in their search for a computational scientist to play a foundational role in the development of their data-rich product.
This is a rare opportunity to join a highly ambitious, venture-backed team transforming complex industrial processes into intelligent, predictable, and controllable systems. The successful candidate will help build the modelling and machine learning capabilities that underpin a platform that aims to transform how process data is viewed and utilised.
The position offers significant autonomy, technical ownership, and a clear path for growth.
As a computational scientist, you will own the development of advanced computational models spanning mechanistic process understanding, machine learning, digital twin technology, and real-time predictive intelligence.
Working closely with a multidisciplinary team of scientists and engineers, you will apply cutting-edge mathematics, modelling, and AI techniques to solve complex industrial challenges with real-world impact.
The role will also provide an opportunity to build novel predictive models using advanced sensor technology, then looping the data back to the engineering and science teams to ensure that constant iterations and alterations can be made.
We are looking for candidates with strong mathematics fundamentals, ideally applying them within a highly complex scientific and engineering field. This will be complemented by experience with working on digital twin technology, simulation platform sand predictive process models.
Any additional experience with industrial monitoring applications and/or chemical manufacturing would be highly advantageous.
In their pursuit of hiring outstanding engineers and scientists, the company are offering a competitive package with share options and the potential to help with relocation (case by case basis). This mixed with direct access to the founders, and investors, it could be a great destination for the next part of your career, working on something that is aiming to be truly transformational.
For a confidential discussion regarding this opportunity, please apply with an up-to-date CV detailing relevant modelling, machine learning, or computational science experience and a member of our team will be in touch with more details.
....Read more...
Computational Scientist – Deep Tech
Newton Colmore is proud to be working with a venture that sits at the intersection of AI, biology, and advanced process engineering. We are assisting them in their search for a computational scientist to play a foundational role in the development of their data-rich product.
This is a rare opportunity to join a highly ambitious, venture-backed team transforming complex industrial processes into intelligent, predictable, and controllable systems. The successful candidate will help build the modelling and machine learning capabilities that underpin a platform that aims to transform how process data is viewed and utilised.
The position offers significant autonomy, technical ownership, and a clear path for growth.
As a computational scientist, you will own the development of advanced computational models spanning mechanistic process understanding, machine learning, digital twin technology, and real-time predictive intelligence.
Working closely with a multidisciplinary team of scientists and engineers, you will apply cutting-edge mathematics, modelling, and AI techniques to solve complex industrial challenges with real-world impact.
The role will also provide an opportunity to build novel predictive models using advanced sensor technology, then looping the data back to the engineering and science teams to ensure that constant iterations and alterations can be made. This role can be either fully remote or hybrid.
We are looking for candidates with strong mathematics fundamentals, ideally applying them within a highly complex scientific and engineering field. This will be complemented by experience with working on digital twin technology, simulation platform sand predictive process models.
Any additional experience with industrial monitoring applications and/or chemical manufacturing would be highly advantageous.
In their pursuit of hiring outstanding engineers and scientists, the company are offering a competitive package with share options and the potential to help with relocation (case by case basis). This mixed with direct access to the founders, and investors, it could be a great destination for the next part of your career, working on something that is aiming to be truly transformational.
For a confidential discussion regarding this opportunity, please apply with an up-to-date CV detailing relevant modelling, machine learning, or computational science experience and a member of our team will be in touch with more details.
....Read more...
