High Easter Other Job Listings

Cheminformatics Engineer63500135521537120

Workable

Cheminformatics Engineer

About Dalton: Dalton is on a mission to make drug design more efficient. We are building the AI ecosystem for drug discovery, solving real-world problems, and transforming the pharmaceutical industry. Our goal is to harness cutting-edge technology and turn it into impactful products for our partners. Join us as we revolutionize drug discovery and improve the lives of patients worldwide. Why Join Dalton? Dalton offers an exciting, collaborative environment where you can contribute to revolutionizing drug discovery. We value innovation, creativity, and commitment, and we are united by our mission to make a difference globally. Role Overview: We are seeking a detail-oriented Cheminformatics Engineer who is passionate about developing transformative technology to enhance the productivity of drug design. If you thrive in a fast-paced, multidisciplinary environment and have the skills below, we’d love to hear from you. Requirements Key Responsibilities: Build strong relationships with Dalton’s partners and deliver transformational projects. Collaborate with cross-functional teams—including data science, software engineering, and product development to integrate novel technologies. Develop cutting-edge AI methods and integrate them into robust products that improve partner efficiency. Deliver robust, extensible, and maintainable software solutions, translating high-level business objectives into technical implementations. Drive your work with minimal supervision, managing the full software lifecycle from requirements capture to planning and execution. Stay informed about advancements in relevant scientific research and apply this knowledge to your work. Capabilities: Master’s or PhD in Computational Chemistry (e.g., Cheminformatics or Quantum Mechanics) or Artificial Intelligence applied to scientific problem-solving. Proven track record of impactful contributions to scientific projects. Advanced proficiency in Python or experience with other programming languages (e.g., Java, C/C++). Strong communication skills, capable of conveying complex scientific concepts to diverse audiences. Inclusive team player, open to learning from others and contributing to a collaborative environment. Desire to rapidly transition novel chemical AI research into production environments to transform drug discovery. Beneficial Skills and Experience: Expertise in one or more of the following areas: Artificial Intelligence: Experience with state-of-the-art methods such as graph neural networks, transformers, Gaussian processes, generative modeling, or reinforcement learning. Cheminformatics: Knowledge of chemistry data storage, formats, and synthesis prediction; proficiency with toolkits such as RDKit or OpenEye. Quantum Mechanics: Experience applying QM techniques to synthesis prediction, including using QM toolkits (e.g., PSI4, Orca, Gaussian). Experience with data curation and processing from heterogeneous sources; familiarity with tools like Apache Spark or Hadoop. Proficiency with cloud platforms (AWS, GCP, Azure). Familiarity with major machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Open-source contributions or publications demonstrating expertise in machine learning for scientific applications. Hands-on experience with best software development practices in collaborative environments.

London, UK

Negotiable Salary

QEC Applications Scientist63500068198273121

Workable

QEC Applications Scientist

Cambridge, UK | Full-time | Permanent Salary: £62,000 - £75,000 DOE + bonus + equity  Location note: Please note that we also have a very similar US-based opening for this position in Seattle, US. Please see our separate, US job posting for more details.  Compensation note: The salary range for this role is broad as we are able to consider varying levels of experience.  Any offer made will carefully take into account level of experience (including relevant industry experience), transferable relevant skills and previous relevant achievements.  About us Riverlane’s mission is to make quantum computing useful, sooner. From advances in material science to complex chemistry simulation for drug design and discovery, quantum computers will help solve some of the world’s most important challenges. Riverlane is building the quantum error correction stack, Deltaflow, to make this happen. It’s a complex problem that requires a range of skills, talent and passion. We recently raised $75M in Series C funding to accelerate our cutting-edge R&D in quantum error correction (QEC), and are partnering with many of the world’s leading quantum hardware providers and government agencies to make fault-tolerant quantum computing a reality. We’re making remarkable progress and growing fast.  About the role As quantum computing enters a new phase—the ‘QEC era’— marked by significant advancements in quantum error correction, Riverlane’s customers are integrating Deltaflow with their existing quantum computing control systems, and demonstrating the first steps toward error-correcting capability. We’re excited to launch this fantastic QEC Applications Scientist opportunity, which will play a critical role in the QEC journey for our customers and partners. Working closely with Riverlane’s customers and leveraging the learnings from our work with varied quantum computing systems, you will be instrumental in supporting each customer to achieve their first QEC results. What you will do As QEC Applications Scientist, you will be responsible for supporting Riverlane’s customers and partners on their QEC experimental journey, starting from their first QEC results. As Riverlane works with many different partners, across all qubit types, you will gain exposure to different qubit architectures, and their respective QEC considerations. Using these insights, along with your background in quantum computing and quantum error correction, and your proven track record of publications in quantum computing, you will accelerate the progress of Riverlane’s customers and partners toward fault-tolerance.    In this role, you will:  Enable our UK and Europe-based customers with varied qubit architectures to achieve successful QEC demonstrations using Riverlane’s quantum error correction system (Deltaflow) Use Deltaflow and Riverlane’s software tools for rapid QEC experiment prototyping in collaboration with our customers  Present QEC integration and experimentation results externally, including at conferences and through publications (and other relevant avenues) Influence Deltaflow’s product development by advocating for the needs of our customers Work with stakeholders across Riverlane to influence the creation of educational content that can accelerate a new QEC customer’s journey Champion a culture where Riverlane shares the QEC success stories of customers to benefit the wider QEC community Requirements What we need Master’s or PhD in Electrical Engineering, Computer Science, experimental physics (or related field) Proven experience with quantum error correction or related research and experimentation experience (in industry or academia)  Proven experience with computational tools for scientific research in quantum computing (or related field) Familiarity with qubit architectures and considerations for NISQ and QEC experiments Ability and willingness to travel within UK and Europe to customer and partner sites Strong written and oral communication skills, with the ability to discuss complex ideas with a variety of audiences, in a clear and simple way Ability to work effectively in a collaborative team environment A passion for learning and a curious, solution-oriented mindset Even better if you have  Strong track record of working collaboratively with research and product development teams to enable customers and partners  Experience in stim (strongly preferred) and/or other QEC tools, especially in a quantum computing experimental setting   Familiarity with quantum error correction concepts and protocols Benefits What can you expect from us  A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, and a contributory pension scheme   Equity, so that our team can share in the long-term success of Riverlane   28 days annual leave, plus bank holidays and enhanced family leave   A diverse work environment that brings together experts in many fields (including software and hardware development, quantum information theory, physics and maths) and over 20 different nationalities   A learning environment that encourages individual, team and company growth and learning, including a regular programme of learning events and training and conference budgets  How to apply  Please upload a CV and covering letter by clicking 'Apply Now'. Your covering letter should explain why you are applying for the job and what skills and experience you can bring to the role.  We review CVs as we receive them and interview as soon as we have applications that look like a good match (usually within one week). We do not use closing dates. So, please apply as soon as possible to avoid missing out on this role.   If you have any queries, please contact jobs@riverlane.com.    Everyone is welcome at Riverlane. We are an equal opportunities employer and encourage applications from eligible and suitably qualified candidates regardless of age, disability, ethnicity, gender, gender reassignment, religion or belief, sexual orientation, marital or civil partnership status, or pregnancy and maternity/paternity.  Studies have shown that women tend to apply to jobs if they meet all or almost all of the requirements whereas men apply even if they meet only some of the requirements. If that sounds like you then please apply – we are happy to review your application and let you know if we think you might be a good fit.  If you need any adjustments made to the application or selection process so you can do your best, please let us know. We will be happy to help. 

Cambridge, UK

£62,000-75,000/year

Immunoinformatics Engineer63393303660803122

Workable

Immunoinformatics Engineer

About Dalton: Dalton is on a mission to make drug design more efficient. We are building the AI ecosystem for drug discovery, solving real-world problems, and transforming the pharmaceutical industry. Our goal is to harness cutting-edge technology and turn it into impactful products for our partners. Join us as we revolutionize drug discovery and improve the lives of patients worldwide. Why Join Dalton? Dalton offers an exciting, collaborative environment where you can contribute to revolutionizing drug discovery. We value innovation, creativity, and commitment, and we are united by our mission to make a difference globally. Role Overview: We are seeking a detail-oriented Immunoinformatics Engineer who is passionate about developing transformative technology to enhance the productivity of drug design. If you thrive in a fast-paced, multidisciplinary environment and have the skills below, we’d love to hear from you. Requirements Key Responsibilities: Build strong relationships with Dalton’s partners and deliver transformational projects. Collaborate with cross-functional teams—including data science, software engineering, and product development—to integrate novel technologies. Develop cutting-edge AI methods and integrate them into robust products that improve partner efficiency. Deliver robust, extensible, and maintainable software solutions, translating high-level business objectives into technical implementations. Drive your work with minimal supervision, managing the full software lifecycle from requirements capture to planning and execution. Stay informed about advancements in relevant scientific research and apply this knowledge to your work. Capabilities: Master’s or PhD in Computational Biology (e.g., Bioinformatics) or Artificial Intelligence applied to scientific problem-solving. Proven track record of impactful contributions to scientific projects. Advanced proficiency in Python or experience with other programming languages (e.g., Java, C/C++). Strong communication skills, capable of conveying complex scientific concepts to diverse audiences. Inclusive team player, open to learning from others and contributing to a collaborative environment. Desire to rapidly transition novel bioinformatics AI research into production environments to transform drug discovery. Beneficial Skills and Experience: Expertise in one or more of the following areas: Artificial Intelligence: Experience with state-of-the-art methods such as graph neural networks, transformers, Gaussian processes, generative modeling, or reinforcement learning. Bioinformatics: Knowledge of biology data storage, formats, and protein-structure prediction; proficiency with toolkits such as BioPython Protein Dynamics: Experience applying MD techniques to protein-protein interactions including using toolkits (e.g., OpenMM, Rosetta) Integrative structural modelling: Experience integrating structural data, e.g. CryoEM or HDX-MS with computational models in automated ways Experience with data curation and processing from heterogeneous sources; familiarity with tools like Apache Spark or Hadoop. Proficiency with cloud platforms (AWS, GCP, Azure). Familiarity with major machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Open-source contributions or publications demonstrating expertise in machine learning for scientific applications. Hands-on experience with best software development practices in collaborative environments.

London, UK

Negotiable Salary

Quantum Algorithms Scientist63500057380865123

Workable

Quantum Algorithms Scientist

Phasecraft is the quantum algorithms company. We are building the mathematical foundations for quantum computing applications that solve real-world problems. Founded in 2019 by Toby Cubitt, Ashley Montanaro and John Morton, we are based in London and Bristol, UK. In 2023 we completed a £13m Series A funding round led by leading Silicon Valley deep tech VC, Playground Global. Phasecraft’s unprecedented access to today’s best quantum computers – through partnerships with Google, IBM, and Rigetti – provides us with unique opportunities to develop foundational IP, inform the development of next-generation quantum hardware, and accelerate commercialisation of high-value breakthroughs. We are looking to hire a Quantum Algorithms Scientist to join our team. The ideal candidate will have experience in the theory of algorithms for gate-model quantum computers or related topics in quantum computing theory, quantum information theory or related areas of quantum theory. Their work will contribute to Phasecraft’s goal of developing quantum algorithms for near-term quantum computers, and may encompass topics such as algorithm optimization and design, quantum codes, resource analysis, error mitigation, and hardware benchmarking. They will have the opportunity to grow a portfolio of research activity across the breadth of Phasecraft’s interests. Job Description Undertake theoretical and/or applied research on near-term quantum computing algorithms, applications and/or enabling theoretical technologies. Help to author publications, presentations, patent applications and similar resulting from the research. Work collaboratively in a small team made up of full-time staff and affiliated PhD students. Other activities as required to support the growth and success of Phasecraft. Requirements Essential criteria: Expertise in quantum information and/or computation theory. PhD (or soon to receive one) in quantum information, quantum computation theory, theoretical computer science, theoretical physics, or closely related field. Ability to work independently on research projects and to work in a team. Strong publication track-record in relevant discipline. Flexibility to work across different aspects of quantum software and underpinning theory. Flexibility to work on other tasks required to support the growth and success of the company. Desirable criteria: An interest in near-term quantum computing. Either experience of implementing algorithms on quantum hardware and/or in classical emulation; or strong theoretical/mathematical research track-record with an interest in applying this to quantum computing; or software development skills and experience. Enthusiasm for learning and novel research. Excellent communication skills.

London, UK

Negotiable Salary

Head of Reagent Development63393278026369124

Workable

Head of Reagent Development

We’re developing diagnostics at the speed of life. Want to lead the team building the reagents that make it possible? At LEX Diagnostics, we’re pioneering ultra-fast PCR at the point of care bringing lab standard performance to GPs, emergency departments, and field settings with the LEX VELO platform. Our Biology team is at the heart of that innovation, and we’re looking for a Head of Reagent Development to lead the charge on all things lyo. This is a role for someone who’s hands on, technically excellent, and thrives in a leadership position. Someone with deep experience developing and scaling qPCR/RT-qPCR reagents, and a real track record in lyophilisation. If you know your way around freeze drying cycles, enzyme stability, and you’re motivated to turn that into something with real global impact, we’d love to hear from you. What you’ll be doing As Head of Reagent Development, you’ll be responsible for the design, optimisation, validation, and transfer to manufacture of our LEX VELO reagent systems, both wet and lyophilised. You’ll lead and grow a team of experienced molecular biologists and biochemists and work closely with production, assay development and engineering teams to ensure reagents are not just effective, but fully integrated with our platform. You'll balance hands on lab work with project management, team mentorship, and strategic input into our wider product development. And you’ll do all this in a fast moving, ISO13485-aware environment, working with real purpose toward a high impact product launch. Requirements What we’re looking for A PhD (or equivalent experience) in molecular biology, biochemistry or related field Substantial experience developing reagents for qPCR/RT-qPCR assays Deep, hands-on experience in lyophilisation: from formulation to equipment maintenance and cycle development A background in nucleic acid extraction A confident leader with experience managing teams and projects, including under time pressure Strong documentation and communication skills, particularly in a regulated (ISO13485) environment Experience working in BSL-2 labs and a thorough understanding of biosafety and lab control measures Ability to critically evaluate data, troubleshoot experiments, and guide others to do the same Benefits What you’ll get from us This is a rare opportunity to lead a high-impact function in a growing, ambitious diagnostics company, and play a pivotal role in the commercialisation of a system designed to transform how infections are diagnosed globally. You’ll work with a talented, mission driven team, and you’ll be supported to grow both technically and as a leader. You’ll also get A collaborative and scientifically rich environment A clear product focus (we’re here to ship, not just research) Autonomy in how you and your team deliver The chance to shape a core part of our platform's success Who are we and what does the future hold for you? LEX Diagnostics was founded in 2020. Our innovative system integrates effortlessly into primary care settings, bringing PCR-level sensitivity to urgent care centres, physicians, labs, and pharmacies, all at a significantly lower cost per test than other molecular platforms. 2025 is a milestone year for us as we’ve just submitted dual 510(k) CLIA waiver applications to the U.S. FDA. This means you will be an important part of a high impact launch that will enhance your future career credentials. The Future In December 2023, QuidelOrtho invested in LEX Diagnostics, which included the exclusive option to acquire the company up to or shortly after 510(k) clearance by the FDA. In QuidelOrtho, we have an investment partner that recognises the capabilities of our team, and are excited for what we can continue to build together... We are optimistic to receive 510(k) clearance in late 2025 or early 2026. What this means for you More Resources - Manufacturing scale, regulatory & distribution infrastructure R&D Focus - Concentrated innovation around LEX platform and test menu Career Mobility - As well as creating a cross-disciplinary development environment in science and engineering, LEX employees can transition into broader roles (e.g., regulatory affairs, global supply chain, sales, clinical affairs) across the integrated organisation. Global Exposure - International workflows & markets (US & EU) Impact & Stability - Increased product reach and organisational strength Development - Structured programs and training opportunities 2026 should see the elevation of the LEX Diagnostics team from startup environment into a well-supported, international diagnostics powerhouse without sacrificing the very thing that made our team successful, innovation. You’ll help drive forward a unique, market-leading platform within a growing team that needs to invest in your development and career growth. Our working culture encourages entrepreneurship, shared ideas, and technical collaboration, while providing you the freedom to do your best work. We also offer fantastic employee benefits including: Employer pension contribution of 10% (+3% personal contribution) Private Medical Insurance Life insurance 25 days’ annual holiday plus bank holidays Discounts and memberships to local sports facilities and the theatre Ready to lead the team that powers the assay behind the system? Apply now.

Melbourn, Royston SG8, UK

Negotiable Salary