Latest Research Associate Jobs

Pfizer logo

Global Development Lead, Internal Medicine, Sr. Director (MD)

This role involves leading clinical development for Internal Medicine assets at Pfizer, with end-to-end accountability for designing, executing, and interpreting global clinical trials. The individual will serve as the primary clinical leader on cross-functional teams, shaping development plans, supporting regulatory submissions, and engaging with external stakeholders. A strong emphasis is placed on strategic innovation, team leadership, and therapeutic expertise in obesity and endocrinology.

Pfizer
On-site Permanent
Pfizer logo

Global Development Lead, Internal Medicine, Sr. Director (MD)

Leads clinical development for assigned assets in Internal Medicine, driving global clinical strategy, trial design, execution, and regulatory submissions. Serves as primary clinical accountability, collaborating with cross-functional teams and external stakeholders to advance drug development programs from concept through approval, with potential focus on obesity-related therapeutics.

Pfizer £274,500 – £457,500 pa
On-site Permanent

Software Engineer - Intent Translation

Develop software to translate scientific protocols into reliable, automated laboratory processes by capturing tacit biological knowledge and encoding it into executable, traceable systems. Work closely with scientists and engineers to ensure automated results match manual outcomes, design data models for reproducibility, and validate runs in real lab environments. The role bridges deep scientific understanding with software engineering to make autonomous labs function effectively.

Ellison Institute of Technology Oxford, United Kingdom
Hybrid Permanent

Software Engineer - Orchestration

This role involves building the execution engine for autonomous laboratories, bridging AI-driven decision-making with reliable, safe control of laboratory hardware. You'll design systems that translate high-level agent intent into precise, observable, and recoverable sequences of actions, ensuring operations remain within biological and mechanical constraints. The work emphasizes robustness, closed-loop validation through sensors and feedback, and handling failures gracefully in real-world scientific environments.

Ellison Institute of Technology Oxford, United Kingdom
Hybrid Permanent
AstraZeneca logo

12 Month University Industrial Placement Student: Biologics Engineering

This 12-month industrial placement offers hands-on laboratory experience in biologics engineering, focusing on protein engineering, molecular biology, and cell-based technologies to advance therapies like monoclonal and bispecific antibodies. You'll contribute to drug discovery projects in respiratory, oncology, and immunology, gaining real-world research experience within a supportive, international R&D team.

AstraZeneca Cambridge, United Kingdom £28,000 pa
AstraZeneca logo

12 Month University Industrial Placement Student: Computational Chemistry

This 12-month industrial placement offers hands-on experience in computational chemistry within AstraZeneca’s Oncology Medicinal Chemistry Department in Cambridge. The role involves applying machine learning, generative AI, and physics-based modelling to support drug discovery, including structure- and ligand-based design, cheminformatics workflows, and molecular dynamics simulations. The student will work alongside experienced scientists in a collaborative, innovation-driven environment at one of the world’s leading biopharma R&D centres.

AstraZeneca Cambridge, United Kingdom £28,000 pa
GSK logo

Medical and Scientific Advisor - Specialty Care

Provides medical and scientific leadership for specialty care therapy areas in the UK, translating global strategies into local medical plans. Engages with healthcare professionals and patient groups, supports evidence generation, and ensures medical governance. Focuses on delivering patient benefit through science and collaboration in a hybrid working environment.

GSK United Kingdom
Roche logo

Machine Learning Scientist - Quantum Chemistry

Develop machine learning models grounded in quantum chemistry to accelerate small-molecule drug discovery. Create synthetic datasets using quantum mechanics and build scalable, deployable pipelines integrated into molecular design tools. Collaborate with computational and experimental scientists to advance drug discovery through publications and open-source contributions.

Hybrid Permanent
Recursion logo

Senior AI Researcher

Work on cutting-edge AI research to accelerate drug discovery by developing models that bridge virtual cells and real-world data. Collaborate with interdisciplinary teams of scientists and engineers to translate complex biological data into scalable biomedical solutions. Focus on advancing end-to-end applications in discovery, design, and translation using large-scale datasets and frontier AI techniques.

Recursion United Kingdom
Moderna logo

Principal Scientist, Bioanalytical & Molecular Assays

This role involves leading the development and validation of advanced molecular assays—including RT-qPCR, dPCR, and NGS-based methods—for clinical biomarker programs at Moderna. The scientist will drive end-to-end assay lifecycle management, ensure compliance with GCLP and regulatory standards, and collaborate across multidisciplinary teams to generate high-quality genomic data. A key focus is integrating genomics, bioinformatics, and clinical insights to support drug development and inform future pipeline strategies.

Hybrid Permanent
Isomorphic Labs logo

Software Engineer (TechOps), London

This role involves building and managing cloud infrastructure and DevOps tooling to support AI-driven drug discovery. You'll work across research, development, and production environments using GCP, Kubernetes, and Infrastructure as Code, collaborating closely with scientists, ML researchers, and engineers. The focus is on creating scalable, secure, and automated systems that accelerate scientific innovation in a fast-moving, interdisciplinary environment.

Isomorphic Labs United Kingdom
Hybrid Permanent
Isomorphic Labs logo

Bioanalytical Lead, London

Lead the development and execution of bioanalytical strategies for a diverse portfolio of AI-designed therapeutics, including small molecules, biologics, and ADCs. Design and validate PK, PD, and immunogenicity assays, manage global CROs, and integrate bioanalytical data into AI models to refine drug discovery. Play a key role in IND-enabling studies and cross-functional preclinical development in a hybrid London-based role.

Isomorphic Labs London, United Kingdom
Hybrid Permanent
GSK logo

Principle Scientist - Cheminformatics

This role involves developing and deploying advanced computational and machine learning models to accelerate drug discovery within GSK's BRADSHAW platform. The Principal Scientist will integrate cheminformatics, quantum mechanics, and AI-driven workflows to support decision-making across discovery programmes. Emphasis is placed on collaboration with multidisciplinary teams and translating complex data into actionable insights for non-experts.

GSK Stevenage, United Kingdom
Newcastle University logo

PhD Studentship in Computer Science: Programming Matter - Dynamic DNA Data Structures for Molecular Information Storage and Computing

This PhD studentship focuses on developing dynamic DNA data structures for molecular information storage and computing, combining computational design with experimental lab work. The project builds on pioneering research in DNA-based stack structures and aims to create novel molecular data structures such as queues, deques, and priority structures. The candidate will work within an interdisciplinary team, designing, modelling, and validating DNA/RNA systems and molecular circuits for in vitro or cellular applications.

Newcastle University Newcastle upon Tyne, Northern England, United Kingdom £21 pa
Contract

Machine Learning Scientist

This role involves designing and prototyping generative machine learning models for protein design, with a focus on real-world biological functionality. The scientist will build scalable data pipelines, optimize model performance, and collaborate closely with biologists to test predictions in wet lab environments. A strong research background and passion for interdisciplinary innovation are essential.

Latent Labs London, United Kingdom, United Kingdom
Hybrid Permanent