324 Research jobs in Cambridge

• Develop and manage comprehensive project plans, timelines, and budgets for scientific research initiatives.
• Oversee all phases of research projects from initiation to completion.
• Coordinate with principal investigators, research staff, and external collaborators to ensure project objectives are met.
• Identify, assess, and manage project risks and issues proactively.
• Facilitate effective communication among project team members and stakeholders through regular meetings and reporting.
• Ensure adherence to scientific protocols, quality standards, and regulatory requirements.
• Manage resource allocation, including personnel, equipment, and funding.
• Prepare detailed project status reports, presentations, and documentation for review.
• Foster a collaborative and results-oriented environment within research teams.
• Contribute to the continuous improvement of project management processes within the institution.

• Proven experience as a Project Manager, ideally with a focus on scientific research or R&D.
• Strong understanding of project management methodologies (e.g., Agile, Waterfall).
• Excellent leadership, communication, and interpersonal skills.
• Proficiency in project management software (e.g., MS Project, Asana, Trello).
• Ability to manage complex projects with multiple stakeholders.
• Strong analytical and problem-solving capabilities.
• A degree in a scientific discipline (e.g., Biology, Chemistry, Physics) is highly desirable.
• PMP or PRINCE2 certification is a plus.
• Experience working in a hybrid work model.

Research Assistant

Permanent

Cambridge

SRG is pleased to be partnering with an organisation involved in the development of human biomimetic platforms. As a Research Assistant in the biology team your role will be to support contract research projects by completing experiments and analysis to a high standard.

Primary Responsibilities:

• Cell line and primary cell culture - expanding cells and ensuring sufficient cell stocks are available
• Performing biological assays (e.g. ELISA’s, fluorescent microscopy, DNA/RNA extractions, qPCR)
• Completing data analysis to produce reliable and precise reports that can be provide to clients/customers and work to meet deadlines.
• Maintaining and operating standard laboratory equipment and following the company’s HSE policies and procedures to ensure the health and safety of yourself and your colleagues.

Ideal Candidate:

• BSc (or equivalent) in a Biology related discipline with experience in a similar role in industry.
• Expertise in mammalian cell cultures and ELISAs
• Experience in primary cell culture, qPCR/RT-PCR and microscopy would be desirable
• A team player with a proactive attitude that is able to support the team and work be able to work autonomously
• A multitasker with the ability to work in a dynamic and ever-changing environment
• Preferable experience of working with advanced cell cultures (e.g. spheroids, organoids, primary cells)
• Experience working in a related laboratory role
• Excellent written and verbal communication skills

Apply now by attaching your CV in Word, or contact Paige Keenan for further information about this new role:

Research Assistant

Permanent

Cambridge

SRG is pleased to be partnering with an organisation involved in the development of human biomimetic platforms. As a Research Assistant in the biology team your role will be to support contract research projects by completing experiments and analysis to a high standard.

Primary Responsibilities:

• Cell line and primary cell culture - expanding cells and ensuring sufficient cell stocks are available
• Performing biological assays (e.g. ELISA’s, fluorescent microscopy, DNA/RNA extractions, qPCR)
• Completing data analysis to produce reliable and precise reports that can be provide to clients/customers and work to meet deadlines.
• Maintaining and operating standard laboratory equipment and following the company’s HSE policies and procedures to ensure the health and safety of yourself and your colleagues.

Ideal Candidate:

• BSc (or equivalent) in a Biology related discipline with experience in a similar role in industry.
• Expertise in mammalian cell cultures and ELISAs
• Experience in primary cell culture, qPCR/RT-PCR and microscopy would be desirable
• A team player with a proactive attitude that is able to support the team and work be able to work autonomously
• A multitasker with the ability to work in a dynamic and ever-changing environment
• Preferable experience of working with advanced cell cultures (e.g. spheroids, organoids, primary cells)
• Experience working in a related laboratory role
• Excellent written and verbal communication skills

Apply now by attaching your CV in Word, or contact Paige Keenan for further information about this new role:

• Design and execute field trials to evaluate crop performance under various conditions and treatments.
• Conduct soil and plant tissue analysis in the laboratory to assess nutrient levels and health.
• Collect, manage, and analyze data from field and lab experiments using statistical software.
• Develop and implement innovative agronomic practices to enhance crop yields and quality.
• Research and evaluate new crop varieties, fertilizers, and pest control methods.
• Prepare detailed research reports, scientific publications, and presentations for conferences.
• Collaborate with other scientists, agronomists, and agricultural stakeholders.
• Stay current with the latest advancements in agronomy, plant science, and agricultural technology.
• Ensure adherence to all safety protocols and laboratory procedures.
• Assist in the supervision of research technicians and interns working on assigned projects.

• Master's degree or Ph.D. in Agronomy, Crop Science, Plant Biology, or a closely related field.
• Proven experience in agricultural research, preferably with field trial design and management.
• Strong understanding of soil science, plant physiology, and crop production systems.
• Proficiency in data analysis and statistical software (e.g., R, SAS, SPSS).
• Experience with laboratory techniques for soil and plant analysis.
• Excellent written and verbal communication skills, with a track record of scientific writing.
• Ability to work independently and as part of a collaborative research team.
• Willingness to conduct fieldwork in various weather conditions.
• Knowledge of sustainable agriculture principles is highly desirable.

• Design and conduct field and laboratory experiments to evaluate new agricultural technologies and practices.
• Analyze experimental data using statistical methods and interpret results to inform research direction.
• Develop and implement protocols for genetic analysis, crop breeding, or soil science.
• Collaborate with a multidisciplinary team of scientists, agronomists, and engineers.
• Stay updated on the latest research and advancements in agricultural science and technology.
• Contribute to the preparation of research papers, reports, and presentations for scientific conferences and industry stakeholders.
• Assist in the management of research plots, greenhouses, and laboratory equipment.
• Evaluate the efficacy and environmental impact of new agricultural inputs and methodologies.
• Troubleshoot experimental issues and propose innovative solutions.

• Ph.D. or Master's degree in Agronomy, Plant Science, Genetics, Agricultural Engineering, or a closely related field.
• Demonstrated experience in agricultural research, including experimental design and data analysis.
• Proficiency in relevant software for statistical analysis (e.g., R, SAS) and data visualization.
• Knowledge of molecular biology techniques or GIS/remote sensing applications in agriculture is a plus.
• Excellent written and verbal communication skills.
• Ability to work effectively both independently and as part of a collaborative team.
• Strong organizational skills and attention to detail.
• Willingness to travel occasionally to field sites and conferences.

• Ph.D. in Agronomy, Agricultural Science, Plant Science, Biotechnology, or a related field.
• Proven experience in agricultural research, with a strong publication record.
• Expertise in crop physiology, genetics, soil science, or precision agriculture.
• Proficiency in statistical analysis software (e.g., R, SAS, SPSS) and data visualization tools.
• Experience with experimental design and research methodologies.
• Familiarity with relevant technologies such as IoT, remote sensing, or AI in agriculture is a plus.
• Excellent written and verbal communication skills, with the ability to articulate complex scientific concepts clearly.
• Self-motivated, organized, and able to manage multiple projects effectively in a remote environment.

• Design and conduct experiments in genomics, molecular biology, and gene editing.
• Prepare samples and perform library construction for various next-generation sequencing (NGS) platforms.
• Implement and optimize gene editing technologies (e.g., CRISPR-Cas9) in cell-based models.
• Analyze large-scale genomic datasets, including whole-genome, exome, and transcriptome sequencing data.
• Utilize bioinformatics tools and pipelines for variant calling, annotation, and functional analysis.
• Interpret experimental results and draw meaningful biological conclusions.
• Develop and document new laboratory protocols and SOPs.
• Collaborate with bioinformatics teams to develop custom analysis workflows.
• Write and contribute to scientific publications and grant proposals.
• Present research findings at internal meetings and external scientific conferences.

• PhD in Genomics, Molecular Biology, Genetics, or a related field.
• Minimum of 3-5 years of postdoctoral or relevant industry research experience.
• Hands-on experience with NGS library preparation and sequencing technologies.
• Proficiency in using bioinformatics software and scripting languages (e.g., R, Python) for data analysis.
• Strong understanding of genetic variation, gene regulation, and disease mechanisms.
• Experience with gene editing techniques is highly desirable.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to work independently and as part of a multidisciplinary team.
• Strong written and verbal communication skills.

• Assisting senior researchers in designing and conducting experiments.
• Collecting, recording, and analyzing scientific data accurately.
• Preparing research reports and presentations.
• Maintaining laboratory equipment and ensuring a safe working environment.
• Conducting literature reviews to support research initiatives.
• Troubleshooting experimental procedures and offering potential solutions.
• Collaborating effectively with team members on various research projects.
• Contributing to the overall scientific objectives of the research group.
• Learning and applying new research techniques and methodologies.
• Maintaining accurate and organized laboratory records.

• Conduct cutting-edge research in areas such as machine learning, deep learning, natural language processing, computer vision, reinforcement learning, or other relevant AI fields.
• Design, implement, and evaluate novel AI models and algorithms.
• Collaborate with a team of leading researchers and engineers to drive innovation and project success.
• Publish research findings in top-tier academic conferences and journals.
• Develop and maintain high-quality, well-documented code for research prototypes and experiments.
• Analyze and interpret complex datasets to extract meaningful insights and inform model development.
• Stay abreast of the latest advancements and research trends in the field of AI and emerging technologies.
• Contribute to the intellectual property portfolio through patent applications and invention disclosures.
• Present research findings and technical concepts to both internal and external audiences.
• Mentor junior researchers and interns, fostering a culture of learning and scientific rigor.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Demonstrated track record of research excellence, evidenced by publications in top conferences (e.g., NeurIPS, ICML, CVPR, ACL) or equivalent research contributions.
• Strong theoretical understanding and practical experience in machine learning, deep learning, and related AI domains.
• Proficiency in programming languages such as Python, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with large-scale data processing and distributed computing environments.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, essential for effective remote teamwork.
• Ability to work independently, manage research projects, and drive results in a flexible, remote setting.