249 Research Scientist jobs in Cambridge

• 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.

• Assist in the design and execution of research experiments.
• Perform routine laboratory tasks including sample preparation, analysis, and data recording.
• Maintain accurate and detailed laboratory notebooks.
• Contribute to the interpretation of experimental results.
• Support senior researchers in various project tasks.
• Ensure compliance with laboratory safety protocols and good laboratory practices.
• Participate in team meetings and contribute to scientific discussions.
• Assist in the preparation of reports and presentations.
• Stay updated with the latest scientific literature relevant to ongoing projects.

• Bachelor's or Master's degree in Biology, Chemistry, Biochemistry, or a related field.
• Strong theoretical understanding of scientific principles.
• Proficiency in basic laboratory techniques.
• Excellent analytical and critical thinking skills.
• Ability to meticulously document experimental procedures and results.
• Good communication and interpersonal skills.
• Eagerness to learn and adapt to new methodologies.
• Familiarity with statistical analysis software is a plus.
• Experience with specific techniques such as PCR, Western Blotting, or chromatography is desirable.

• Assisting senior researchers in designing and executing experimental protocols.
• Collecting, recording, and analysing scientific data using various methodologies.
• Maintaining laboratory equipment and ensuring adherence to safety standards.
• Conducting literature reviews and staying updated on relevant scientific advancements.
• Contributing to the interpretation of experimental results and the development of new hypotheses.
• Preparing reports, presentations, and contributing to the authorship of scientific publications.
• Collaborating effectively with cross-functional research teams.
• Troubleshooting experimental issues and proposing solutions.
• Maintaining accurate and organised laboratory notebooks.
• Participating in lab meetings and scientific discussions.

• A Master's degree or PhD in a relevant scientific discipline (e.g., Biology, Chemistry, Physics, Biotechnology, Environmental Science).
• Strong theoretical knowledge and practical laboratory experience in your field of study.
• Excellent analytical and quantitative skills.
• Proficiency in data analysis software (e.g., R, SPSS, GraphPad Prism) is a plus.
• Good understanding of scientific principles and research methodologies.
• Strong written and verbal communication skills.
• Ability to work independently and as part of a team.
• High level of accuracy and attention to detail.
• Proactive attitude and eagerness to learn.
• Familiarity with (Specific technique e.g., PCR, spectroscopy, microscopy) is advantageous.

• Conduct advanced research in Artificial Intelligence, focusing on machine learning, deep learning, NLP, or computer vision.
• Design, develop, and implement novel AI algorithms and models.
• Perform rigorous experimentation and evaluation of AI systems.
• Collaborate with a team of researchers and engineers on cutting-edge projects.
• Publish research findings in leading AI conferences and journals.
• Develop and maintain AI software prototypes and tools.
• Stay abreast of the latest advancements and trends in the AI field.
• Contribute to grant proposals and research funding applications.
• Mentor junior researchers and contribute to the team's technical growth.
• Present research results to internal and external audiences.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven track record of research and publications in top AI venues.
• Strong theoretical foundation in AI and deep learning concepts.
• Proficiency in programming languages such as Python and frameworks like TensorFlow or PyTorch.
• Experience with data analysis, algorithm development, and experimental design.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong verbal and written communication skills.
• Ability to work effectively in a collaborative research environment.

Origin Sciences is a start-up biotechnology company based in Granta Park, south of Cambridge. We develop our own innovative medical devices, which we use in clinical trials to collect a biobank of mucus-based biospecimens. This biobank provides a valuable source of clinical material that is used for fundamental research,  method/technology development and the creation of diagnostic assays.

Currently, our diagnostic development programs primary focus is the detection of Colorectal Cancer (CRC) and pre-cancerous lesions. Our motivation is to streamline the colorectal cancer detection pathway, enabling healthcare systems to focus on those patients with serious pathologies, ultimately reducing waiting times, enabling earlier detection, and minimising unnecessary investigations performed on healthy patients.

The role:

Origin Sciences is a medical technology company that develops innovative devices and IVD tests to aid in the detection and diagnosis of gastrointestinal diseases. Our current focus is on the diagnosis of colorectal cancer (CRC). The Senior Research Scientist is an experienced laboratory scientist in the field of life sciences, with a proven track record in molecular diagnostics, biomarker validation, PCR-based assays, NGS technologies and cancer genetics.

Requirements

The Senior Research Scientist will support and lead laboratory processes and developments, with a particular focus on molecular biology and Next Generation Sequencing (NGS), as such a proven track record of PCR and NGS is essential. An honours degree in biological sciences, biomedical sciences, biochemistry or equivalent is required in addition to; practical knowledge of biomarker discovery, assay optimization, immunological techniques and working with clinical samples. Education to MSc/PhD level would be preferred, but extensive relevant laboratory experience is also acceptable for the role.

This position is part of the Development Team working to deliver a molecular diagnostics assay with associated NGS technologies. The Senior Research Scientist will work to develop and optimise laboratory processes and participate in the design and implementation of research and development programs. This position requires high attention to detail, the ability to critically assess data, to work to SOPs and a strong focus on quality and reproducibility. Skilled project and time management and the capacity to work well individually or as part of a team are essential.

Additionally, the Senior Scientist will have the opportunity to work in the commercial area of the scientific process; scoping technologies, providers, forging commercial alliances and participating in the delivery of appropriate documentation for notified body submission.

The specific duties of a Senior Research Scientist are:

• Perform nucleic acid extraction and store biobank clinical samples.
• Lead the development and testing of new detection technologies.
• Liaise with the clinical trial teams to coordinate clinical sample deliveries.
• Complete stability, performance, and validation assays, followed by analysis and reporting.
• Design, develop and test assays for use in product development.
• Work towards the goals of collaborative projects with external partners.
• Be accountable for the time, cost, and quality of agreed deliverables.
• Provide updates on the progress, risks, and opportunities of the agreed deliverables.
• Working in a regulated environment, e.g. Good Laboratory Practice or other GxP.
• Assessments of related diagnostic technologies and products.
• Contribute to scientific communication, peer reviewed publications, leaflets and poster.
• To ensure projects are carried out in accordance with Origin's Quality Systems and Regulatory Standards.