6,595 Junior Scientists jobs in the United Kingdom

Celentyx Ltd is a successful pharmaceutical research and development company (this position will be based at the Birmingham, UK site), undertaking high-level immune-focussed  in vitro  research using human primary cells and tissues relevant to immuno-oncology, inflammation, neuroinflammation and fibrosis.

As part of our ongoing expansion, we are currently looking for highly motivated, hard-working individuals to join our  in vitro  biology, pathology and pharmacology teams. These teams run a wide range of assays using techniques such as multi-colour (spectral) flow cytometry, high-throughput confocal microscopy, multiplex cytokine assays, 3D- and organotypic culture and RNAseq. Successful applicants will be an integral part of a dynamic and flexible teams that deliver a variety of high-level and often bespoke research to strict timescales.

Prospective candidates should hold a degree in immunology, pharmacology or another relevant subject and for the Senior/Principal Scientist positions, preferably a PhD or equivalent experience. Demonstrated experience and high-level competence (both practical and theoretical) in human cellular and molecular immunology (including an understanding of signalling pathways leading to immune cell responses),  in vitro  immunology (including performing complex assays involving purified immune cells), and multi-parametric flow cytometry are preferred. Experience working with human tissue and/or industrial experience would be an advantage. In addition, excellent organisational skills and the ability to work as part of a team as well as independently are essential.

A generous performance-based remuneration package consisting of salary and bonuses is available. If appropriate, successful candidates will have the opportunity to register for a PhD.

Interested parties should email a current CV and cover letter to 

Role :-

Your role will involve helping the team to develop and implement algorithms which predict price changes in equity markets as well as constructing portfolios based on quantitative signals . After a period , you will be able to develop and implement these yourself.

Requirements :-

PhD in a hard science from a red brick University.

You must have a background in time series analysis , statistics , DSP, reinforced learning , or applied mathematics .

You must be able to program confidently in Python , C++ or Matlab . Strong programming ability is an important component of this job.

You should be able to demonstrate an interest in modelling and implementing quantitative equity strategies and of equity data such as market and fundamental company data.

• Design and execute bioinformatics analyses for large-scale genomics, transcriptomics, proteomics, and metabolomics datasets.
• Develop and implement novel computational tools and algorithms to support research objectives.
• Collaborate with experimental biologists, clinicians, and other researchers to interpret biological data and generate actionable insights.
• Contribute to the conceptualization and design of new research projects and grant proposals.
• Manage bioinformatics workflows and pipelines, ensuring data integrity and reproducibility.
• Stay abreast of the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
• Present research findings at internal meetings and external scientific conferences.
• Mentor junior scientists and contribute to the growth of the research team's computational capabilities.
• Author scientific publications in peer-reviewed journals.
• Ensure compliance with data management best practices and ethical guidelines.

• PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• Minimum of 6 years of post-doctoral research experience in bioinformatics or computational biology.
• Proven track record of leading successful research projects and contributing to high-impact publications.
• Expertise in analysing diverse biological datasets using statistical and machine learning methods.
• Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl) and experience with bioinformatics software packages and databases.
• Strong understanding of molecular biology principles and experimental techniques.
• Excellent problem-solving, analytical, and critical-thinking skills.
• Outstanding communication and presentation skills, with the ability to articulate complex scientific concepts effectively.
• Experience with high-performance computing environments is a plus.
• Ability to work independently, manage priorities, and collaborate effectively in a remote research setting.

• Lead the design and execution of ambitious research projects in biotechnology, with a focus on developing novel therapeutics for unmet medical needs.
• Direct and mentor a team of research scientists and technicians, fostering a collaborative and high-performance research environment.
• Develop and implement innovative experimental strategies using advanced molecular biology, genomics, and proteomics techniques.
• Critically analyse complex biological data, interpret results, and draw robust conclusions to guide research direction.
• Contribute to the preparation of grant proposals and secure external funding for research initiatives.
• Publish findings in high-impact peer-reviewed journals and present research at international conferences.
• Collaborate effectively with cross-functional teams, including chemistry, pharmacology, and clinical development departments.
• Ensure compliance with all relevant ethical guidelines, regulatory requirements, and safety protocols within the laboratory.
• Identify emerging scientific trends and technologies relevant to the company's strategic goals.
• Contribute to the intellectual property strategy through patent filings and disclosures.

• A Ph.D. in Molecular Biology, Biochemistry, Genetics, Biotechnology, or a closely related life science discipline.
• A minimum of 10 years of post-doctoral research experience in an academic or industrial R&D setting.
• A distinguished track record of publications in leading scientific journals and successful grant acquisition.
• Extensive hands-on experience with advanced techniques such as CRISPR-Cas9, next-generation sequencing (NGS), mammalian cell culture, protein expression and purification, and various assay development platforms.
• Proven experience in leading and managing research projects and scientific teams.
• Strong understanding of drug discovery and development processes.
• Exceptional analytical, critical thinking, and problem-solving skills.
• Excellent written and verbal communication skills, with the ability to present complex scientific information effectively.
• A strategic mindset with the ability to identify and pursue novel research opportunities.
• Experience in bioinformatics and computational biology is advantageous.

• Designing and implementing advanced genomic research projects, including Next-Generation Sequencing (NGS) experiments.
• Developing and optimizing protocols for DNA/RNA extraction, library preparation, and sequencing.
• Analyzing large-scale genomic datasets using bioinformatics tools and statistical methods.
• Interpreting genomic data to identify disease markers, understand biological pathways, and drive therapeutic insights.
• Managing and maintaining genomic research infrastructure, including sequencing platforms and bioinformatics pipelines.
• Collaborating with internal and external research groups to foster new scientific partnerships.
• Preparing high-impact research publications for peer-reviewed journals and presenting findings at scientific conferences.
• Mentoring and providing technical guidance to junior scientists and research assistants.
• Ensuring strict adherence to all laboratory safety protocols and ethical guidelines.
• Contributing to the development of grant proposals and securing research funding.

• PhD in Genomics, Molecular Biology, Genetics, or a related life science discipline.
• Minimum of 5 years of post-doctoral research experience or equivalent industry experience.
• Extensive hands-on experience with Next-Generation Sequencing (NGS) technologies and associated workflows.
• Proficiency in bioinformatics tools and software for genomic data analysis (e.g., R, Python, Bioconductor).
• Strong understanding of molecular biology techniques and genetic principles.
• Proven ability to design, execute, and interpret complex scientific experiments.
• Excellent analytical and problem-solving skills.
• Strong publication record in reputable peer-reviewed journals.
• Excellent written and verbal communication skills for scientific reporting and presentations.
• Ability to work independently and as a collaborative member of a remote research team.

• Lead independent research projects focused on the discovery and development of biologic drugs (e.g., antibodies, proteins, vaccines).
• Design, optimize, and perform complex in vitro and in vivo experiments.
• Analyze and interpret large datasets, employing advanced statistical methods.
• Develop and implement novel assays and technologies for biological research.
• Author high-impact publications in peer-reviewed journals and present findings at international conferences.
• Mentor and guide junior research scientists and postdoctoral fellows.
• Collaborate effectively with cross-functional teams, including medicinal chemistry, pharmacology, and clinical development.
• Contribute to intellectual property generation and patent applications.
• Ensure adherence to all laboratory safety regulations and ethical guidelines.
• Manage research budgets and resources effectively.
• Stay abreast of the latest scientific advancements and competitive landscape in biologics research.

• PhD in Molecular Biology, Immunology, Biochemistry, or a related life science discipline.
• Minimum of 8 years of post-doctoral research experience in the biopharmaceutical industry or equivalent academic setting, with a strong focus on biologics.
• Demonstrated track record of successfully leading research projects and delivering impactful scientific outcomes.
• Extensive hands-on experience with a wide range of molecular and cellular biology techniques relevant to biologics development.
• Proven expertise in assay development, validation, and characterization of biologic molecules.
• Excellent scientific writing and presentation skills.
• Strong leadership, mentorship, and team collaboration abilities.
• Proficiency in data analysis software (e.g., GraphPad Prism, R).
• Experience with bioinformatics tools is a plus.
• Strong understanding of drug discovery and development processes.

• Lead and direct scientific research projects in biotechnology.
• Design and execute complex experiments and develop novel research methodologies.
• Analyze and interpret sophisticated scientific data to derive meaningful conclusions.
• Contribute to the development of new products, processes, or therapeutic solutions.
• Author scientific manuscripts, patents, and research reports.
• Collaborate with a global network of scientists and research partners.
• Mentor and guide junior researchers, fostering scientific excellence.
• Stay abreast of the latest scientific advancements and emerging technologies.

• PhD in a relevant life science discipline (e.g., Biology, Biochemistry, Molecular Biology, Biotechnology).
• Minimum of 8 years of post-doctoral and industry research experience in biotechnology.
• Proven track record of scientific innovation and achievement, including publications and/or patents.
• Expertise in a specialized area of biotechnology (e.g., molecular biology, genetics, cell biology).
• Strong experience in experimental design, data analysis, and scientific writing.
• Demonstrated leadership skills and experience in managing research projects.
• Excellent communication, collaboration, and problem-solving abilities.
• Ability to work effectively and autonomously in a remote research environment.

• Design, conduct, and interpret complex scientific experiments and research projects within your area of expertise.
• Develop and refine experimental methodologies, ensuring scientific rigor and reproducibility.
• Analyze large and complex datasets using advanced statistical and computational techniques.
• Collaborate with cross-functional teams, including chemists, biologists, physicists, and engineers, to achieve research objectives.
• Prepare and present research findings through written reports, scientific publications, and oral presentations to internal and external stakeholders.
• Contribute to the strategic planning and direction of research programs.
• Maintain detailed and accurate laboratory notebooks and research records.
• Stay abreast of the latest scientific literature, technological advancements, and emerging trends in relevant fields.
• Mentor junior researchers and provide technical guidance and support.
• Ensure compliance with all laboratory safety protocols and ethical guidelines.
• Contribute to patent applications and intellectual property development.
• Assist in the procurement and management of laboratory equipment and supplies.
• Participate in collaborative research initiatives with external partners and academic institutions.

• Ph.D. in Chemistry, Biology, Physics, Materials Science, or a related scientific discipline.
• A minimum of 5 years of post-doctoral or industry research experience, with a strong track record of independent research.
• Proven experience in experimental design, execution, and data analysis.
• Demonstrated expertise in relevant scientific techniques and instrumentation.
• Strong publication record in peer-reviewed scientific journals.
• Excellent analytical, critical thinking, and problem-solving skills.
• Proficiency in data analysis software and statistical packages (e.g., R, Python, SPSS).
• Exceptional written and verbal communication skills, with the ability to clearly articulate complex scientific concepts.
• Experience working in a hybrid or collaborative team environment, with effective remote communication skills.
• Ability to manage multiple research projects concurrently and meet deadlines.
• A proactive, curious, and self-motivated individual with a passion for scientific innovation.
• Familiarity with intellectual property processes and patent applications is a plus.
• Experience in (Specific Area relevant to R&D, e.g., gene editing, nanoparticle synthesis, quantum computing) is highly desirable.