3,805 Researchers jobs in the United Kingdom

Pharmaceutical Market Researchers – Move to Sydney!

Boutique Pharmaceutical Insights Consultancy

Senior Research Exec/ Research Manager/ Associate Director

$ Excellent, according to experience + strong benefits

Sydney, Australia, Hybrid working

If you have 2+ years’ Pharmaceutical/ Healthcare market research experience gained in a UK-based research agency and are up for an Australian adventure, I’m keen to hear from you!

This boutique pharma insights & behaviour change consultancy are looking for researchers who are passionate about understanding human behaviour and are keen to lead diverse, high-impact research.

You’ll work across a full range of therapy areas - respiratory, cancer, dermatology, rare diseases - on projects that will have real behavioural influence, anything from breaking prescribing habits to speeding up the diagnosis of rare diseases.

Sydney based, hybrid, flexible working, a growing team of collaborative sharp minds and an excellent Aus$ salary await!

If you have strong quantitative research skills, some qualitative expertise and pharma/ healthcare research agency experience at Senior Research Executive through to Associate Director level, get in touch!

Full visa support/ sponsorship is available for those with UK Research Agency experience.

To apply or for further information please contact Deborah Lewis, Director, Resources Group on or call .

Applications will only be considered from those based in the UK with current UK working rights.

About Resources Group

With over thirty years’ experience helping thousands of Researchers, Insight Specialists and Data Analysts in their career moves, no one has better knowledge of the Market Research, Insights and Marketing Strategy job market than Resources Group. Our consultants take the time to understand your career aims and are dedicated to providing impartial advice and finding you the best career move, with access to an unrivalled range of opportunities with top employers in the sector - visit our website for many more options!

Resources Group’s Diversity and Equality Policy determines that we submit applicants to our clients on the basis of merit and ability, regardless of race, colour, age, disability, family responsibilities, gender, marital status, nationality, religious or political views or affiliations, sexual orientation or socio-economic background

• Design, perform, and optimize complex experiments in molecular biology and biochemistry.
• Develop and validate new assays and experimental protocols.
• Analyze experimental data using appropriate statistical methods and software.
• Troubleshoot experimental issues and identify solutions.
• Accurately record and meticulously document all experimental procedures and results in electronic lab notebooks.
• Collaborate with project teams, present findings, and contribute to research strategy discussions.
• Maintain laboratory equipment and ensure compliance with safety regulations.
• Stay updated on relevant scientific literature and emerging technologies.
• Contribute to manuscript preparation and patent applications as needed.

• MSc or PhD in Molecular Biology, Biochemistry, Biotechnology, or a related life science discipline.
• Minimum of 5 years of post-graduate research experience in an industrial or academic R&D setting.
• Proven expertise in cell-based assays, molecular cloning, protein expression and purification, or similar relevant techniques.
• Strong understanding of drug discovery and development processes.
• Proficiency in data analysis software (e.g., GraphPad Prism, R).
• Excellent laboratory technique, attention to detail, and record-keeping skills.
• Strong written and verbal communication abilities.
• Ability to work independently and as part of a collaborative team.
• Experience with high-throughput screening (HTS) is a plus.

• Lead the design and execution of complex bioinformatics research projects.
• Develop and implement advanced computational methods and pipelines for 'omics' data analysis.
• Analyze large-scale genomic, transcriptomic, and proteomic datasets.
• Interpret biological findings and translate them into research insights.
• Ensure data quality, integrity, and robust statistical analysis.
• Collaborate effectively with remote scientific teams and stakeholders.
• Manage computational resources and optimize analysis workflows.
• Contribute to scientific publications, grant proposals, and presentations.
• Mentor and guide junior bioinformatics researchers.
• Stay current with cutting-edge bioinformatics tools and techniques.

• Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
• Minimum of 8 years of post-doctoral research experience in bioinformatics.
• Extensive experience with various 'omics' data types and analysis pipelines.
• Proficiency in programming languages such as Python and R, and strong command-line skills.
• Expertise in statistical analysis and machine learning methods relevant to biological data.
• Demonstrated track record of high-impact scientific publications.
• Proven ability to lead research projects and work independently in a remote setting.
• Excellent communication, collaboration, and problem-solving skills.

• Lead and manage key R&D projects in biotechnology.
• Design, execute, and optimize complex experimental protocols.
• Analyze and interpret large, complex datasets using advanced computational tools.
• Develop novel methodologies and technologies to address research questions.
• Collaborate effectively with a remote, multidisciplinary team of scientists and engineers.
• Stay current with scientific literature and emerging trends in biotechnology.
• Troubleshoot complex scientific problems and propose innovative solutions.
• Prepare detailed research reports, presentations, and contribute to publications.
• Mentor junior scientists and foster a collaborative research environment.
• Contribute to the strategic planning and direction of R&D initiatives.

• Ph.D. in Biotechnology, Molecular Biology, Cell Biology, Immunology, Bioinformatics, or a related field.
• A minimum of 7 years of post-doctoral or industry R&D experience.
• Demonstrated expertise in a specialized area of biotechnology with a strong publication record.
• Proven experience in leading research projects and mentoring scientific staff.
• Proficiency in advanced data analysis techniques and relevant software (e.g., R, Python, specific bioinformatics tools).
• Excellent problem-solving skills and scientific creativity.
• Exceptional written and verbal communication skills for effective remote collaboration.
• Ability to work independently, manage time effectively, and maintain high productivity in a remote setting.
• Experience with grant writing or proposal development is a plus.
• A passion for scientific discovery and innovation.

• Lead the design and execution of data-driven research projects, collaborating with cross-functional scientific teams.
• Develop and implement advanced statistical models, machine learning algorithms, and data mining techniques to analyze large, complex scientific datasets.
• Identify, gather, and preprocess relevant data from various sources, ensuring data integrity and quality.
• Visualize and interpret complex data patterns, providing clear and insightful conclusions to scientific stakeholders.
• Develop predictive models and simulations to forecast research outcomes and guide experimental design.
• Stay abreast of the latest advancements in data science, machine learning, artificial intelligence, and relevant scientific fields.
• Mentor and guide junior data scientists and researchers within the remote team.
• Contribute to the development of research proposals and grant applications.
• Ensure all research activities and data handling comply with relevant ethical guidelines and regulations.
• Present research findings at scientific conferences and through publications.

• Ph.D. or Master's degree in a quantitative field such as Computer Science, Statistics, Physics, Bioinformatics, or a related scientific discipline.
• Minimum of 7 years of experience in data science, applied statistics, or scientific research involving complex data analysis.
• Proficiency in programming languages like Python (with libraries such as Pandas, NumPy, Scikit-learn) or R.
• Experience with machine learning algorithms, deep learning, and statistical modeling techniques.
• Familiarity with database technologies (SQL, NoSQL) and big data platforms.
• Excellent understanding of scientific research principles and experimental design.
• Strong written and verbal communication skills, with the ability to present complex findings clearly.
• Demonstrated ability to work independently and lead remote research initiatives.

The Role and Department   
The Department of Physics at Durham University is one of the top UK Physics departments with an outstanding reputation for excellence in teaching, research, and employability of our students. Ranked in the top 10 in REF2022 in terms of power, 96% of Durham Physics research was considered either to be of "internationally excellent quality" or "world leading".

The post holder will be responsible for learning and assisting with the day-to-day technical functions and operations in the Department of Physics, providing technical and engineering related assistance from within the technical team.

The post holder will be required to undertake formal training within the Teaching and Research Laboratories of the Department with an opportunity to gain further skills from placement within the Electronic Engineering and Mechanical Engineering workshops in order to provide technical assistance to support all teaching and research activities conducted within the Department.

In addition, the post holder will be required to follow an approved apprenticeship training framework from either a Laboratory Technician or a Mechanical / Electronic Engineering discipline delivered by an external provider.

Further information about the role and the responsibilities is at the bottom of this job description.   

• Assist senior analysts in collecting and cleaning large datasets from various sources.
• Perform data extraction, transformation, and loading (ETL) processes under guidance.
• Conduct exploratory data analysis to identify trends, patterns, and insights.
• Develop and create clear and concise data visualizations and reports to communicate findings.
• Support the development and testing of analytical models.
• Learn and apply statistical methods and techniques relevant to data analysis.
• Collaborate with team members to understand project requirements and contribute to solutions.
• Maintain accurate documentation of data processes and analytical methodologies.
• Participate in team meetings and training sessions to enhance technical and analytical skills.
• Contribute to ad-hoc data analysis requests as needed.

• A recent graduate (within the last 2 years) with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Physics, or a related discipline.
• Strong analytical and problem-solving abilities.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
• Familiarity with SQL for database querying.
• An understanding of statistical concepts and data modelling principles.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work effectively both independently and as part of a team.
• Eagerness to learn and adapt to new technologies and methodologies.
• Previous internship or project experience in data analysis is a plus.

• Responsible for data analysis, entry and Validation related activities across the Pirbright manufacturing facility, to enable the large scale production of FMD and BTV antigen and finished product in a timely and cost effective manner.
• Analyse production data to identify trends, deviations, and performance metrics.
• Assist in the execution of cleaning validation protocols in line with GMP requirements.
• Bring in SQL / Power BI approaches to improve the site approach to data.
• Support sampling, documentation, and coordination of validation activities.

• GMP experience is essential
• Have a scientific or engineering discipline degree (e.g., Biochemistry, Biotechnology, Chemical Engineering, Pharmaceutical Sciences).
• Understanding of cleaning validation principles and documentation practices.
• Experience with data handling and analytics
• Knowledge of HSE, bio-safety standards, GMP regulations as well as main tools and principles of operational excellence