Total 63 Science / R&D / Research job vacancies in Billingham, County Durham

The Role and Department

The Department of Biosciences is composed of 62 academic staff and research fellows; around 50 research and technical support staff; over 90 Research Postgraduate students and over 500 Single Honours undergraduate students, and also teaches students from the Natural Sciences programme. The Department is committed to an ethos of research-led teaching at both BSc and MBiol levels, and was ranked 5th in the UK for Biological Sciences Departments in the Complete University Guide 2024.

Our basic science underpins applications across each-and-every sector of the bio-economy, including Biotechnology, Ecology and Agritechnology. Research programmes are grouped in the following areas: Molecular Plant Sciences; Biomolecular Interactions; Ecology, Evolution and Environment; and Animal Cells and Systems. These groups organise focused seminar series, Research Away Days, manage joint research facilities, oversee mentoring, internal peer review and serve to nucleate larger research projects. Along with our excellent research facilities such as bioimaging, proteomics, metabolomics and genomics we offer a high quality and supportive environment for our research staff.

The Dept. of Biosciences partners with other areas of research strength in Durham University including Computational Sciences and Chemistry, and encourages multidisciplinary research for Health and Wellbeing. Durham University was listed in the Times Higher World Top 50 Life Science Challengers (July 2017).

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• Performs analyses and develops reports on biomedical, scientific, and health policy issues.
• Performs quantitative and qualitative data analysis as well as literature reviews and prepares reports for presentation to leadership, professional and scientific organizations, and journals.
• Maintains awareness of scientific advances and legislative developments regarding the national health status and issues having implications for current and planned health research and research training programs.
• Prepares background materials for senior staff that capture the current state of knowledge in scientific and policy-areas, and provides staff support for special science policy, research program planning, or evaluation.

The Departments of Computer Science and Law at Durham University seeks to appoint a talented individual to the role of Assistant Professor. This is a permanent position. We are seeking a talented researcher with expertise in AI and Natural Language Processing (NLP), particularly with a focus on AI and NLP applications in legal compliance control.

This post offers an exciting opportunity to make an important contribution to the development of research in Computer Science (https://www.durham.ac.uk/departments/academic/computer-science/) and Law (https://www.durham.ac.uk/departments/academic/law/research/). It supports the newly founded JusTN0W initiative (https://www.durham.ac.uk/research/institutes-and-centres/csdlp/justn0w/), which takes place within the Centre for Sustainable Development Law and Policy (https://www.durham.ac.uk/research/institutes-and-centres/csdlp/). JusTN0W aims to develop a world-leading interdisciplinary work programme, to research sustainable and just solutions for accelerated decarbonisation of economies. The university has committed to invest £5M over four years in this groundbreaking project.

The successful candidate will play a leading role in the development of this new initiative, dedicating the first four years primarily to this work. They will benefit from a reduced teaching load and a startup travel budget to support high-quality research, grant applications, and initiatives to engage other staff in JusTN0W-related opportunities. After four years, the appointment will be reviewed based on grant income and may transition to a primarily research role or an Education and Research Track position with a standard teaching load.

This post offers an exciting opportunity to make a major contribution to the development of internationally

excellent research and teaching while allowing you unrivalled opportunities to progress and embed your career

in an exciting and progressive institution. For more information, please visit our Department pages

at https://www.durham.ac.uk/departments/academic/computer-science/

and https://www.durham.ac.uk/departments/academic/law/

The Department of Computer Science is one of the UK's leading Computer Science departments, with an outstanding reputation in research, teaching, and student employability. Our internationally recognised research covers Algorithms and Complexity, Artificial Intelligence and Human Systems, Networks, Scientific Computing and Vision, Imaging and Visualisation. There is a lively research culture with many visitors and events, and collaborations locally, nationally and internationally. In the recent UK research assessment exercise REF2021 we improved by six places in the ranking. The Department has recently grown rapidly, and now has more than 50 permanent members of academic staff. The Department has a proud tradition of excellence in its undergraduate and postgraduate programmes. The Department holds an Athena SWAN Silver award.

Durham Law School is a leading law school. Consistently ranked in the Top 10 nationally and Top 50 globally, it comprises a community of over 100 academics and professional support staff. It has an infrastructure of high-profile research centres that brings together colleagues for collaborative projects.  The School has an extensive network of leading international partner institutions and close ties with the City of London and the Inns of Court. Our top-ranked global law courses are very competitive with an excellent and diverse student population from across the world delivering a cutting-edge, research-led curriculum. Our Law School is also proud to hold the Athena Swan Bronze award. Athena SWAN is a national initiative that recognises the advancement of gender equality, representation, progression and success for all in academia.

The role is full-time, but we will consider requests for flexible working arrangements including potential job

shares.

Proud member of the Disability Confident employer scheme

• Write and edit programs (R, SAS, SQL, or Python) to query relational database, organize and analyze data from IMPACII or other relational database.
• Share programming code (R, SAS, SQL or Python), document steps of analysis and collaborate with team to ensure transparent and reproducible results.
• Investigate and provide collaborative feedback to team and leadership in understanding and editing programs (R, SAS, SQL or Python) for data anomalies, data integrity, nuances and other unexpected patterns in the data.
• Apply statistical techniques, models and tests to gain insight into the data and inform direction of subsequent analysis and explanation of significance of differences observed in the data.
• Write narrative explanations and interpretations of data findings, results and create summaries of the data as part of larger comprehensive analysis.
• Utilize scientific research methodologies and approaches to develop testable hypotheses to answer questions pertaining to scientific portfolio analyses for program staff and leadership.

Four positions are anticipated to be filled from this Job Opportunity Announcement:

• One position will be filled at the GS 05 grade level, with an annual salary range of $42,151 - $54,793 per year.
• One position will be filled at the GS 06 grade level, with an annual salary range of $46,987 - $61,085 per year.
• One position will be filled at the GS 07 grade level, with an annual salary range of $52,214 - $67,880 per year.
• One position will be filled at the GS 08 grade level, with an annual salary range of $57,824 - $75,170 per year.

Works on both animals and cell culture based models using a variety of cellular physiology and molecular biology methods including FACS, ELISA, immunoblotting, microscopy, RT-PCR, and gene expression arrays.

Perform a variety of complex technical duties involved in conducting physical, chemical, biological and other research laboratory tests, experiments and determinations to obtain data for research purposes; compile, analyze, document and draw tentative conclusions from experimental results.

Confer with principal investigator to review work assignments and develop plans for research experiments; make minor modifications to existing laboratory procedures and techniques to meet the needs of the particular equipment as required.

Review laboratory methods manual, scientific journals, abstracts and other literature for information applicable to research experiments.

Work Schedule: Full-time (Without Compensation)

• Developing, implementing, and managing key procedures/aspects of the protocol within the scientific scope defined.
• Facilitating, coaching, and planning techniques to lead clinical research within the NICHD, Office of the Clinical Director.
• Independently evaluating critical feasibility issues such as those related to patient-population availability and recruitment, availability of resources.
• Coordinating and implementing clinical research protocols, including protocol development and implementation, patient recruitment, patient enrollment, data collection and organization, data analysis, safety monitoring.
• Ensuring compliance with protocol requirements to maintain data integrity; and supporting ongoing research and clinical programs at NIA.

• Contributes to a range of staff functions involving planning, policy development, and analysis necessary for key policy and program decisions by the division leadership.
• Develops reports and other staff documents on policies, programs, plans, research accomplishments, and other activities.
• Maintains awareness of scientific and legislative developments and issues having implications for current and planned health, social science, and/or bioethics research and research training programs.
• Consults with a wide range of individuals who are involved in scientific research to identify major issues, roadblocks, and potential actions necessary for policy development and interpretation.

• Contributes to a range of staff functions involving planning, policy development, and analysis necessary for key policy and program decisions by the division leadership.
• Develops reports and other staff documents on policies, programs, plans, research accomplishments, and other activities.
• Maintains awareness of scientific and legislative developments and issues having implications for current and planned health, social science, and/or bioethics research and research training programs.
• Consults with a wide range of individuals who are involved in scientific research to identify major issues, roadblocks, and potential actions necessary for policy development and interpretation.

As a PDRA on this project, the successful applicant will be required to develop relative sea-level reconstructions over the past few hundred years from salt-marshes in Greenland using diatoms as the main proxy, alongside XRF and other stratigraphic methods. These reconstructions will be compared to relative sea-level predictions from new Greenland-wide models of ice sheet change developed by collaborators on the project from Lincoln and Northumbria Universities. The main responsibilities will be to develop new modern and fossil diatom datasets from Greenland saltmarshes and statistical and chronological models that allow quantitative relative sea-level reconstructions from sites around the west coast of Greenland. A further responsibility will be to write applications for radiocarbon dating support, to prepare data, figures and text for publication and to communicate the interim and final findings of the research at collaborator workshops and international science meetings.

This is a great opportunity to work as part of a friendly team on a cutting-edge project. The PDRA will have access to outstanding resources including laboratory and microscope facilities and travel funding for conferences and collaboration.

The successful candidate will have extensive experience in developing relative sea-level reconstructions using diatom data and application of quantitative methods of RSL reconstruction. Previous experience working in salt-marshes would be an advantage.

Proud member of the Disability Confident employer scheme

The Role and Department  

ARC's mission is to deliver a coherent strategy for the computational support of research: enabling research and innovation to be at the forefront of computational practice; enabling academic leadership through the adoption and evolution of leading technology; fostering associated expertise; and enhancing interdisciplinary collaborations. Leading-edge platforms including High Performance Computing, computational and cutting-edge data analytics methods, and growth and retention of vital capacity in research software engineering and technical R&D are at the core of this endeavour.

We organise our activity under three main pillars:

1. Research Computing Platforms

2. Research Software Engineering

3. Developing researcher computational skills

Which is delivered by the Administration, Research Computing Platforms (RCP) and Research Software Engineering (RSE) teams

The Research Computing Platforms (RCP) team provides facilities, training and support for people, across the University, engaged in computationally demanding research. Join us and:

Provide HPC & Cloud facilities and support the people who use them to:

· Run large- or small-scale simulations, data analyses and machine learning workloads

· Have the capability to tackle problems difficult or impossible to achieve on most desktops or laptops

· Exploit the capacity to run many tasks at the same time

Create strong collegiate relationships with academics and combine technical knowledge with the needs of different research domains to develop, improve and maintain services designed to optimise researcher time to solution by making services that:

· Are stable and secure

· Are easy to use, featureful and flexible in response to changing needs

· Deliver fast and predictable performance

Share specialist knowledge to colleagues within the research community, consultation and ensure effective knowledge transfer both across the institution and represent the University externally on matters of expertise.

Contribute to both local and regional/national services, such as the Hamilton HPC system, our experimental Mosaic research cloud and the EPSRC tier-2 HPC system "Bede", working with teams in Computing and Information Services (CIS), Estates and/or external providers as appropriate.

We are a support unit that spans all Faculties across the University and encourage applications from experienced individuals from a diverse range of domains.

Proud member of the Disability Confident employer scheme