2,321 Network Analysis jobs in the United Kingdom
Senior Consultant, HEOR (Evidence Evaluation & Network Meta-analysis)
London, London
Parexel
Posted 10 days ago
Job Viewed
Job Description
**Summary of This Role:-**
This Senior Consultant;
* leads and oversees complex evidence evaluation and network meta-analysis (NMA) projects, ensuring the use of robust methodologies and high-quality outputs.
* provides statistical capabilities and methodological leadership throughout all project stages, from planning to completion.
* leverages his/her expertise in evidence synthesis, systematic review methodologies, and advanced statistical techniques to design, develop, and deliver client solutions.
* applies proficiency in statistical theory, data analysis and interpretation, regression analysis, and various statistical software tools (such as WinBugs, R, Stata, Python, and SAS) to drive project success.
This role requires a Master's or Doctoral Degree in Health Economics, Health Policy, Statistics, Biostatistics, Mathematics, or other related quantitative fields.
**Knowledge and Experience** :
+ Training and extensive experience in health economics, including the conceptualization and development of systematic literature reviews and network meta-analyses (8+ years, ideally in a consultancy environment)
+ Strong basis in fundamental statistical concepts and methods and familiarity with techniques such as the development of predictive equations, survival analysis (including parametric methods), longitudinal data analysis, meta-analysis, mixed treatment comparison, and other hierarchical analysis techniques
+ Familiarity with machine learning techniques and Bayesian statistics is a plus
+ Strong communication (spoken and written) and problem-solving skills, and an ability to learn quickly
+ Ability to communicate effectively, in non-technical terms, with project team members and clients
+ Experience in managing projects and leading/coaching a project team
+ Keen interest in medical research, provision of healthcare, and the pharmaceutical industry
**Skills:**
+ Strong computing skills (MS Office), including MS Excel
+ High analytical ability
+ Excellent scientific, business writing, and presentation skills with close attention to detail
+ Ability to work under pressure to meet multiple and sometimes competing deadlines
+ Exceptional communication skills, both oral and in writing, especially in the relaying of technical information and what is essential and strategic to the client
+ Self-motivation, enthusiasm, ambition, and flexibility
+ Competent in written and spoken English
+ Software: SAS (Base, Stat, Graph, Macro), R, SPSS, STATA, and WinBUGS; Python is a plus
**Education**
+ Master's degree or equivalent in either life science or a quantitative discipline, such as health economics, economics, mathematics, or statistics
EEO Disclaimer
Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
This Senior Consultant;
* leads and oversees complex evidence evaluation and network meta-analysis (NMA) projects, ensuring the use of robust methodologies and high-quality outputs.
* provides statistical capabilities and methodological leadership throughout all project stages, from planning to completion.
* leverages his/her expertise in evidence synthesis, systematic review methodologies, and advanced statistical techniques to design, develop, and deliver client solutions.
* applies proficiency in statistical theory, data analysis and interpretation, regression analysis, and various statistical software tools (such as WinBugs, R, Stata, Python, and SAS) to drive project success.
This role requires a Master's or Doctoral Degree in Health Economics, Health Policy, Statistics, Biostatistics, Mathematics, or other related quantitative fields.
**Knowledge and Experience** :
+ Training and extensive experience in health economics, including the conceptualization and development of systematic literature reviews and network meta-analyses (8+ years, ideally in a consultancy environment)
+ Strong basis in fundamental statistical concepts and methods and familiarity with techniques such as the development of predictive equations, survival analysis (including parametric methods), longitudinal data analysis, meta-analysis, mixed treatment comparison, and other hierarchical analysis techniques
+ Familiarity with machine learning techniques and Bayesian statistics is a plus
+ Strong communication (spoken and written) and problem-solving skills, and an ability to learn quickly
+ Ability to communicate effectively, in non-technical terms, with project team members and clients
+ Experience in managing projects and leading/coaching a project team
+ Keen interest in medical research, provision of healthcare, and the pharmaceutical industry
**Skills:**
+ Strong computing skills (MS Office), including MS Excel
+ High analytical ability
+ Excellent scientific, business writing, and presentation skills with close attention to detail
+ Ability to work under pressure to meet multiple and sometimes competing deadlines
+ Exceptional communication skills, both oral and in writing, especially in the relaying of technical information and what is essential and strategic to the client
+ Self-motivation, enthusiasm, ambition, and flexibility
+ Competent in written and spoken English
+ Software: SAS (Base, Stat, Graph, Macro), R, SPSS, STATA, and WinBUGS; Python is a plus
**Education**
+ Master's degree or equivalent in either life science or a quantitative discipline, such as health economics, economics, mathematics, or statistics
EEO Disclaimer
Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
This advertiser has chosen not to accept applicants from your region.
0
Geologist - Remote Data Analysis
CV1 2DH Coventry, West Midlands
£50000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client, a leading entity in the mining sector, is seeking a highly skilled and experienced Geologist to join their team in Coventry, West Midlands, UK . This role is critical for analysing geological data from various mining sites, supporting exploration, resource estimation, and operational planning. The ideal candidate will have a strong background in geological interpretation, data analysis, and possess excellent technical proficiency. While this role is office-based, it offers significant opportunities for professional growth and impact within the industry.
Responsibilities:
Responsibilities:
- Interpret geological data from exploration drilling, geophysical surveys, and outcrop mapping.
- Develop and refine 3D geological models using specialized software.
- Assist in resource and reserve estimation, applying industry-standard methodologies.
- Evaluate geological risks and opportunities associated with mining projects.
- Collaborate with mine engineers, geophysicists, and other geoscientists to optimize mine planning and operations.
- Prepare geological reports, technical memorandums, and presentations for internal and external stakeholders.
- Conduct site visits for project oversight, data verification, and geological assessment (frequency to be determined).
- Ensure compliance with relevant geological standards and best practices.
- Stay updated on advancements in geological modelling software and techniques.
- Contribute to the development of exploration strategies and target generation.
- Review and validate geological data quality from various sources.
- Assist in the geological due diligence process for potential acquisitions or investments.
- Bachelor's or Master's degree in Geology, Earth Science, or a related discipline.
- Significant professional experience in exploration or mining geology.
- Proficiency in geological modelling software (e.g., Leapfrog, Micromine, Vulcan).
- Strong understanding of structural geology, stratigraphy, and mineral deposit types.
- Experience with data analysis, statistical methods, and geological databases.
- Excellent written and verbal communication skills.
- Ability to interpret complex geological information and present it clearly.
- Experience in mineral resource estimation is highly desirable.
- Knowledge of geophysical methods and their application in mining is a plus.
- Must be eligible to work in the UK and willing to undertake occasional site visits.
This advertiser has chosen not to accept applicants from your region.
1
Senior Geologist - Data Analysis
OX1 1AA Oxford, South East
£50000 Annually
WhatJobs
Posted 16 days ago
Job Viewed
Job Description
Our client, a leading firm in the mining sector, is looking for a Senior Geologist specializing in data analysis to join their innovative team. This role will be based in **Oxford, Oxfordshire, UK**, with a hybrid work arrangement offering a balance between in-office collaboration and remote flexibility. You will be instrumental in collecting, interpreting, and modelling geological data from exploration sites, helping to identify potential mineral resources and optimize extraction strategies. Your expertise will be critical in utilizing advanced software and techniques to analyze large datasets, including geophysical surveys, core samples, and geochemical analyses.
The responsibilities include developing geological models, assessing resource potential, and preparing detailed technical reports for internal stakeholders and regulatory bodies. You will collaborate closely with exploration teams, mining engineers, and data scientists to ensure geological insights are integrated into all stages of the mining lifecycle. A strong understanding of geological principles, statistical analysis, and geological software (e.g., Leapfrog, ArcGIS, Vulcan) is essential. The ideal candidate will have excellent problem-solving skills, a meticulous approach to data handling, and the ability to communicate complex geological information clearly and concisely. This is a fantastic opportunity for a seasoned geologist to contribute to significant projects and advance their career within a respected organization.
Key Responsibilities:
The responsibilities include developing geological models, assessing resource potential, and preparing detailed technical reports for internal stakeholders and regulatory bodies. You will collaborate closely with exploration teams, mining engineers, and data scientists to ensure geological insights are integrated into all stages of the mining lifecycle. A strong understanding of geological principles, statistical analysis, and geological software (e.g., Leapfrog, ArcGIS, Vulcan) is essential. The ideal candidate will have excellent problem-solving skills, a meticulous approach to data handling, and the ability to communicate complex geological information clearly and concisely. This is a fantastic opportunity for a seasoned geologist to contribute to significant projects and advance their career within a respected organization.
Key Responsibilities:
- Analyze and interpret geological and geophysical data.
- Develop and refine 3D geological models.
- Conduct resource estimation and geological risk assessments.
- Prepare comprehensive technical reports and presentations.
- Collaborate with exploration and mining engineering teams.
- Utilize advanced geological software for data processing and visualization.
- Advise on exploration strategies and target definition.
- Ensure data quality and integrity throughout projects.
- Stay updated on the latest geological techniques and technologies.
- Contribute to the company's overall resource management strategy.
- MSc or PhD in Geology, Geophysics, or a related field.
- Significant experience in geological data analysis and modelling.
- Proficiency in geological software packages (e.g., Leapfrog, ArcGIS, Vulcan).
- Strong statistical analysis and quantitative skills.
- Experience in mineral resource estimation.
- Excellent written and verbal communication skills.
- Ability to work effectively in a hybrid environment.
- Strong problem-solving and critical thinking abilities.
- Familiarity with exploration and mining processes.
This advertiser has chosen not to accept applicants from your region.
2
Graduate Trainee - Data Analysis
OX1 1AA Oxford, South East
£25000 Annually
WhatJobs
Posted 16 days ago
Job Viewed
Job Description
Our client is seeking bright and ambitious Graduate Trainees to join their Data Analysis team. This is an excellent opportunity for recent graduates to launch their careers in a dynamic and data-driven environment located in Oxford, Oxfordshire, UK . The program offers comprehensive training, mentorship, and hands-on experience in various aspects of data analysis, interpretation, and visualisation. This hybrid role will involve a mix of in-office learning and collaborative activities, along with remote work, allowing for flexibility and exposure to modern work practices.
Key Responsibilities:
Key Responsibilities:
- Assist in collecting, cleaning, and organising large datasets from various sources.
- Perform preliminary data analysis using statistical methods and software tools.
- Support senior analysts in generating reports, dashboards, and visualisations to communicate findings.
- Learn and apply data mining techniques to identify trends, patterns, and insights.
- Contribute to the development of data models and analytical frameworks.
- Collaborate with team members on projects, participating in brainstorming sessions and problem-solving activities.
- Assist in documenting data sources, methodologies, and analytical processes.
- Gain exposure to various data analysis tools and technologies (e.g., SQL, Python, R, Tableau).
- Participate in training sessions and workshops to enhance technical and analytical skills.
- Provide support for ad-hoc data requests and analysis as needed.
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Mathematics, Statistics, Economics, Computer Science, or a related discipline.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with or willingness to learn data manipulation and analysis tools (e.g., Excel, SQL).
- Excellent communication and interpersonal skills.
- Ability to work both independently and as part of a team.
- Proactive attitude and eagerness to learn and develop new skills.
- Eligibility to work in the UK.
- Comfortable working in a hybrid work environment.
This advertiser has chosen not to accept applicants from your region.
3
Advanced Apprentice - Data Analysis
OX1 1BB Oxford, South East
£22000 Annually
WhatJobs
Posted 23 days ago
Job Viewed
Job Description
Are you passionate about uncovering insights from data and eager to kickstart your career in a fast-paced, innovative environment? Our client, a forward-thinking organisation, is offering a unique Advanced Apprenticeship opportunity in Data Analysis, based in the historic city of Oxford, Oxfordshire, UK . This programme is meticulously designed for ambitious individuals who are looking to gain hands-on experience and formal qualifications while contributing to meaningful projects.
This apprenticeship will provide comprehensive training in data manipulation, analysis, visualization, and reporting. You will work alongside experienced data professionals, learning industry-standard tools and techniques. Your contributions will directly support business intelligence efforts, helping to shape strategic decisions through data-driven recommendations.
What you will learn and do:
This apprenticeship will provide comprehensive training in data manipulation, analysis, visualization, and reporting. You will work alongside experienced data professionals, learning industry-standard tools and techniques. Your contributions will directly support business intelligence efforts, helping to shape strategic decisions through data-driven recommendations.
What you will learn and do:
- Assist in the collection, cleaning, and preprocessing of diverse datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Develop reports and dashboards using data visualization tools to present findings clearly and concisely.
- Support the team in designing and implementing data quality checks and validation processes.
- Gain exposure to statistical modeling and predictive analytics concepts.
- Learn to use programming languages such as Python or R for data manipulation and analysis.
- Understand database concepts and SQL for data extraction.
- Collaborate with different departments to understand their data needs and provide analytical support.
- Contribute to the continuous improvement of data processes and methodologies.
- Undertake a structured learning program leading to a recognised qualification in Data Analysis.
- A strong interest in data, analytics, and technology.
- A minimum of 5 GCSEs at Grade C/4 or above, including Maths and English, or equivalent.
- Excellent problem-solving abilities and a keen eye for detail.
- Good communication and teamwork skills.
- A proactive attitude and a willingness to learn.
- Basic understanding of Excel or similar spreadsheet software is advantageous.
This advertiser has chosen not to accept applicants from your region.
4
Agronomist - Remote Data Analysis
BT1 1AA Belfast, Northern Ireland
£45000 Annually
WhatJobs
Posted 24 days ago
Job Viewed
Job Description
Our client, a leader in sustainable agricultural technology, is actively seeking a highly skilled and innovative Agronomist to join their fully remote team. This unique role focuses on the analysis of large-scale agricultural data to provide actionable insights and recommendations for optimizing crop yields, improving soil health, and enhancing farming practices. You will leverage cutting-edge data analytics tools and collaborate virtually with a global network of researchers, farmers, and agricultural specialists. This is an exceptional opportunity for an experienced agronomist with a passion for data-driven agriculture and a proven ability to excel in a remote work environment. The successful candidate will contribute to shaping the future of farming.
Key Responsibilities:
Key Responsibilities:
- Analyze vast datasets from various sources, including soil sensors, weather stations, satellite imagery, and farm management software.
- Develop predictive models for crop growth, disease outbreaks, and pest infestations.
- Provide data-driven recommendations to farmers and agricultural businesses on planting schedules, fertilization, irrigation, and pest/disease management strategies.
- Interpret complex agricultural data and translate it into clear, concise, and actionable reports and presentations for diverse audiences.
- Collaborate with the R&D team to improve data collection methodologies and analytical tools.
- Stay current with advancements in agricultural science, data analytics, and precision farming technologies.
- Contribute to the development of best practices for sustainable agriculture through data analysis.
- Assist in the design and execution of field trials to validate analytical models and recommendations.
- Troubleshoot data quality issues and implement data cleansing procedures.
- Communicate effectively with clients and internal teams through virtual channels.
- A Master's degree or Ph.D. in Agronomy, Crop Science, Agricultural Science, or a closely related field.
- A strong background in data analysis, statistical modelling, and the use of agricultural data platforms/software.
- Proficiency in data analysis tools such as R, Python, or similar programming languages.
- Experience with GIS software and remote sensing data interpretation.
- Knowledge of various crop types and agricultural systems.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to convey technical information effectively.
- Proven ability to work independently, manage projects, and deliver results in a remote setting.
- Experience in a client-facing role or providing advisory services is a plus.
- A passion for sustainable agriculture and technological innovation.
This advertiser has chosen not to accept applicants from your region.
5
Senior Bioinformatician - Omics Data Analysis
CV3 4AE Coventry, West Midlands
£65000 Annually
WhatJobs
Posted today
Job Viewed
Job Description
Our client, a leading research institution focused on groundbreaking biological discoveries, is seeking a highly skilled and experienced Senior Bioinformatician to join their dynamic team in Coventry, West Midlands, UK . This role offers a hybrid working model, allowing for a balance between on-site collaboration and remote flexibility.
The successful candidate will play a pivotal role in analyzing complex biological datasets, particularly in the realm of genomics, transcriptomics, and proteomics. You will be responsible for developing and implementing cutting-edge bioinformatics pipelines, performing statistical analyses, and interpreting results to drive scientific inquiry. This position requires a deep understanding of computational biology, strong programming skills, and the ability to work independently as well as collaboratively with a multidisciplinary team of biologists, chemists, and data scientists.
Responsibilities:
The successful candidate will play a pivotal role in analyzing complex biological datasets, particularly in the realm of genomics, transcriptomics, and proteomics. You will be responsible for developing and implementing cutting-edge bioinformatics pipelines, performing statistical analyses, and interpreting results to drive scientific inquiry. This position requires a deep understanding of computational biology, strong programming skills, and the ability to work independently as well as collaboratively with a multidisciplinary team of biologists, chemists, and data scientists.
Responsibilities:
- Design, develop, and optimize bioinformatics workflows for large-scale omics data analysis.
- Perform rigorous statistical analysis and interpretation of high-throughput sequencing data.
- Collaborate with experimental teams to define research questions and design appropriate analytical approaches.
- Develop and maintain databases and repositories for biological data.
- Implement machine learning algorithms for pattern recognition and predictive modeling in biological systems.
- Generate clear and concise reports, presentations, and publications to disseminate research findings.
- Mentor junior bioinformaticians and contribute to the team's technical growth.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and relevant biological fields.
- Ensure data integrity, reproducibility, and adherence to best practices in data management and analysis.
- PhD or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- A minimum of 5 years of relevant post-graduate experience in bioinformatics or computational biology.
- Proficiency in programming languages such as Python and R, and experience with relevant bioinformatics libraries and packages.
- Demonstrated experience with command-line interfaces and high-performance computing environments.
- Solid understanding of statistical methods and their application to biological data.
- Experience with major omics data types (e.g., RNA-Seq, ChIP-Seq, WGS, proteomics) and their associated analysis tools.
- Excellent problem-solving skills and a meticulous attention to detail.
- Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-expert audiences.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- Previous experience in a hybrid work environment is advantageous.
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6
Advanced Apprenticeship in Data Analysis
NR1 1LU Norwich, Eastern
£18000 annum (appr
WhatJobs
Posted 1 day ago
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Job Description
Our client is offering an exceptional Advanced Apprenticeship in Data Analysis, providing a fantastic opportunity for motivated individuals to kick-start their career in a high-demand field. Based in Norwich, Norfolk, UK , this program combines structured on-the-job training with formal education, allowing apprentices to gain invaluable practical experience and a recognized qualification. You will work alongside experienced data professionals, contributing to real-world projects and developing essential analytical skills.
Program Overview:
Ideal Candidate Profile:
This hybrid apprenticeship, located in Norwich, Norfolk, UK , offers a structured pathway to a rewarding career in data analysis, blending practical experience with academic learning.
Program Overview:
- Gain hands-on experience in collecting, cleaning, transforming, and analyzing data from various sources.
- Learn to use industry-standard tools and software for data manipulation, visualization, and reporting.
- Assist in the development of dashboards and reports to communicate key insights.
- Support senior analysts in identifying trends, patterns, and anomalies in data.
- Understand data governance principles and best practices for data management.
- Receive comprehensive training and mentorship from experienced professionals.
- Undertake a structured learning program leading to a recognized qualification in Data Analysis (e.g., Level 3 or 4).
- Work on diverse projects across different business areas, providing broad exposure.
- Develop critical thinking, problem-solving, and communication skills.
Ideal Candidate Profile:
- A minimum of 5 GCSEs at grades 9-4 (A*-C) or equivalent, including Maths and English, or a Level 2 qualification in a related subject.
- A genuine interest in data, technology, and analytical problem-solving.
- Strong attention to detail and a methodical approach to tasks.
- Good communication skills, both written and verbal.
- Ability to work effectively as part of a team.
- Enthusiasm for learning and developing new skills.
- Basic understanding of Excel or other spreadsheet software is beneficial but not essential.
- Candidates must be aged 16 or over and not currently in full-time education.
This hybrid apprenticeship, located in Norwich, Norfolk, UK , offers a structured pathway to a rewarding career in data analysis, blending practical experience with academic learning.
This advertiser has chosen not to accept applicants from your region.
7
Senior Geologist - Remote Data Analysis
OX1 1AA Oxford, South East
£55000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client, a leading entity in the mining sector, is seeking a highly skilled Senior Geologist with expertise in geological data analysis and interpretation. This role offers a hybrid work arrangement, combining remote data processing with occasional on-site collaboration.
The Senior Geologist will be responsible for analysing vast datasets of geological information, including seismic surveys, core samples, and geophysical logs, to identify potential mineral deposits and evaluate their economic viability. You will employ advanced software and methodologies to model subsurface structures, predict resource distribution, and assess geological risks associated with exploration and extraction activities. This involves developing detailed geological reports, creating maps, and contributing to strategic exploration planning.
A critical aspect of this role is collaborating with exploration teams, geophysicists, and mining engineers to integrate geological findings into broader project strategies. You will provide expert geological advice, support decision-making processes, and ensure that exploration and development activities are conducted with a thorough understanding of the geological context. The ability to interpret complex geological phenomena and communicate findings clearly to both technical and non-technical audiences is paramount. Your work will directly influence the success of our client's exploration ventures.
We are looking for individuals with a strong academic background in geology or a related earth science, coupled with extensive practical experience in mineral exploration or mining geology. Proficiency in geological modelling software (e.g., Leapfrog, Vulcan, ArcGIS) and data analysis tools is essential. Excellent problem-solving skills, a keen eye for detail, and the ability to work effectively in both independent remote settings and collaborative team environments are required. Understanding of relevant geological software and data management systems is key. The hybrid nature of this role necessitates good organisational skills and the ability to travel occasionally to our client's operational sites.
If you are a seasoned geologist looking to apply your analytical skills to challenging mining projects, and you are comfortable with a hybrid working model, we encourage you to explore this exciting opportunity.
Location: This is a hybrid role, with the flexibility of remote work and the requirement for occasional on-site visits. The primary office hub is located near Oxford, Oxfordshire, UK .
Responsibilities:
The Senior Geologist will be responsible for analysing vast datasets of geological information, including seismic surveys, core samples, and geophysical logs, to identify potential mineral deposits and evaluate their economic viability. You will employ advanced software and methodologies to model subsurface structures, predict resource distribution, and assess geological risks associated with exploration and extraction activities. This involves developing detailed geological reports, creating maps, and contributing to strategic exploration planning.
A critical aspect of this role is collaborating with exploration teams, geophysicists, and mining engineers to integrate geological findings into broader project strategies. You will provide expert geological advice, support decision-making processes, and ensure that exploration and development activities are conducted with a thorough understanding of the geological context. The ability to interpret complex geological phenomena and communicate findings clearly to both technical and non-technical audiences is paramount. Your work will directly influence the success of our client's exploration ventures.
We are looking for individuals with a strong academic background in geology or a related earth science, coupled with extensive practical experience in mineral exploration or mining geology. Proficiency in geological modelling software (e.g., Leapfrog, Vulcan, ArcGIS) and data analysis tools is essential. Excellent problem-solving skills, a keen eye for detail, and the ability to work effectively in both independent remote settings and collaborative team environments are required. Understanding of relevant geological software and data management systems is key. The hybrid nature of this role necessitates good organisational skills and the ability to travel occasionally to our client's operational sites.
If you are a seasoned geologist looking to apply your analytical skills to challenging mining projects, and you are comfortable with a hybrid working model, we encourage you to explore this exciting opportunity.
Location: This is a hybrid role, with the flexibility of remote work and the requirement for occasional on-site visits. The primary office hub is located near Oxford, Oxfordshire, UK .
Responsibilities:
- Analyse and interpret geological data from various sources (seismic, core, well logs, etc.).
- Develop and manage geological models for mineral exploration projects.
- Identify and evaluate potential mineral resource targets.
- Assess geological risks and contribute to exploration strategy development.
- Prepare detailed geological reports and presentations for stakeholders.
- Collaborate with exploration, geophysics, and engineering teams.
- Provide expert geological advice and support for mining operations.
- Utilise geological software for data analysis, modelling, and visualisation.
- Ensure data integrity and adherence to geological standards.
- Stay updated with the latest advancements in geological sciences and exploration techniques.
- MSc or PhD in Geology, Geophysics, or a related Earth Science discipline.
- Significant experience in mineral exploration or mining geology.
- Proficiency in geological modelling and data analysis software (e.g., Leapfrog, Vulcan, ArcGIS).
- Strong understanding of geological principles and exploration techniques.
- Excellent analytical, problem-solving, and report-writing skills.
- Experience with hybrid work models and ability to travel as needed.
- Effective communication and collaboration abilities.
This advertiser has chosen not to accept applicants from your region.
8
Senior Bioinformatician - Genomics Data Analysis
S1 2LA Sheffield, Yorkshire and the Humber
£65000 Annually
WhatJobs
Posted 3 days ago
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Job Description
We are seeking a talented and experienced Senior Bioinformatician to lead advanced genomics data analysis initiatives for a leading research institution located in Sheffield, South Yorkshire, UK . This critical role involves developing and implementing cutting-edge bioinformatics pipelines to analyse large-scale genomic datasets, including WGS, WES, and RNA-seq. You will play a key part in identifying genetic variants, understanding gene expression patterns, and contributing to groundbreaking discoveries in human health. The successful candidate will work collaboratively with a team of molecular biologists, geneticists, and clinicians, providing crucial computational support and expertise.
Key Responsibilities:
Key Responsibilities:
- Develop, validate, and maintain robust bioinformatics pipelines for the analysis of diverse genomic data types.
- Perform complex statistical and bioinformatics analyses on next-generation sequencing (NGS) data.
- Interpret and present genomic findings to both technical and non-technical audiences, including researchers and clinicians.
- Design and implement quality control procedures for genomic data.
- Contribute to the design of genomic experiments and data management strategies.
- Collaborate with research teams to identify and address key biological questions through data analysis.
- Stay up-to-date with the latest advancements in bioinformatics tools, algorithms, and genomic technologies.
- Develop and implement scripts and tools to automate analysis workflows.
- Mentor junior bioinformaticians and provide training on bioinformatics methodologies.
- Ensure data security, integrity, and reproducibility of analyses.
This advertiser has chosen not to accept applicants from your region.
9