289 Researchassistant jobs in the United Kingdom
Remote Scientific Research Lead - Bioinformatics
WV10 7DT Wolverhampton, West Midlands
£75000 Annually
WhatJobs
Posted 10 days ago
Job Viewed
Job Description
Our client, a pioneering biotechnology firm at the forefront of genomic research, is seeking an exceptional and highly motivated Remote Scientific Research Lead specializing in Bioinformatics. This is a pivotal role for an experienced scientist who can independently drive research projects from conception to publication, working entirely remotely. The successful candidate will lead the design and execution of complex bioinformatics analyses, focusing on large-scale genomic, transcriptomic, and proteomic datasets. You will be instrumental in developing novel computational methods and pipelines to address critical biological questions, contributing to groundbreaking discoveries.
Key responsibilities include overseeing data analysis workflows, interpreting results, and translating complex biological findings into clear, actionable insights. The Research Lead will manage computational resources, ensure data integrity, and implement rigorous quality control measures. A significant part of the role involves collaborating with a geographically dispersed team of biologists, clinicians, and data scientists through virtual communication channels. You will also be responsible for staying abreast of the latest advancements in bioinformatics, computational biology, and relevant 'omics' technologies, and actively contributing to scientific publications and conference presentations. The ability to mentor junior researchers and provide technical guidance in a remote setting is essential. This role offers the unique advantage of a fully remote work environment, empowering you to work from anywhere while contributing to world-class scientific endeavors. The position requires a self-disciplined individual with exceptional project management skills and a proven ability to deliver high-impact research outcomes independently.
Key Responsibilities:
Key responsibilities include overseeing data analysis workflows, interpreting results, and translating complex biological findings into clear, actionable insights. The Research Lead will manage computational resources, ensure data integrity, and implement rigorous quality control measures. A significant part of the role involves collaborating with a geographically dispersed team of biologists, clinicians, and data scientists through virtual communication channels. You will also be responsible for staying abreast of the latest advancements in bioinformatics, computational biology, and relevant 'omics' technologies, and actively contributing to scientific publications and conference presentations. The ability to mentor junior researchers and provide technical guidance in a remote setting is essential. This role offers the unique advantage of a fully remote work environment, empowering you to work from anywhere while contributing to world-class scientific endeavors. The position requires a self-disciplined individual with exceptional project management skills and a proven ability to deliver high-impact research outcomes independently.
Key Responsibilities:
- 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.
This advertiser has chosen not to accept applicants from your region.
0
Senior Scientific Research Associate - Biotechnology
NE1 4EQ Newcastle upon Tyne, North East
£40000 Annually
WhatJobs
Posted 10 days ago
Job Viewed
Job Description
Our client, a pioneering biotechnology company based in **Newcastle upon Tyne, Tyne and Wear, UK**, is seeking an experienced Senior Scientific Research Associate to contribute to their groundbreaking work in drug discovery and development. This role is crucial for advancing our client's pipeline by conducting rigorous scientific research, developing innovative assays, and troubleshooting complex experimental challenges. The ideal candidate will possess a strong background in molecular biology, biochemistry, or a related field, with hands-on experience in a research and development laboratory setting. You will be responsible for designing, executing, and analyzing experiments, meticulously documenting findings, and contributing to the interpretation of data within a broader research program. The Senior Scientific Research Associate will play a key role in optimizing existing protocols and developing novel methodologies to accelerate research timelines. This position demands excellent problem-solving skills, a keen eye for detail, and the ability to work independently while also collaborating effectively with a multidisciplinary team of scientists. Maintaining a safe and organized laboratory environment, adhering to GLP/GMP standards, and staying current with scientific literature are also integral aspects of this role. This is an exceptional opportunity to join a dynamic team at the forefront of scientific innovation and make a tangible contribution to developing life-changing therapeutics.
Responsibilities:
Responsibilities:
- 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.
This advertiser has chosen not to accept applicants from your region.
1
Data Analysis and Validation Associate
Pirbright, South East
CK Group- Science, Clinical and Technical
Posted 2 days ago
Job Viewed
Job Description
CK Group are recruiting for a Data Analysis and Validation Associate to join a global animal health company on a contract basis for 12 months.
Salary:
147.90 per day PAYE
Data Analysis and Validation Associate role:
Your Background :
Company:
Our client is a leading manufacturer of vaccines, parasiticides and pharmaceuticals to protect animals. They are also one of the fastest growing animal health companies in the UK.
Location:
This role is based at our clients site near Pirbright.
Apply:
For more information, or to apply for this Data Analysis and Validation Associate role, please contact the Key Accounts Team on (phone number removed) or email (url removed). Please quote reference (Apply online only).
It is essential that applicants hold entitlement to work in the UK
Please note: This role may be subject to a satisfactory basic Disclosure and Barring Service (DBS) check.
INDKA
Salary:
147.90 per day PAYE
Data Analysis and Validation Associate role:
- 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.
Your Background :
- 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
Company:
Our client is a leading manufacturer of vaccines, parasiticides and pharmaceuticals to protect animals. They are also one of the fastest growing animal health companies in the UK.
Location:
This role is based at our clients site near Pirbright.
Apply:
For more information, or to apply for this Data Analysis and Validation Associate role, please contact the Key Accounts Team on (phone number removed) or email (url removed). Please quote reference (Apply online only).
It is essential that applicants hold entitlement to work in the UK
Please note: This role may be subject to a satisfactory basic Disclosure and Barring Service (DBS) check.
INDKA
This advertiser has chosen not to accept applicants from your region.
2
Data Analysis and Validation Associate
Pirbright, South East
CK Group- Science, Clinical and Technical
Posted 1 day ago
Job Viewed
Job Description
CK Group are recruiting for a Data Analysis and Validation Associate to join a global animal health company on a contract basis for 12 months.
Salary:
147.90 per day PAYE
Data Analysis and Validation Associate role:
Your Background :
Company:
Our client is a leading manufacturer of vaccines, parasiticides and pharmaceuticals to protect animals. They are also one of the fastest growing animal health companies in the UK.
Location:
This role is based at our clients site near Pirbright.
Apply:
For more information, or to apply for this Data Analysis and Validation Associate role, please contact the Key Accounts Team on (phone number removed) or email (url removed). Please quote reference (Apply online only).
It is essential that applicants hold entitlement to work in the UK
Please note: This role may be subject to a satisfactory basic Disclosure and Barring Service (DBS) check.
INDKA
Salary:
147.90 per day PAYE
Data Analysis and Validation Associate role:
- 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.
Your Background :
- 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
Company:
Our client is a leading manufacturer of vaccines, parasiticides and pharmaceuticals to protect animals. They are also one of the fastest growing animal health companies in the UK.
Location:
This role is based at our clients site near Pirbright.
Apply:
For more information, or to apply for this Data Analysis and Validation Associate role, please contact the Key Accounts Team on (phone number removed) or email (url removed). Please quote reference (Apply online only).
It is essential that applicants hold entitlement to work in the UK
Please note: This role may be subject to a satisfactory basic Disclosure and Barring Service (DBS) check.
INDKA
This advertiser has chosen not to accept applicants from your region.
3
Data Analysis Bootcamp (Hiring Immediately)
N1 2UD Islington, London
ITonlinelearning Recruitment
Posted today
Job Viewed
Job Description
Data Analyst Course Programme Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as 142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: 28,000 38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.
This advertiser has chosen not to accept applicants from your region.
4
Senior Bioinformatician (Genomics Data Analysis)
S1 4DT Sheffield, Yorkshire and the Humber
£58000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client is seeking an accomplished Senior Bioinformatician with a strong background in genomics data analysis to join their leading scientific research and development team in **Sheffield, South Yorkshire, UK**. This vital role will involve the analysis of large-scale genomic datasets, development of computational pipelines, and collaboration with researchers to drive scientific discovery. The ideal candidate will possess excellent programming skills, a deep understanding of bioinformatics tools and algorithms, and a passion for advancing biological understanding through data. This is a permanent, on-site position.
Responsibilities:
Responsibilities:
- Design, develop, and implement robust bioinformatics pipelines for the analysis of diverse genomic datasets (e.g., WGS, WES, RNA-Seq, ChIP-Seq).
- Perform complex data analysis, interpretation, and visualization of genomic and molecular data.
- Collaborate closely with biologists, geneticists, and other researchers to define project requirements and provide analytical support.
- Develop and maintain databases for storing and managing large-scale genomic data.
- Stay current with the latest advancements in bioinformatics tools, algorithms, and methodologies.
- Contribute to the development of novel computational methods and software tools.
- Troubleshoot and optimize existing bioinformatics workflows.
- Document analytical procedures, findings, and methodologies thoroughly.
- Present research findings and analytical results to scientific colleagues and stakeholders.
- Ensure data integrity, security, and compliance with relevant ethical guidelines.
- Mentor junior bioinformaticians and contribute to the team's technical expertise.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of hands-on experience in bioinformatics, with a focus on genomics data analysis.
- Strong programming skills in languages such as Python, R, and/or Perl.
- Proficiency with command-line environments (Linux/Unix) and common bioinformatics software packages and databases.
- Experience with next-generation sequencing (NGS) data analysis and associated tools (e.g., BWA, GATK, STAR, DESeq2).
- Solid understanding of statistical methods and machine learning techniques applicable to biological data.
- Experience with data visualization tools and techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to collaborate effectively in a research environment.
- Experience with high-performance computing (HPC) environments is desirable.
- Familiarity with cloud computing platforms for data analysis is a plus.
This advertiser has chosen not to accept applicants from your region.
5
Graduate Trainee Scheme - Data Analysis
MK1 1AU Milton Keynes, South East
£25000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client is thrilled to announce an exceptional opportunity for ambitious graduates to join their fully remote Graduate Trainee Scheme focusing on Data Analysis. This program is designed for individuals eager to launch their careers in a data-driven environment, providing comprehensive training and practical experience in analyzing complex datasets. As a Graduate Trainee, you will work on real-world projects, contributing to significant business decisions and gaining invaluable skills in data interpretation, visualization, and reporting. You will be mentored by experienced data analysts and work alongside dedicated teams, receiving exposure to a variety of analytical tools and techniques, including SQL, Python, R, and advanced Excel. The scheme emphasizes learning and development, offering opportunities to explore different facets of data analysis within various business functions. Successful candidates will be proactive learners, possess strong analytical and problem-solving abilities, and demonstrate a keen interest in leveraging data to drive insights. This role is ideal for recent graduates who are seeking a structured pathway into a career in data science or business analytics. You will be involved in data cleaning, transformation, and manipulation, as well as the development of dashboards and reports to communicate findings effectively. The training program includes workshops, online courses, and hands-on project work, ensuring a well-rounded learning experience. Collaboration and communication are key, as you will interact with team members and stakeholders to understand data requirements and present your findings. This program is an excellent springboard for a fulfilling career, offering exposure to diverse business challenges and the chance to develop a specialized skill set in a supportive, remote-first environment. We are looking for enthusiastic individuals ready to make a tangible contribution and grow with our client, impacting business strategies and operational efficiency from Milton Keynes, Buckinghamshire, UK , all conducted remotely.
Responsibilities:
Qualifications:
Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Support the development and maintenance of data dashboards and reports.
- Learn and apply statistical methods and data modeling techniques.
- Contribute to data-driven problem-solving initiatives across different departments.
- Collaborate with senior analysts to interpret data and generate actionable insights.
- Assist in documenting data sources, methodologies, and findings.
- Participate in training sessions and professional development activities.
- Communicate findings clearly and concisely to team members.
Qualifications:
- 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 critical thinking skills.
- Proficiency in Microsoft Excel.
- Familiarity with database concepts and SQL is a plus.
- Basic knowledge of programming languages like Python or R is advantageous.
- Excellent communication and interpersonal skills.
- Ability to work independently and manage time effectively in a remote setting.
- Enthusiasm for learning and a proactive attitude towards challenges.
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest ResearchAssistant Jobs in United Kingdom !
6
Senior Agronomist - Remote Data Analysis
CB2 Cambridge, Eastern
£60000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
A pioneering agricultural technology company is seeking an experienced Senior Agronomist with a specialization in remote data analysis to join their innovative team. This fully remote role will focus on leveraging advanced data analytics, satellite imagery, and IoT sensor data to provide actionable insights for optimizing crop yields and sustainable farming practices. The successful candidate will work closely with farm managers and agricultural stakeholders across the UK and internationally, offering expert guidance from their home office. This is a fantastic opportunity to be at the forefront of agricultural innovation and contribute to a more sustainable food future.
Responsibilities:
Qualifications:
Responsibilities:
- Analyze large datasets from various sources, including satellite imagery, drone data, weather stations, and soil sensors, to identify trends and patterns in crop health and performance.
- Develop and refine models for predicting crop yields, disease outbreaks, and nutrient deficiencies.
- Provide expert agronomic recommendations based on data analysis to improve farm management practices, optimize irrigation, and enhance soil health.
- Collaborate with cross-functional teams, including data scientists, software engineers, and field agronomists, to develop and deploy data-driven agricultural solutions.
- Create comprehensive reports and visualizations to communicate findings and recommendations to clients and stakeholders.
- Stay current with the latest advancements in precision agriculture, remote sensing technologies, and agricultural data analytics.
- Assist in the development and testing of new data analysis tools and platforms.
- Offer remote agronomic support and advice to farmers and agricultural businesses.
- Ensure data accuracy and integrity throughout the analysis process.
- Contribute to the company's research and development efforts in agricultural science.
Qualifications:
- MSc or PhD in Agronomy, Agricultural Science, Crop Science, or a related field with a strong emphasis on data analysis.
- Minimum of 7 years of experience in agronomy or agricultural science, with at least 4 years focused on data-driven insights and remote sensing technologies.
- Proficiency in analyzing agricultural datasets using statistical software and tools (e.g., R, Python, SPSS).
- Experience with GIS software and remote sensing data analysis platforms (e.g., ArcGIS, QGIS, Google Earth Engine).
- Strong understanding of plant physiology, soil science, and crop management principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain complex data to diverse audiences.
- Proven ability to work independently and collaboratively in a fully remote environment.
- Familiarity with IoT devices in agriculture is a plus.
- Experience in the **Cambridge, Cambridgeshire, UK** region's agricultural or technology sectors is advantageous but not required for this remote role.
This advertiser has chosen not to accept applicants from your region.
7
Remote Graduate Trainee - Data Analysis
L1 1AA Liverpool, North West
£25000 annum (pro
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client is offering an exceptional opportunity for motivated graduates to join their organisation as Remote Graduate Trainees in Data Analysis. This is a fully remote, structured training program designed to equip enthusiastic individuals with the essential skills and knowledge required to excel in the field of data analysis. You will gain hands-on experience working with real-world datasets, learning to extract meaningful insights, and contributing to data-driven decision-making across various business functions.
This program is ideal for recent graduates with a strong quantitative background and a keen interest in data. You will receive comprehensive training in data manipulation, statistical analysis, data visualisation, and relevant software tools such as SQL, Python, and R. Mentorship from experienced data professionals will guide your development, providing practical support and career advice. The role demands a high level of analytical thinking, problem-solving skills, and a meticulous attention to detail. As a remote trainee, you will need to demonstrate strong self-discipline, excellent time management, and effective communication skills to collaborate with your cohort and supervisors. This internship offers a fantastic foundation for a career in data science, business intelligence, or related analytical fields, providing valuable industry experience from the outset.
Key Responsibilities:
This program is ideal for recent graduates with a strong quantitative background and a keen interest in data. You will receive comprehensive training in data manipulation, statistical analysis, data visualisation, and relevant software tools such as SQL, Python, and R. Mentorship from experienced data professionals will guide your development, providing practical support and career advice. The role demands a high level of analytical thinking, problem-solving skills, and a meticulous attention to detail. As a remote trainee, you will need to demonstrate strong self-discipline, excellent time management, and effective communication skills to collaborate with your cohort and supervisors. This internship offers a fantastic foundation for a career in data science, business intelligence, or related analytical fields, providing valuable industry experience from the outset.
Key Responsibilities:
- Assist in collecting, cleaning, and processing large datasets.
- Perform data analysis to identify trends, patterns, and insights.
- Develop data visualisations and reports to communicate findings.
- Support senior analysts in various data-related projects.
- Learn and apply statistical methods and analytical techniques.
- Gain proficiency in data analysis tools and software (SQL, Python, R).
- Collaborate with team members in a remote setting.
- Contribute to documentation and knowledge sharing.
- Participate actively in training sessions and workshops.
- Help to ensure data accuracy and integrity.
- Recent graduate with a degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Economics, Engineering).
- Strong analytical and problem-solving abilities.
- Aptitude for working with numbers and data.
- Basic understanding of statistical concepts is beneficial.
- Familiarity with programming languages like Python or R is a plus.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively.
- Strong attention to detail.
- Enthusiasm for learning and developing data analysis skills.
- Access to a reliable internet connection for remote work.
This advertiser has chosen not to accept applicants from your region.
8
Lead Forensic Accountant - Data Analysis
EH1 1 Edinburgh, Scotland
£70000 Annually
WhatJobs
Posted 6 days ago
Job Viewed
Job Description
Our client, a prominent forensic accounting and litigation support firm, is seeking an experienced Lead Forensic Accountant with a strong focus on data analysis to join their fully remote team. This exciting role allows you to leverage advanced analytical techniques and technology to investigate financial fraud, disputes, and irregularities from anywhere in the UK. You will be a key player in unearthing critical financial evidence and providing expert insights to legal teams and corporate clients, all while enjoying the flexibility of remote work.
The Lead Forensic Accountant will be responsible for designing and executing complex data analysis projects to identify patterns, anomalies, and evidence of financial misconduct. This includes data extraction, cleansing, analysis, and visualization using specialized forensic accounting software and tools. You will prepare detailed reports, conduct expert witness testimony, and advise clients on risk mitigation strategies. A deep understanding of accounting principles, fraud schemes, and data analytics methodologies is crucial. Exceptional communication and presentation skills are required to effectively convey complex findings to diverse audiences, including non-technical stakeholders.
Key responsibilities include:
The ideal candidate will hold a professional accounting qualification (e.g., ACA, ACCA, CPA) and possess a minimum of 7 years of experience in forensic accounting, with a significant emphasis on data analysis and digital forensics. Proficiency in data analytics tools and databases is essential. Strong analytical, critical thinking, and problem-solving skills are paramount. Excellent written and verbal communication skills, including experience with expert witness testimony, are required. As this is a fully remote position, candidates must demonstrate strong self-management, organization, and communication skills. The role is technically affiliated with our office in Edinburgh, Scotland, UK , but performed entirely remotely.
The Lead Forensic Accountant will be responsible for designing and executing complex data analysis projects to identify patterns, anomalies, and evidence of financial misconduct. This includes data extraction, cleansing, analysis, and visualization using specialized forensic accounting software and tools. You will prepare detailed reports, conduct expert witness testimony, and advise clients on risk mitigation strategies. A deep understanding of accounting principles, fraud schemes, and data analytics methodologies is crucial. Exceptional communication and presentation skills are required to effectively convey complex findings to diverse audiences, including non-technical stakeholders.
Key responsibilities include:
- Leading forensic accounting investigations involving large and complex datasets.
- Developing and applying data analytics techniques to detect fraud, money laundering, and other financial irregularities.
- Utilizing forensic accounting software and data visualization tools (e.g., ACL, IDEA, Tableau) for analysis and reporting.
- Performing detailed financial analysis to quantify economic damages and support litigation.
- Extracting, transforming, and analyzing data from various sources, including accounting systems and databases.
- Preparing comprehensive forensic reports and executive summaries.
- Serving as an expert witness in legal proceedings, presenting findings clearly and effectively.
- Collaborating with legal counsel and clients to understand investigative objectives and requirements.
- Mentoring and guiding junior forensic accountants and analysts.
- Staying current with emerging trends in data analytics, cybersecurity, and forensic accounting.
The ideal candidate will hold a professional accounting qualification (e.g., ACA, ACCA, CPA) and possess a minimum of 7 years of experience in forensic accounting, with a significant emphasis on data analysis and digital forensics. Proficiency in data analytics tools and databases is essential. Strong analytical, critical thinking, and problem-solving skills are paramount. Excellent written and verbal communication skills, including experience with expert witness testimony, are required. As this is a fully remote position, candidates must demonstrate strong self-management, organization, and communication skills. The role is technically affiliated with our office in Edinburgh, Scotland, UK , but performed entirely remotely.
This advertiser has chosen not to accept applicants from your region.
9