2,416 Research Facility jobs in Kenya
Postdoctoral Research Fellow - Genomics
Posted 21 days ago
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Job Description
Key Responsibilities:
- Design and execute computational and experimental studies in genomics.
- Analyze large-scale genomic and transcriptomic data using state-of-the-art bioinformatics tools and pipelines.
- Develop and implement novel computational methods for genetic variation detection, functional annotation, and pathway analysis.
- Interpret research findings and contribute to manuscript preparation for publication in peer-reviewed journals.
- Collaborate with principal investigators and other researchers on project planning and execution.
- Present research progress and findings at virtual lab meetings and scientific conferences.
- Maintain detailed records of experiments, data, and analyses.
- Mentor junior researchers and students as needed.
- Stay abreast of the latest advancements in genomics, bioinformatics, and related fields.
- Ensure data integrity, reproducibility, and adherence to ethical research standards.
- Manage research projects and timelines effectively in a remote environment.
- Contribute to grant writing and funding applications.
- Troubleshoot technical challenges in data analysis and experimental design.
Qualifications:
- Ph.D. in Genomics, Bioinformatics, Computational Biology, Molecular Biology, Genetics, or a closely related field from a reputable institution.
- Proven track record of research excellence, evidenced by peer-reviewed publications.
- Extensive experience with high-throughput sequencing data analysis (e.g., WGS, WES, RNA-Seq).
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl).
- Familiarity with bioinformatics software packages and databases (e.g., GATK, Ensembl, UCSC Genome Browser).
- Strong understanding of statistical principles and their application in biological data analysis.
- Experience with cloud computing platforms (e.g., AWS, Google Cloud) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to clearly articulate complex scientific concepts.
- Demonstrated ability to work independently, manage priorities, and meet deadlines in a remote setting.
- Experience with version control systems (e.g., Git) is desirable.
- Must be self-motivated and possess a strong work ethic.
This is an exciting opportunity for a talented researcher to contribute to impactful scientific work within a flexible, fully remote framework. Our client offers a competitive compensation package commensurate with experience.
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Postdoctoral Research Fellow (Genetics)
Posted 14 days ago
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Supply Chain Analytics Manager
Posted 13 days ago
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Job Description
Key Responsibilities:
- Develop and maintain key performance indicators (KPIs) and dashboards to monitor the health and efficiency of the supply chain and warehousing operations.
- Analyze vast datasets related to inventory levels, transportation costs, order fulfillment, and delivery performance to identify trends, bottlenecks, and areas for improvement.
- Design and implement predictive models for demand forecasting, inventory optimization, and network design.
- Collaborate with logistics, operations, and IT teams to define data requirements and ensure data integrity for analysis.
- Provide actionable insights and strategic recommendations to senior management regarding supply chain strategy, cost reduction initiatives, and service level improvements.
- Utilize advanced analytics and business intelligence tools (e.g., SQL, Python, R, Tableau, Power BI) to extract, manipulate, and visualize data.
- Evaluate the effectiveness of current logistics strategies and propose innovative solutions to enhance performance.
- Manage and mentor a team of supply chain analysts, fostering a culture of data-driven decision-making within a remote structure.
- Conduct scenario planning and simulation to assess the impact of potential changes to the supply chain network or operational processes.
- Stay current with emerging trends and technologies in supply chain analytics and logistics optimization.
Qualifications:
- Bachelor's or Master's degree in Supply Chain Management, Operations Research, Statistics, Economics, or a related quantitative field.
- Minimum of 6 years of experience in supply chain analysis, logistics, or operations management, with a strong focus on data analytics.
- Proven expertise in data analysis tools and programming languages such as SQL, Python, or R.
- Proficiency with business intelligence and data visualization tools (e.g., Tableau, Power BI).
- Solid understanding of supply chain principles, including inventory management, warehousing, transportation, and demand planning.
- Experience with forecasting models and optimization techniques.
- Excellent analytical, problem-solving, and strategic thinking skills.
- Strong communication and presentation skills, with the ability to convey complex data insights to both technical and non-technical audiences.
- Demonstrated leadership and team management experience.
- Ability to thrive in a fast-paced, autonomous, and fully remote work environment.
Principal Scientific Research Fellow
Posted 21 days ago
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Data Analytics Manager
Posted today
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Our client is a multinational financial services firm, with a significant footprint.
Based in either Nairobi or Kuala Lumpur, this role will play a critical role in supporting their internal audit activities by providing insights through the analysis and correlation of data extracted from various systems across the business. Through advanced data analytics techniques, the role will enable the audit team to identify control failures, assess risks, and provide independent assurance to senior leadership that risks are being managed effectively and remain within the organization's approved risk appetite.
Key analytical activities include:
- Data profiling:
Generating statistics to provide context and background on business processes. - Reperformance testing:
Re-performing calculations to validate transactions (e.g., payroll, claims), metrics from management information reports, and analytics models. - Exception detection:
Identifying instances where known restrictions, policies, or guidelines have not been followed. - Anomaly detection:
Detecting unusual or unexpected patterns of behaviour through data analysis. - Root cause analysis:
Identifying and quantifying the factors contributing to control failures and providing actionable insights.
The role also supports the internal audit leadership team in assessing the overall effectiveness of risk management practices.
Scope of the Role
As part of the regional audit resource pool, the Data Analytics Manager will be responsible for:
- Applying data analytics tools such as
SQL
and
Python
to support audit teams across the full audit lifecycle, from planning through closure. - Detecting symptoms of control failures by analyzing operational data and providing insights to audit leads.
- Developing and maintaining
continuous auditing dashboards
using visualization tools such as
Tableau
or
Power BI
, providing clear visibility of control effectiveness across business units. - Identifying trends and emerging themes that support the development of opinions on the organization's overall control environment.
- Supporting leadership in delivering continuous improvement initiatives and meeting stakeholder reporting requirements.
- Collaborating with internal teams, including
IT
and
Compliance
, to facilitate efficient data sourcing for audits and analytics initiatives.
Key Accountabilities
- Build and maintain strong working relationships with audit directors, internal audit leadership, and operational management teams.
- Deliver analytics outputs in line with internal methodologies and audit timelines.
- Provide audit leads with timely, accurate data-driven insights during fieldwork.
- Present audit findings to senior management, ensuring that appropriate responses are obtained for each identified issue.
- Manage analytics projects effectively, taking ownership of deliverables from start to finish.
Core Competencies
- Strong technical skills with
SQL
and
Python (Pandas Library)
for data analytics. - Proficiency in visualization tools such as
Tableau
and/or
Power BI
. - Advanced knowledge of
Python
/
R
for text analytics, NLP, predictive analytics, or machine learning is highly desirable. - Excellent stakeholder management, communication, and presentation skills.
Knowledge & Experience
- Hands-on technical experience
mining, cleaning, and analyzing data using databases and analytics tools. - Strong working knowledge of SQL in a relational database environment.
- Solid experience using Python for data analysis and automation.
- Experience with machine learning and predictive analytics is advantageous.
- Background in
financial services
preferred, ideally with exposure to
insurance
or
investment management
sectors. - Experience working within an
audit
or
risk management
environment is highly desirable. - Exceptional attention to detail and logical problem-solving abilities.
- A collaborative team player with the ability to build and maintain professional respect within the team and across departments.
Research Fellow in Applied Physics
Posted 7 days ago
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Sports Analytics Manager
Posted 19 days ago
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Remote Supply Chain Analytics Manager
Posted 21 days ago
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Key Responsibilities:
- Develop and implement sophisticated analytical models to identify trends, forecast demand, and optimize inventory levels across multiple warehouses.
- Design, build, and maintain automated dashboards and reports using BI tools (e.g., Tableau, Power BI) to monitor key supply chain performance indicators (KPIs).
- Analyze transportation costs, delivery times, and carrier performance to identify areas for improvement and cost savings.
- Collaborate with logistics and operations teams to identify operational bottlenecks and implement data-driven solutions.
- Develop and manage supply chain risk assessment models and contingency plans.
- Evaluate and recommend technology solutions to enhance supply chain visibility and efficiency.
- Present complex data analysis and insights in a clear and concise manner to stakeholders at all levels.
- Stay current with industry best practices and emerging technologies in supply chain analytics and logistics.
- Mentor and develop junior analysts within the supply chain team.
- Contribute to the strategic planning and decision-making processes for the supply chain department.
- Bachelor's degree in Supply Chain Management, Logistics, Statistics, Data Science, Engineering, or a related quantitative field. Master's degree preferred.
- Minimum of 6 years of experience in supply chain management or logistics, with at least 3 years focused on data analytics.
- Proven expertise in statistical analysis, forecasting, and optimization techniques.
- Proficiency in data visualization tools (e.g., Tableau, Power BI) and advanced Excel skills.
- Strong knowledge of SQL for data extraction and manipulation. Experience with Python or R for statistical modeling is a plus.
- Familiarity with Enterprise Resource Planning (ERP) systems and Warehouse Management Systems (WMS).
- Excellent problem-solving and critical-thinking skills.
- Strong communication and presentation abilities, with the capacity to translate complex data into business recommendations.
- Ability to thrive in a fast-paced, autonomous remote work environment.
Senior Supply Chain Analytics Manager
Posted 21 days ago
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Job Description
Key Responsibilities:
- Develop and implement advanced analytical strategies to optimize inventory, logistics, procurement, and demand forecasting.
- Lead a remote team of supply chain analysts, providing guidance, mentorship, and performance management.
- Utilize data mining and statistical modeling techniques to identify trends, patterns, and opportunities for improvement across the supply chain.
- Build and maintain robust supply chain performance dashboards and reports for stakeholders.
- Collaborate with cross-functional teams (procurement, operations, sales, IT) to ensure data integrity and align analytical insights with business objectives.
- Identify and implement best practices in supply chain analytics and technology adoption.
- Conduct root cause analysis for supply chain disruptions and develop mitigation strategies.
- Forecast future supply chain needs based on market trends, sales data, and promotional activities.
- Evaluate and recommend new technologies and tools to enhance supply chain visibility and decision-making.
- Ensure compliance with industry regulations and best practices.
- Present findings and strategic recommendations to senior management.
Qualifications:
- Master's degree in Supply Chain Management, Operations Research, Statistics, Data Science, Engineering, or a related quantitative field.
- Minimum of 8 years of experience in supply chain management and analytics, with at least 4 years in a leadership role.
- Proven expertise in statistical modeling, forecasting techniques, and optimization methods.
- Proficiency in data visualization tools (e.g., Tableau, Power BI) and database management (SQL).
- Experience with advanced analytical software (e.g., R, Python) is highly desirable.
- Strong understanding of supply chain processes within the FMCG sector.
- Excellent leadership, communication, and problem-solving skills, with the ability to manage a remote team effectively.
- Demonstrated ability to translate complex data into actionable business insights.
- Experience with ERP systems and supply chain planning software.
- Ability to think strategically and execute tactically.