1,935 Senior Clinical Research Associate Remote Monitoring jobs in Kenya

• Lead and manage research projects from target identification through preclinical development.
• Design, execute, and interpret complex experiments to evaluate novel drug candidates.
• Develop and validate innovative assays and methodologies for drug discovery.
• Analyze and synthesize data from various sources to drive project decisions and strategy.
• Collaborate closely with cross-functional teams, including medicinal chemistry, biology, pharmacology, and clinical development.
• Mentor and guide junior scientists, fostering a culture of scientific excellence and innovation.
• Prepare high-quality scientific reports, presentations, and publications.
• Contribute to the intellectual property strategy through patent filings.
• Stay abreast of the latest scientific literature, emerging technologies, and competitive intelligence.
• Represent the company at scientific conferences and engage with external key opinion leaders.
• Ensure compliance with all regulatory requirements and safety protocols.
• Contribute to the strategic direction of the R&D pipeline.
• Manage external collaborations and CROs as needed.

• PhD in Pharmacology, Biochemistry, Molecular Biology, or a related life science discipline.
• 10+ years of progressive experience in pharmaceutical R&D, with a strong focus on drug discovery and development.
• Demonstrated expertise in at least one major therapeutic area (e.g., oncology, immunology, infectious diseases).
• Proven track record of leading successful drug discovery programs, leading to preclinical candidates.
• Extensive experience with various experimental techniques and analytical methods relevant to drug discovery.
• Strong understanding of drug development processes and regulatory pathways.
• Excellent leadership, communication, and interpersonal skills, with the ability to inspire and guide a team.
• Strong publication record in peer-reviewed journals and presentations at international conferences.
• Ability to think critically, solve complex problems, and make data-driven decisions.
• Experience working in a collaborative, fast-paced, and remote research environment.
• This is a fully remote position, offering flexibility and global reach.

• Analyze and interpret geological, geophysical, and geochemical data from various sources.
• Conduct remote sensing data analysis and integrate with field data.
• Prepare detailed geological maps, cross-sections, and reports.
• Identify potential areas for mineral or resource exploration based on data analysis.
• Collaborate with exploration geologists and other technical experts.
• Manage and maintain geological databases.
• Develop and implement survey methodologies.
• Stay updated on the latest advancements in geological survey techniques and technologies.
• Provide technical guidance and support to exploration teams.

• Master's degree in Geology, Geophysics, Earth Sciences, or a related discipline.
• Minimum of 5 years of experience in geological surveying and data interpretation.
• Proficiency in geological software (e.g., ArcGIS, Leapfrog, Petrel) and remote sensing tools.
• Strong understanding of mineral exploration techniques.
• Excellent analytical and problem-solving skills.
• Ability to work independently and manage time effectively in a remote setting.
• Strong report writing and presentation skills.
• Experience in the mining sector, particularly in resource estimation, is highly desirable.

• 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.

• 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.

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.

• 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.

• 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.

• 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.

• Developing and implementing a comprehensive people analytics strategy aligned with organizational goals.
• Designing, building, and maintaining HR dashboards and reports using various BI tools.
• Conducting advanced statistical analyses on employee data, including predictive modeling and trend forecasting.
• Identifying key HR metrics and KPIs to measure the effectiveness of HR programs and initiatives.
• Translating complex data findings into clear, concise, and actionable insights for leadership and HR teams.
• Collaborating with HR business partners and functional leaders to understand their data needs and provide analytical support.
• Ensuring data accuracy, integrity, and compliance with privacy regulations.
• Staying current with the latest trends and technologies in HR analytics and data science.
• Developing and delivering training sessions on HR data interpretation and utilization.
• Driving a data-centric culture within the HR department and the wider organization.

• Develop and implement advanced analytics strategies to optimize supply chain operations, including inventory management, transportation, and warehousing.
• Design, build, and maintain comprehensive dashboards and reports to track key performance indicators (KPIs) across the supply chain.
• Utilize statistical modeling and machine learning techniques to forecast demand, identify trends, and predict potential disruptions.
• Analyze complex datasets to identify opportunities for cost reduction, efficiency improvements, and service level enhancements.
• Collaborate closely with logistics, warehousing, and operations teams to understand their analytical needs and provide data-driven solutions.
• Develop and implement data quality standards and ensure the accuracy and reliability of supply chain data.
• Present findings and recommendations to senior management and cross-functional teams, translating complex data into clear business insights.
• Stay abreast of the latest advancements in supply chain analytics tools and methodologies.
• Mentor and guide junior analysts within the remote team.
• Champion a data-driven culture throughout the supply chain organization.

• Master's degree in Supply Chain Management, Data Science, Statistics, Operations Research, or a related quantitative field.
• A minimum of 7-9 years of experience in supply chain analytics, operations research, or a similar analytical role.
• Proven experience in developing and implementing advanced analytical models and dashboards for supply chain optimization.
• Expertise in data analysis tools and programming languages such as SQL, Python, R, and BI tools (e.g., Tableau, Power BI).
• Strong understanding of supply chain processes, including inventory management, warehousing, transportation, and logistics.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to effectively convey complex data insights to diverse, remote audiences.
• Experience working with large datasets and distributed data platforms.
• Ability to work independently, manage multiple projects, and prioritize effectively in a remote setting.
• Experience in predictive modeling and forecasting techniques is highly desirable.
• Knowledge of supply chain operations relevant to the region of Thika, Kiambu, KE would be an asset.