What Jobs are available for Research Team Leader in Kenya?

• Lead and manage multiple scientific research projects in environmental science.
• Develop strategic research plans and roadmaps.
• Supervise and mentor a team of remote research scientists and technicians.
• Oversee experimental design, data collection, and analysis.
• Write and submit grant proposals to secure research funding.
• Foster collaborations with external research institutions and industry partners.
• Ensure scientific integrity and adherence to research ethics.
• Disseminate research findings through publications, presentations, and reports.
• Manage research budgets and resources effectively.
• Stay abreast of advancements in environmental science and research methodologies.

• Ph.D. in Environmental Science, Ecology, Climate Science, or a related field.
• Minimum of 8 years of research experience, with at least 3 years in a leadership or management role.
• Proven track record in securing research grants and managing large-scale research projects.
• Expertise in scientific research methodologies, data analysis, and interpretation.
• Strong leadership, team-building, and interpersonal skills.
• Excellent written and verbal communication skills, including grant writing and presentation experience.
• Proficiency in scientific software and data analysis tools.
• Demonstrated ability to work independently and manage diverse research portfolios remotely.
• Experience in publishing research in high-impact journals.
• A passion for environmental sustainability and scientific innovation.

• Lead the design and execution of highly complex scientific research projects from conception through to experimental validation.
• Develop and implement novel methodologies and experimental techniques to address critical scientific challenges.
• Analyze and interpret large datasets, drawing meaningful conclusions and formulating hypotheses.
• Mentor and guide a team of scientists and technicians, fostering a collaborative and productive research environment.
• Author high-quality scientific publications, patents, and technical reports.
• Collaborate effectively with internal and external stakeholders, including academic institutions and industry partners.
• Present research findings at national and international conferences.
• Identify and pursue new research opportunities and funding avenues.
• Ensure adherence to all laboratory safety protocols and ethical research practices.
• Contribute to the strategic planning and direction of the research division.

• Ph.D. in a relevant scientific discipline (e.g., Chemistry, Physics, Biology, Materials Science).
• Minimum of 10 years of post-doctoral research experience in an academic or industrial R&D setting, with a significant publication record and demonstrated leadership in research.
• Proven expertise in designing and conducting complex experiments and analyzing results.
• Strong theoretical and practical knowledge in a specialized scientific field relevant to the company's objectives.
• Experience with advanced analytical instrumentation and techniques.
• Excellent problem-solving, critical thinking, and scientific reasoning skills.
• Exceptional written and verbal communication skills, with the ability to clearly articulate complex scientific concepts to diverse audiences remotely.
• Demonstrated ability to lead research teams and manage projects effectively.
• Proficiency in data analysis software and scientific visualization tools.
• A strong commitment to scientific integrity and innovation.

• Developing and implementing advanced analytical models to understand supply chain performance.
• Analyzing data related to inventory management, transportation, warehousing, and order fulfillment.
• Identifying trends, patterns, and root causes of operational issues within the supply chain.
• Forecasting demand, inventory levels, and potential disruptions.
• Developing KPIs and dashboards to monitor supply chain efficiency and effectiveness.
• Recommending process improvements and strategic changes to optimize the supply chain.
• Collaborating with logistics, warehousing, and operations teams to implement data-driven solutions.
• Utilizing statistical software and data visualization tools to present findings and recommendations.
• Managing and mentoring a team of supply chain analysts (if applicable in the future).
• Staying current with supply chain best practices and emerging analytical technologies.
• Ensuring data accuracy and integrity across all supply chain systems.

• Conceptualize, design, and lead significant scientific research projects from inception to completion.
• Develop and implement rigorous research methodologies and experimental protocols.
• Oversee data collection, analysis, and interpretation, ensuring scientific validity.
• Mentor, guide, and manage a team of research scientists and assistants.
• Secure funding through grant writing and collaboration with funding agencies.
• Publish research findings in high-impact peer-reviewed journals.
• Present research at national and international scientific conferences.
• Collaborate with interdisciplinary teams and external partners to advance research objectives.
• Ensure compliance with all ethical guidelines, safety protocols, and regulatory requirements.
• Stay abreast of the latest scientific literature and emerging technologies in the relevant field.

• Ph.D. in a relevant scientific discipline (e.g., Biology, Chemistry, Physics, Engineering).
• Minimum of 7 years of post-doctoral research experience, with a demonstrated history of leading successful research initiatives.
• Extensive publication record in reputable scientific journals.
• Proven experience in securing research grants and funding.
• Strong leadership, project management, and team-building skills.
• Exceptional analytical, critical thinking, and problem-solving abilities.
• Excellent written and verbal communication skills, with the ability to articulate complex scientific concepts clearly.
• Ability to thrive in a fully remote, collaborative research environment.
• Expertise in state-of-the-art laboratory techniques and research methodologies relevant to the field.
• A deep commitment to scientific integrity and innovation.

• Design and execute complex genomic research projects, including Next-Generation Sequencing (NGS) experiments.
• Analyze large-scale genomic datasets using advanced bioinformatics tools and statistical methods.
• Develop and validate new genomic assays and analytical pipelines.
• Interpret research findings and translate them into high-impact publications and presentations.
• Lead and mentor a team of postdoctoral fellows, research assistants, and graduate students.
• Actively seek and secure external research grants and funding opportunities.
• Collaborate with internal and external collaborators across various disciplines.
• Ensure compliance with ethical guidelines and regulatory requirements for research involving human or animal subjects.
• Stay current with the latest advancements in genomics, molecular biology, and bioinformatics.
• Contribute to the strategic direction and scientific vision of the research group.

• Ph.D. in Genomics, Molecular Biology, Genetics, Bioinformatics, or a closely related field.
• Minimum of 8 years of post-doctoral research experience in a leading academic or industrial research setting.
• Extensive experience with various NGS technologies and data analysis platforms.
• Proven track record of high-quality scientific publications in peer-reviewed journals.
• Demonstrated success in obtaining competitive research grants.
• Strong leadership and team management skills, with the ability to mentor junior researchers.
• Excellent written and verbal communication skills, with the ability to present complex scientific information clearly.
• Proficiency in programming languages such as R, Python, or Perl for data analysis.
• Experience in a remote research collaboration setting is advantageous.

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.