555 Lead Clinical Research Associate jobs in Kenya

• Conduct pre-study, initiation, interim, and close-out visits for clinical trial sites.
• Monitor trial conduct to ensure adherence to protocol, regulatory requirements, and Good Clinical Practice (GCP).
• Verify the accuracy, completeness, and integrity of clinical data through source document verification.
• Train and mentor site staff on study-related procedures and documentation.
• Manage investigational product accountability and drug destruction.
• Ensure timely data entry and resolution of data queries.
• Build and maintain strong working relationships with investigators, study coordinators, and other site personnel.
• Identify and report adverse events and serious adverse events according to protocol and regulatory guidelines.
• Prepare and submit monitoring reports in a timely and accurate manner.
• Participate in protocol and study-related meetings as required.
• Ensure all site activities are well-documented and maintained in the trial master file (TMF).
• Contribute to the development and review of clinical study protocols and other study-related documents.
• Act as a primary point of contact for assigned sites and internal study teams.
• Provide guidance and oversight to junior CRAs, if applicable.
• Manage site-level recruitment and retention strategies.

• Assist in collecting, cleaning, and organizing agricultural and forestry data.
• Perform basic data analysis using statistical software and tools.
• Contribute to the development of reports and visualizations to present findings.
• Support senior analysts in identifying trends and patterns in agricultural datasets.
• Learn and apply data analysis techniques relevant to crop management, resource allocation, and sustainability.
• Assist in maintaining data integrity and accuracy.
• Collaborate effectively with team members in a remote setting.
• Participate in team meetings and contribute ideas for data-driven solutions.
• Gain exposure to various data analysis tools and methodologies.

• Pursuing or recently completed a Bachelor's degree in Data Science, Statistics, Agriculture, Forestry, Computer Science, or a related quantitative field.
• Basic understanding of data analysis concepts and statistical methods.
• Familiarity with data analysis tools such as Excel, R, Python (Pandas, NumPy), or SQL is a plus.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Eagerness to learn and a proactive attitude.
• Ability to work independently and manage time effectively in a remote environment.
• Interest in agriculture, forestry, or related environmental sciences.

• Monitor security alerts and logs for suspicious activity.
• Assist in the investigation of security incidents and data breaches.
• Perform vulnerability assessments and penetration testing under supervision.
• Learn and apply security best practices and protocols.
• Help maintain and update security documentation.
• Support the IT team in implementing security measures.
• Participate in security awareness training development.
• Research emerging cyber threats and vulnerabilities.
• Collaborate with team members in a remote environment.
• Complete assigned learning modules and practical exercises.

• A foundational understanding of computer networks, operating systems, and basic security concepts.
• Strong analytical and problem-solving skills.
• Excellent attention to detail.
• Eagerness to learn about cybersecurity principles and tools.
• Good communication skills, both written and verbal.
• Ability to work independently and manage time effectively in a remote setting.
• A degree or relevant certification in IT, Computer Science, or a related field is a plus but not mandatory for candidates with demonstrated passion and aptitude.
• Familiarity with security concepts like firewalls, encryption, and malware is beneficial.
• Commitment to a structured learning and development program.

• Assist in the collection, cleaning, and organization of agricultural data from various sources, including sensor readings, weather stations, and satellite imagery.
• Support the development and maintenance of databases and data repositories.
• Perform basic data analysis under the guidance of senior analysts to identify trends and patterns.
• Create simple data visualizations and reports to communicate findings.
• Learn and apply data analysis tools and techniques, such as Excel, SQL, and introductory data visualization software.
• Collaborate with team members to understand project requirements and assist in their execution.
• Participate in team meetings and contribute to discussions regarding data insights.
• Assist in documenting data processes and methodologies.
• Gain exposure to the AgriTech industry and its data-driven solutions.
• Support analysis relevant to agricultural challenges faced in regions like Meru, Meru, KE .

• Recent graduate with a Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Agriculture, or a related field.
• Strong analytical and quantitative skills.
• Proficiency in Microsoft Excel.
• Basic understanding of data analysis concepts and principles.
• Eagerness to learn and develop skills in data analysis tools such as SQL, Python, or R.
• Good communication and interpersonal skills.
• Ability to work independently and as part of a remote team.
• Strong organizational skills and attention to detail.
• A genuine interest in agriculture and technology is highly desirable.
• Proactive attitude and willingness to take on new challenges.

We are looking for a
Forensics Analyst Intern
to join our Fraud team in Kenya as we scale up and drive digital and financial inclusion across our markets.

As our Forensics Analyst Intern, you will support the Fraud Forensics team in conducting entry-level digital forensics activities, learning how to detect, analyse, and document potential fraudulent activities targeting M-KOPA devices. You will gain hands-on experience in digital forensics while contributing to the team's operational capabilities under close supervision from senior analysts.

You will assist in forensic investigations on compromised devices, learning to apply basic forensic techniques for evidence extraction and documentation. By following established procedures and guidelines, participating in cross-functional meetings, and receiving mentorship from senior forensic analysts, you will develop essential skills in technical documentation, evidence presentation, and fraud prevention methodologies.

About Us
In this role, you will be at the forefront of protecting our customers and business from fraudulent activities. Your primary focus will be on supporting forensic investigations while learning standardized forensic analysis protocols under the guidance of experienced professionals. You will help prepare preliminary forensic reports, developing crucial skills in technical documentation and evidence presentation that are fundamental to digital forensics.

Working closely with the fraud team and other departments, you will participate in cross-functional meetings to understand how forensic insights inform fraud prevention measures across the organization. You will observe court proceedings when applicable to gain understanding of legal requirements for digital evidence presentation, building a comprehensive foundation in forensic best practices.

Your learning journey will include assisting in security testing activities under supervision to develop vulnerability assessment methodologies while contributing to routine forensic tasks. You will compile data and contribute to regular reporting for team leads and management, ensuring accurate documentation of forensic activities.

This is an on-site role based in our Kenya offices, where you will collaborate with diverse teams across multiple departments. You will be reporting to the Lead Fraud Forensics Analyst while working alongside other Forensics Analysts in delivering operational excellence.

Expertise
We are looking for an aspiring forensics professional who can follow detailed technical instructions while demonstrating strong analytical thinking and attention to detail in all forensic activities.

You should be currently pursuing or have recently completed a degree in Computer Science, Digital Forensics, Cybersecurity, or a related field, with a basic understanding of computer systems, operating systems, and networking concepts.

Your technical foundation should include familiarity with at least one programming or scripting language (Python preferred), strong understanding of SQL, Notion, Microsoft suite (Excel, Word, etc), and Looker. Knowledge of data analysis and pattern recognition concepts will be essential for success in this role.

Being eager to learn with excellent written and verbal communication skills is crucial for effective collaboration with various team members and stakeholders. Your ability to handle confidential information responsibly while working effectively in a team environment will be fundamental to this position.

If you have skillsets in digital forensics, cybersecurity, and fraud prevention, combined with a strong analytical mindset and genuine interest in protecting customers from fraudulent activities, this could be the perfect opportunity to launch your career in digital forensics.

Why M-KOPA?
At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritize well-being, and embrace flexibility.

Join us in shaping the future of M-KOPA as we grow together. Explore more at
m-
.

Recognized four times by the Financial Times as one Africa's fastest growing companies (2022, 2023, 2024 and 2025) and by TIME100 Most influential companies in the world 2023 and 2024 , we've served over 5 million customers, unlocking $1.5 billion in cumulative credit for the unbanked across Africa.
Important Notice
M-KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply.
M-KOPA explicitly prohibits the use of Forced or Child Labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M-KOPA shall ensure that its Employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships.
M-KOPA does not collect/charge any money as a pre-employment or post-employment requirement. This means that we never ask for 'recruitment fees', 'processing fees', 'interview fees', or any other kind of money in exchange for offer letters or interviews at any time during the hiring process.
Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date.

• Assist in collecting and organizing data from various sources.
• Perform data cleaning and pre-processing tasks.
• Conduct basic exploratory data analysis (EDA).
• Support the creation of data visualizations and reports.
• Collaborate with senior analysts on ongoing projects.
• Learn and apply fundamental statistical techniques.
• Participate in team meetings and contribute ideas.
• Develop an understanding of data-driven decision-making processes.
• Assist in documenting data sources, methodologies, and findings.
• Gain exposure to SQL, Python/R, and data visualization tools.

• Currently pursuing a Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Basic understanding of statistical concepts and data analysis principles.
• Familiarity with spreadsheet software (e.g., Microsoft Excel, Google Sheets).
• Enthusiasm for learning data analysis tools and programming languages (e.g., SQL, Python, R).
• Strong attention to detail and commitment to accuracy.
• Excellent problem-solving and critical thinking abilities.
• Good written and verbal communication skills.
• Ability to work independently and manage tasks effectively in a remote setting.
• Eagerness to learn and adapt in a fast-paced environment.
• Academic background or interest in the Kisumu region or local industry trends is a plus.

• Assist in gathering financial data from various sources for analysis.
• Support the preparation of financial reports, statements, and presentations.
• Help build and maintain financial models for forecasting and budgeting purposes.
• Conduct preliminary analysis of financial trends and identify any anomalies.
• Learn and apply financial analysis techniques and tools.
• Assist in the reconciliation of financial records.
• Collaborate with team members on financial projects and initiatives.
• Ensure accuracy and integrity of financial data processed.
• Participate in remote team meetings, contributing insights and asking clarifying questions.
• Adhere to all company policies and procedures, including data security protocols.

• A strong academic record, preferably with coursework in finance, accounting, economics, or a related field.
• Excellent quantitative and analytical skills.
• Proficiency in Microsoft Excel, including experience with formulas, pivot tables, and data visualization.
• Strong attention to detail and accuracy.
• Excellent written and verbal communication skills.
• Ability to work independently and manage time effectively in a remote setting.
• A proactive approach to learning and problem-solving.
• High school diploma or equivalent required; a bachelor's degree in a relevant field is highly preferred.
• A reliable internet connection and a suitable home office setup.
• Demonstrated interest in the banking and finance industry.