Jobs at KEMRI Wellcome Trust Research Programme (KWTRP)

JOB PURPOSE: 

This role is responsible for ensuring that goods and services are purchased in a timely and cost-effective manner, and they’re availed to user departments in the right quality and quantity. This role serves as the main contact between internal customers and external suppliers.

Description: 

REPORTING LINES:

REPORTS TO:

• Senior Procurement Officer

FINANCIAL RESPONSIBILITIES:

• None

KEY RESPONSIBILITIES:

• Action all approved purchase requisitions, submit to prospective suppliers and expedite response for the same;
• Maintain good Supplier relations and negotiating contracts
• Evaluate and analyse the quotations submitted by proposed vendors and process local purchase orders.
• Research & evaluate Prospective Suppliers
• Compile documentation for approval by the Procurement Committee where required;
• Prepare tender documents and send out to prospective bidders;
• Receive bids from vendors, carry out evaluation and submit recommendation for awards;
• Preparation of Annual Procurement plans
• Conduct Due Diligence for Suppliers as required
• Provide support in disposal of assets declared either obsolete/no more annually or biannually); and
• Participate in the Procurement Committee as alternate Secretary to the Senior Procurement Officer.
• Assist in Supervision of Procurement Department in the absence of the Senior Procurement Officer

QUALIFICATIONS:

• Bachelor’s degree in purchasing and Supplies or in a relevant field.
• Full (CIPS- Level 6) qualification.
• Minimum of Four (4) years relevant experience in procurement; 1 Year of supervisory experience added advantage.

DESIRABLE

• Current membership with a professional body; CIPS & KISM
• Experience using an ERP system; with knowledge and experience in E-procurement Systems as an added advantage.

COMPETENCIES:

• Demonstrate high levels of integrity and confidentiality
• Excellent interpersonal, written, presentation and communication skills
• Basic analytical, problem solving and critical thinking skills;
• Team working and ability to work in diverse teams
• Flexibility, adaptability, multi-tasking and attention to detail

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JOB PURPOSE: 

To provide data management support services and oversight for UZIMA project

Description: 

REPORTING LINES:

REPORTS TO:

Principal Investigator

INDIRECT REPORTEES:

Data Clerks and Data Supervisors

FINANCIAL RESPONSIBILITIES:

None

KEY RESPONSIBILITIES:

• Preparing, updating and documenting systems requirements; overseeing design of data capturing systems and formulation of reports
• Developing systems, QCs and tools for collecting, entering, editing, cleaning, storing, validation, archiving, retrieving, organizing, and transferring of data; and carrying out data review, validation, query generation and resolution, and report generation of all records generated from the database.
• Assisting with development of screening logs and case report forms.
• Conducting recurrent information queries and baseline statistical analyses and report results generated by study sites according to the project specification.
• Developing and implementing processes and procedures for data management and movement.
• Implementing and enforcing regular data security activities such as storage, backups, archiving and user administration and resolving queries that arise
• Liaising closely with programmers to create databases, and to test and implement the various case report forms as per the project requirements.
• Providing a link between ICT and the department study teams and colleague data managers.
• Overall responsible for training, supervising and managing the departments data management and processing teams and monitoring their performance.
• Documenting system and data management procedures and processes in a manual and updating them periodically.
• Performing study specific data management duties as assigned
• Responsible for preparing work plans and for managing QC of data and systems.
• And any other duties that may be assigned from time to time.

QUALIFICATIONS:

• Bachelor’s degree in Statistics, Computer Sciences/Information Science or Information Technology or in a relevant field
• Minimum (4) years overall experience; One (1) year supervisory experience an added advantage

DESIRABLE

• Demonstrated competence in information management and statistical analysis.
• Excellent skills in systems analysis, data management, database design and structures
• Excellent computing skills, including LINUX, REDCap, DACIMA, R, Stata, and other Open-Source software.
• Experience in managing multisite, distributed data collection and integration.
• Experience of developing system documentation
• Business analysis and basic SQL skills
• Ability to handle large databases and troubleshoot issues involving complex data integration.
• Expert knowledge of maintaining and debugging live software systems and of writing and editing program documentation

COMPETENCIES:

• Demonstrate high levels of integrity and confidentiality.
• Excellent interpersonal, written, presentation and communication skills.
• Basic analytical, problem solving and critical thinking skills.
• Team working and ability to work in diverse teams.
• Flexibility, adaptability, multi-tasking and attention to detail

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JOB PURPOSE: 

The post-doctoral researcher will be responsible for

• Supervising  and overseeing ongoing work on statistical bioinformatics, data science and machine learning activities related to pathogen genomics and epidemiology.
• Supporting and contributing to the capacity-building initiatives of PEO group and KWTRP.
• Supervision and mentorship of PhD students and research assistants in the research group.
• Contributing and supporting policy engagement initiatives of PEO group.
• Developing own body of work and mobilization of research funding to support transition to research independence.

Description: 

REPORTING LINES:

REPORTS TO:

Principal Investigator

INDIRECT REPORT

Research officers and assistant research officers.

INDIRECT REPORTEES:

Ph.D. students and research assistants

JOB DESCRIPTION

The primary responsibility will be to coordinate and support a body of work focused on data analysis of epidemiological and genomic data using machine learning and data science methods.

KEY RESPONSIBILITIES:

• Gather, curate, and manage datasets related to genomic epidemiology. This will involve data cleaning, organizing, and ensuring data quality and integrity.
• Apply machine learning algorithms for the analysis of both epidemiological and genomic data and which includes variant calling, genome assembly, predicting functional regions and elements in viral genomes.
• Develop and apply statistical analysis techniques to identify patterns, trends, and associations with data.
• Develop computational tools, scripts, and dashboards to facilitate data analysis, visualization and interpretation using R, Julia and Python or other relevant programming languages and frameworks.
• Publish research findings in high-quality scientific journals and present at conferences and workshops to disseminate knowledge and contribute to the fields of public health, genomics and epidemiology of infectious diseases.
• Provide technical expertise and guidance to project teams and partners on best practices for integrating Statistical and bioinformatics pipelines including machine learning methods.
• Contribute to grant writing and proposal development to secure funding for research projects related to application of data sciences in genomics.
• Mentor and supervise junior researchers and students across the PEO and SECCAB projects involved in research projects, providing guidance and support in their professional development

QUALIFICATIONS:

• PhD in a relevant field (e.g., statistics, bioinformatics, data science, epidemiology) with a focus on statistics and machine learning.
• Strong background and demonstratable expertise in statistics including Bayesian analysis.
• Proven track record of publishing research articles in reputable scientific journals, preferably in the fields of Data Science, epidemiology, Bioinformatics, or related areas.
• Solid quantitative and strong analytical skills, including experience using statistical software (e.g. R, Python, Julia) for data analysis and interpretation.

DESIRABLE

• Excellent written and verbal communication skills, with the ability to effectively communicate complex research findings to diverse audiences.
• Ability to work effectively in multidisciplinary teams and collaborate with researchers, policymakers, and healthcare practitioners in Africa.
• Strong organizational skills, attention to detail, and ability to manage multiple tasks and deadlines.
• Willingness to travel as needed.

COMPETENCIES:

• Demonstrated high levels of confidentiality and integrity.
• Excellent interpersonal, written, presentation and communication skills.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong Management, leadership, and decision-making skills,
• Ability to build strong and diverse effective teams, delegation, and team motivation.
• Ability to build productive and collaborative relationships with varied stakeholders.