Early Post-Doctoral Researcher -Bioinformatics at KEMRI Wellcome Trust Research Programme (KWTRP) – March 2024

Early Post-Doctoral Researcher -Bioinformatics

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.

Submit Your Application

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