Fixed-Term.

Bioinformatician

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Job Description

Posted on 22nd April 2024

Apply by 7th May 2024

About CHRF

The Child Health Research Foundation (CHRF) is a leading non-profit organization dedicated to scientific research, advancing scientific knowledge, and promoting science education among diverse audiences. CHRF is registered under the NGO Affairs Bureau and was founded in 2007 by a multidisciplinary research group. We operate with the core mission to improve child health by facilitating appropriate policy decisions on the treatment and prevention of infectious diseases, through quality research and advocacy using available resources. We conduct research in four hospitals (Dhaka Shishu Hospital, Dr. MR Khan Shishu hospital, Chittagong Ma-O-Shishu Hospital, and Kumudini Women’s Medical College) and five microbiology laboratories around the country. We collaborate with different international organizations such as the Bill & Melinda Gates Foundation, World Health Organization, Edinburgh University, Stanford University, Johns Hopkins University, Centre for Disease Control, etc.

We invite applications for the position of “Bioinformatician” to join our multidisciplinary team.

Job location: Dhaka, Bangladesh.

 

If you believe that your credentials meet the outlined profile, we invite you to apply by emailing your application to hr@chrfbd.org along with your latest CV (02 pages) and cover letter (01 page) by 7th May 2024. The cover letter should include a section on why you are applying to CHRF, and another section on your strengths applicable on this position at CHRF. Applications without cover letters or cover letters that exceed 1 page or do not include the stated sections will not be considered.

Only shortlisted candidates will be contacted.

At CHRF, we believe in an equal opportunity for all. We will consider all qualified applications without regard to race, color, religion, sex, and gender or disability status.

Required Candidate Profile

  • Bachelor’s (Master’s will be preferred) in Computer Science/Information Technology with work experience with biological data or, Master’s in biological science with strong background Linux and coding expertise is required.
  • 1 to 2 years of working experience in a research laboratory will be preferred.
  • Understanding of molecular biology concepts and genomics principles is required.
  • Candidates with CS background need to be passionate about biological principles.
  • Proficiency in Linux and programming languages commonly used in bioinformatics, such as Python, or R is mandatory.
  • Working experience with bioinformatics tools on Linux, especially large-scale machine learning applications, or genome sequence data analysis (algorithms, databases, analysis and data visualization) will get preference.
  • Strong problem-solving and critical thinking skills with the ability to troubleshoot technical issues.
  • Effective communication and collaboration skills, both within a team and with other stakeholders.
  • Excellent communication skills in both English and Bangla.

Salary

Negotiable (depending on the experience and/or qualifications of the candidate).

Role

  • Develop and implement bioinformatics tools and pipelines to process, analyze, and interpret sequence datasets, including bacterial genome sequencing, viral genome sequencing, and unbiased metagenomic sequencing.
  • Continuously optimize and refine existing bioinformatics workflows to enhance accuracy, efficiency, and reproducibility.
  • Utilize a combination of biological and statistical knowledge to analyze large-scale genomic datasets and draw rigorous, actionable conclusions from biological and clinical contexts, contributing to scientific understanding and decision-making processes.
  • Stay informed about emerging tools, databases, and algorithms to continually enhance analysis capabilities and contribute to innovation within the team.
  • Document bioinformatics methods, workflows, and analysis procedures in detail, facilitating transparency and reproducibility of results.
  • Develop and curate comprehensive lecture materials for bioinformatics training programs and workshops.
  • Assist in bioinformatics training sessions ensuring thorough understanding and proficiency in the subject matter.