Fixed-Term

Junior Data Scientist

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Job Description

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. CHRF is registered under the NGO Affairs Bureau and was founded in 2007 with the core mission to improve child health by facilitating appropriate policy decisions on the treatment and prevention of infectious diseases, through research and advocacy. We are an interdisciplinary team composed of scientists, clinicians, epidemiologists, community health workers, statisticians, engineers, and mathematicians, working together on reducing the burden of infectious diseases in children. We conduct epidemiological studies to investigate different infectious diseases, such as typhoid fever, pneumococcal disease, and dengue fever. We also conduct large-scale genome sequencing and generate large genomic datasets on microbial pathogens circulating in Bangladesh. CHRF also offers workshops and courses catered to high school/university students, and young professionals under the “Building Scientists for Bangladesh” initiative.

We operate five microbiology laboratories across Bangladesh and collaborate with some of the most prestigious institutions worldwide, including the Bill & Melinda Gates Foundation, World Health Organization, National Institutes of Health, Stanford University, Massachusetts Institute of Technology, and Imperial College.

CHRF is expanding its data science team and seeking a highly skilled and motivated Junior Data Scientist. We invite application for the position “Junior Data Scientist” to join our data science team.

Job Location: Dhaka, Bangladesh.

Application Process

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 (1 - 3 pages) and letter of motivation (1 page) by 25th January, 2025. 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.

Note: Only shortlisted candidates will be contacted.

At CHRF, we believe in an equal opportunity for all. We will consider all applications from individuals from all backgrounds, regardless of race, color, religion, gender or disability status.

Required Candidate Profile

  • Education: At least a Bachelor's degree in Statistics/Mathematics/Computer Science
  • Skills:
    • - A solid foundation in statistics and interest in machine learning techniques
    • - Experience or familiarity with programming languages like Stata, R or Python (beginner level welcome)
    • - A curious mind and a problem-solving attitude – we are looking for individuals who are excited to tackle challenges and learn on the go
  • Communication: Ability to explain complex ideas clearly and collaborate effectively with diverse teams
  • Language: Proficiency in written and spoken English is essential; Proficiency in written and spoken Bangla will be given preference.

Salary

Based on experience and/or qualifications of the candidate. Other Benefits: Contributory provident fund, festival allowance (Eid/Puja/Christmas and Baishakhi) and two days weekend.

Role

  • Work with large datasets from multiple sources, learning to clean, preprocess, and analyze data with precision
  • Apply statistical techniques to uncover patterns and insights that drive policy decisions
  • Explore machine learning and data visualization tools to create impactful solutions
  • Collaborate with our data science team to ensure data accuracy and integrity
  • Contribute to CHRF’s Building Scientists for Bangladesh (BSB) initiative, inspiring the next generation of researchers
  • Stay ahead of the curve by exploring new data science trends and proposing innovative approaches
  • Take on additional responsibilities to support the team and grow your skill set