Technical Officer - Bioinformatics at APIN

Job Identification: api-99458

Job Overview

• We are seeking a talented and highly motivated Bioinformatics Scientist to join our dynamic team in the RELIANCE Project.
• The candidate will be responsible for applying bioinformatics, computational biology, and genomics expertise to analyze large-scale genomic and biological datasets.
• The Bioinformatics Scientist will collaborate with a multidisciplinary team of researchers, clinicians, and data scientists to support cutting-edge research in resistance mechanisms, diagnostics, and treatment of diseases of Public health importance.

Key Responsibilities

• Analyze high-throughput sequencing data (e.g., RNA-seq, WGS, etc.) related to studies of diseases of Public health importance.
• Integrate and interpret large-scale biological datasets to derive meaningful insights.
• Develop, implement, and optimize bioinformatics pipelines and algorithms for processing genomic data.
• Utilize machine learning models, statistical tools, and computational methods to enhance data analysis.
• Maintain and curate biological databases related to researches of diseases of public health importance and genomic studies.
• Develop and maintain bioinformatics tools for data visualization, analysis, and sharing across the project teams.
• Ensure high-quality data processing and maintain clear, reproducible workflows for all analyses.
• Collaborate closely with project scientists, clinicians, and laboratory teams to design experiments, analyze results, and interpret data in the context of TB research & other diseases of public health importance.
• Prepare scientific reports, presentations, and manuscripts based on research findings.

Qualifications & Skills
Educational Background:

• PhD or Master’s Degree in Bioinformatics, Computational Biology, Genomics, or a related field.

Technical Skills:

• Strong expertise in bioinformatics tools, pipelines, and software (e.g., GATK, Bowtie, SAMtools).
• Proficiency in programming languages such as Python, R, or Perl for data analysis and algorithm development.
• Experience with high-performance computing environments and cloud-based bioinformatics workflows.
• Familiarity with database management systems and statistical analysis tools (e.g., SQL, STATA).

Experience:

• A minimum of 7-8 years of experience in bioinformatics, particularly in genomics or infectious diseases.
• Experience with next-generation sequencing (NGS) data analysis, including WGS, RNA-seq, or similar.

Core Competencies:

• Strong analytical skills and attention to detail.
• Excellent problem-solving abilities with a focus on innovation.
• Ability to work independently and collaboratively in a multidisciplinary team environment.
• Strong communication skills, both written and verbal, for presenting findings and writing publications.
• A proactive attitude and ability to manage multiple tasks and meet deadlines.

Preferred Qualifications:

• Knowledge of the biology of public health disease pathogens and resistance mechanisms.
• Experience with machine learning techniques applied to biological data.
• Previous involvement in research projects related to infectious diseases.