Bioinformatics/Phylogenetics Specialist, HIV-TRACE (Proposal)

• Serve as the expert for HIV sequence analysis, pairwise genetic distance methods, phylogenetics, and phylodynamics, providing scientific guidance to ensure analytic approaches align with current HIV surveillance and research best practices.
• Review, assess, and approve proposed changes to analytic methods, cluster detection logic, and bioinformatics workflows, ensuring scientific accuracy, reproducibility, and regulatory compliance.
• Validate analytic outputs, algorithms, and software enhancements through rigorous scientific testing, benchmarking, and quality assurance activities to maintain the integrity and reliability of cluster identification results.
• Develop and oversee strategies for synthetic, test, and validation datasets, ensuring comprehensive coverage of real-world use cases, edge cases, and performance testing scenarios.
• Evaluate sequence data quality and analytic performance, identifying potential issues related to data integrity, method assumptions, or pipeline execution and recommending corrective actions as needed.
• Advise on the modernization, optimization, and scalability of bioinformatics pipelines and computational workflows, supporting the adoption of emerging methods, technologies, and best practices to improve analytic capabilities and operational efficiency.

• Master’s Degree + 3 years of relevant experience or a PhD.
• Degrees in bioinformatics, epidemiology, public health, or a related field are required.
• Experience using computational tools to identify potential HIV transmission clusters by analyzing genetic sequence data.
• Experience developing, validating, and maintaining bioinformatics pipelines for the analysis of HIV or other infectious disease sequence data in research, surveillance, or public health environments.
• Demonstrated knowledge of phylogenetic and phylodynamic methods, including interpretation of transmission cluster analyses, molecular epidemiology findings, and genetic distance-based approaches.
• Experience collaborating with multidisciplinary teams of epidemiologists, software developers, data scientists, and public health stakeholders to translate scientific requirements into analytic solutions and system enhancements.

TSPi is an Equal Opportunity employer committed to fostering an inclusive work environment. TSPi provides market-competitive salaries and comprehensive employee benefits. 

Disclaimer: TSPi will never ask candidates for money in exchange for an offer of employment.