Decision Analytics Associate Consultant - Bioinformatics

About the role

ZS is expanding the Discovery Venture and seeks a Decision Analytics Associate Consultant in Discovery to join our dynamic team. This role involves applying advanced multi-omics data analysis to solve novel challenges in the life sciences industry, collaborating with interdisciplinary teams, and engaging with clients to deliver impactful solutions.

Responsibilities

• Apply hands-on expertise in advanced multi-omics data analysis to solve novel challenges across the life sciences industry
• Utilize advanced bioinformatics techniques to analyze and interpret complex multi-omics datasets, providing actionable insights to address challenges in the life sciences sector
• Design, develop, and implement robust bioinformatics pipelines and workflows tailored to client-specific needs, ensuring efficient and rigorous data processing and analysis
• Collaborate with interdisciplinary teams, including researchers, data scientists, and project managers to integrate your deep understanding of bioinformatics into broader project objectives
• Serve as a subject matter expert in specific area or application of bioinformatics, to drive innovation, mentor colleagues, and share knowledge across teams
• Engage with clients to understand their challenges, present analytical findings, and offer strategic recommendations
• Develop and share insights based on ZS-driven bioinformatics innovations, positioning them within broader industry trends to inform internal teams and external stakeholders

Requirements

• Bachelor's or master's degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering
• 2-4 years of relevant post-collegiate job experience. A PhD may substitute in lieu of work experience
• Familiarity and comfort across many applications of human bioinformatics and computational biology in addition to deep and demonstrated leadership in one or more of the following: Large-scale genomic and multi-omics data analysis including GWAS, PheWAS, Molecular QTL analysis, MR, PRS, etc., Multi-omics data analysis and integration applied to oncology, immunology, cardiometabolic health or neurodegeneration, Single-cell and spatial omics, Functional genomics, epigenomics and systems biology, Flow cytometry, imaging or other advanced technique applied to drug discovery activities
• Strong data science and programming skills in R and/or Python, deep knowledge of relevant bioinformatics tools
• Demonstrated experience developing highly performant analysis pipelines / workflows including use of popular orchestration languages such as Nextflow, WDL, CWL, etc.
• Strong scientific rigor with evidence of delivering high quality, reproducible analysis
• Excellent communication, presentation and team leadership skills with an eagerness for feedback and continuous improvement
• Passion, curiosity, and growth mindset coupled with deep commitment to an open and collaborative working environment
• Client-first mentality
• Intense work ethic
• Collaborative spirit and problem-solving approach