Decision Analytics Associate Consultant - Bioinformatics

ZS is a place where passion changes lives

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side‑by‑side with a powerful collective of thinkers and experts shaping life‑changing solutions for patients, caregivers and consumers worldwide.

ZSers drive impact by bringing a client‑first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life‑changing impact to ZS.

ZS’s Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem‑solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.

ZS’s Discovery Venture partners with clients to develop and deploy in silico approaches that accelerate the discovery of safer, more effective therapeutics. We work closely with other ZS practices, bringing hands‑on scientific expertise to enhance both technology and strategy initiatives. As a Venture within ZS, we continuously develop, test, and refine new approaches to maximize impact for our clients and the patients they serve.

This unique position enables us to combine agility and innovation with the resources and knowledge of ZS’s 13,000+ global team. ZS is expanding the Discovery Venture and seeking driven, curious, and creative experts to help shape the practice area, collaborate across ZS’s R&D teams, and deliver excellent outcomes for clients.

• 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

• 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 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…