Decision Analytics Associate Consultant - Bioinformatics
Listed on 2026-06-26
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IT/Tech
AI Engineer (Applied/Software), Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Decision Analytics Associate Consultant – Discovery
This role involves applying advanced multi‑omics data analysis to solve novel challenges across the life sciences industry, leveraging bioinformatics techniques to deliver actionable insights and drive client outcomes.
What You’ll Do- 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 your area of bioinformatics, driving innovation, mentoring colleagues and sharing 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 a 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 for 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 using 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 a deep commitment to an open and collaborative working environment.
- Fluency in English.
- Client‑first mentality.
- Intense work ethic.
- Collaborative spirit and problem‑solving approach.
- Cross‑functional skills development & custom learning pathways.
- Milestone training programs aligned to career progression opportunities.
- Internal mobility paths that empower growth via s‑curves, individual contribution and role expansions.
ZS is committed to a flexible and connected way of working. Employees are onsite at clients or ZS offices three days a week, with the option to work remotely two days a week.
TravelTravel is a requirement for client‑facing roles. While some projects may be local, all client‑facing employees should be prepared to travel as needed to strengthen client relationships and enhance professional growth.
BenefitsAt ZS, we offer a comprehensive total rewards package that supports health and well‑being, financial future, time away, and professional development. Robust skill‑building programs, multiple career progression paths, internal mobility and a deeply collaborative culture provide opportunities to do meaningful work, expand capabilities and thrive on a global community.
ZS is an equal‑opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
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