Senior Scientist, Multi-Omics Analytics

Merck•Temecula, CA

11d•Onsite

About The Position

Work Your Magic with us! Start your next chapter and join MilliporeSigma. Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us. Your Role: As a Multi-Omics Analytics Senior Scientist, you will work across teams to support the creation of a sustainable platform that enables integrated data storage and analytics, supporting comprehensive analysis of next-generation sequencing (NGS), spatial omics, imaging analysis, clinical, genomic and screening data.

Requirements

PhD or equivalent experience in bioinformatics, computational biology, data science, or a related field.
5+ years of proven experience in bioinformatics.
Strong background in data analytics, storage architectures, cloud-based solutions, and database management.
Experience with primary tissues, cell and organoid models, including handling and analyzing multi-omics and imaging data.
Proficiency in programming languages such as Python, R, or similar, and familiarity with bioinformatics tools and databases.

Nice To Haves

Skilled in analyzing complex biological datasets using advanced statistical and computational methods to address scientific challenges in organoid research.
Proven ability to manage multiple projects, plan resources, track progress, and deliver results on time.
Strong written and verbal communication skills to share complex information and build relationships with global teams and stakeholders.
Excellent organizational awareness, leadership, and teamwork skills, able to work independently and collaboratively in cross-functional, international teams.
Adaptable to changing priorities while maintaining high quality under pressure.
Knowledgeable of regulatory, ethical, and health authority requirements for data management and biobanking in drug development.
Experienced in leading, mentoring junior scientists, influencing global teams, and contributing strategic input for operational excellence.

Responsibilities

Develop and implement bioinformatics pipelines for processing and analyzing high-throughput data from primary tissues and organoid experiments (e.g., RNA-seq, single-cell, spatial omics, imaging, clinical, screening data).
Manage secure, scalable data storage solutions for organoid-related datasets.
Design analytical tools for integrated cross-model analysis across diverse organoid lines.
Collaborate with R&D and technical teams to embed data analytics into research workflows.
Apply machine learning and statistical methods to derive biological insights from complex datasets.
Execute analysis strategies for NGS modalities (bulk and single-cell RNA-seq/ATAC-seq, screening data), including QC, normalization, differential analysis, pathway inference, and cross-study integration.
Ensure data quality, integrity, and regulatory compliance.
Support development of digital tools for visualization and sharing of organoid data internally and externally.
Provide technical guidance and training on bioinformatics and data management best practices to junior scientists and collaborators.