Senior Scientist - Bioinformatics

Role Description

Zoetis is seeking a highly motivated and skilled Immunologist with expertise in Next-Generation Sequencing (NGS) and multi-omics technologies to join our team in Veterinary Medical Research and Development (VMRD). The successful candidate will play a pivotal role in advancing our understanding of immune system mechanisms by integrating and analyzing complex datasets. The ideal candidate should have experience in immunology with non-model species or demonstrate translational insights from model to non-model systems.

Key Responsibilities:

• Design research studies and analyze high-dimensional data.
• Collaborate with interdisciplinary teams to drive innovative discoveries and translational applications that align with our portfolio.
• Stay current with the latest advancements in immunology, NGS technologies, sequencing methodologies, statistical approaches, and data integration techniques.
• Embrace a systems biology framework and demonstrate excellent communication skills.
• Collaborate with internal and external stakeholders, including researchers and clinicians, to translate findings into actionable outcomes.

Education and Qualifications:

• Ph.D. in Immunology, Molecular Biology, or a related discipline with coursework and doctoral research in immunology. Post-doctoral experience preferred but not essential.

Required Experience and Skills:

• Expertise in integrating DNA, RNA, protein, single cell data using multi-omics approaches (e.g., DNA-Seq, RNA-Seq, proteomics, single-cell, spatial single-cell technologies).
• Proven ability to derive meaningful biological conclusions from the integration of multiple omics datasets.
• Proficiency in designing and applying computational, statistical, and visualization methods to extract actionable insights from diverse omics data types, including animal, human, and pathogen sources, within a systems biology framework.
• Experience with pathway analysis workflows and the development of robust frameworks for understanding disease biology.
• Collaboration with stakeholders to design experiments, provide strategic methodologies, and validate hypotheses effectively.
• Proficiency in at least one programming language (e.g., Python, BASH, C, C++, R, Ruby).
• Exceptional verbal and written communication skills for effective interaction with experimental biologists, clinicians, and non-specialists.
• Demonstrated ability to work independently and collaboratively in a multidisciplinary environment.
• Experience working in a high-performance computing (HPC) environment and managing large and complex biological data is required.
• Conceptual knowledge of GWAS, microbiomes, metagenomics, variant detection (e.g., SNPs), and CNV analysis is advantageous but not required.

The following base pay range reflects the anticipated base pay for this position if a selected candidate were to be located in (Colorado). Base pay may vary based on location and other factors.

Base Pay Range: $102,000 - $125,000

The following base pay range reflects the anticipated base pay for this position if a selected candidate were to be located in (California), (NJ Remote), (NY Remote), or (Washington). Base pay may vary based on location and other factors.

Base Pay Range: $116,000 - $141,000

[This position is eligible for short-term incentive compensation.] [The position is also eligible for long-term incentive.]

Full time

Regular

Colleague

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