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in vivo Senior Scientist, Comparative Medicine

Novartis

Cambridge, MAOnsitePosted 26 days ago$98,700 - $192,400/year
Full TimeSenior LevelResearch & ScientistPharmaceutical
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Summary

The Senior Scientist will join Research Collaborations (RC) within Comparative Medicine, In Vivo Science & Technology, providing scientific leadership and hands-on expertise to design, execute, analyze, and interpret complex in vivo studies across multiple therapeutic modalities. The role will support the continued expansion of the xRNA/siRNA portfolio, development of a globally aligned PK/PD capability, and growth of specialized surgical model capabilities, including disease-relevant procedures, targeted tissue delivery, and advanced in vivo methodologies.

Job description

Your Key Responsibilities

Scientific Partnership and Study Leadership

  • Partner with project teams to define scientific questions, study objectives, and decision criteria that support drug discovery and development.
  • Lead the design, execution, analysis, and interpretation of complex in vivo research programs.
  • Evaluate study strategies, models, endpoints, and experimental approaches to ensure scientific rigor and translational relevance.
  • Integrate diverse data streams into clear recommendations and communicate scientific findings to multidisciplinary stakeholders.
  • Build collaborative partnerships across Biomedical Research, Comparative Medicine, and specialist functions.

In Vivo and Translational Science

  • Independently design, perform, and oversee complex in vivo studies using the highest ethical, technical, and scientific standards.
  • Develop, characterize, and apply disease-relevant models to address key biological and translational questions.
  • Generate, analyze, and interpret efficacy, mechanistic, translational, and PK/PD datasets to support project decision-making.
  • Integrate biomarker, pathology, imaging, phenotyping, and tissue-based endpoints into comprehensive scientific assessments.
  • Apply expertise in advanced in vivo methodologies, including phenotyping platforms and surgical models where applicable, to support project delivery and capability development.

Data Analytics, Innovation, and Operational Excellence

  • Apply statistical and computational approaches to analyze complex datasets and generate actionable scientific insights.
  • Develop and implement innovative technologies, digital workflows, and data solutions that enhance scientific quality, reproducibility, and operational efficiency.
  • Provide scientific mentorship and matrix leadership while contributing to capability development and continuous improvement initiatives.
  • Support resource planning and delivery of a diverse portfolio of studies across multiple disease areas and therapeutic modalities.
  • Champion scientific integrity, animal welfare, compliance, data quality, and adherence to 3Rs principles.

Role Requirements

Education and Experience

Bachelor's or Master's degree in Biomedical Sciences, Pharmacology, Physiology, Comparative Medicine, Life Sciences, or a related discipline. We will also consider recent PhD graduates (within last 3 years). 5+ years of relevant experience in laboratory animal research, in vivo pharmacology, translational research, or drug discovery, with a proven ability to design, execute, and deliver complex in vivo studies and research programs.

Required Qualifications

  • Extensive experience designing, executing, analyzing, and interpreting in vivo pharmacology studies within a drug discovery or translational research environment.
  • Strong expertise in efficacy, mechanism-of-action, translational pharmacology, PK/PD research, and disease-relevant model development.
  • Proficiency with data analysis and visualization tools, including R, Python, or comparable analytical platforms.
  • Experience applying data-driven approaches, digital workflows, or computational tools to support scientific decision-making and operational efficiency.
  • Demonstrated ability to translate complex scientific data into clear conclusions, recommendations, and stakeholder communications.
  • Excellent collaboration and communication skills, with a proven ability to work effectively in a matrixed research environment while maintaining high standards of scientific rigor, animal welfare, and compliance.

Preferred Qualifications

  • Experience with phenotyping platforms, longitudinal physiological assessment, surgical models (EEG, IC/ICVC (Intracranial injection/Ventricular Cannulation implant), Tissue targeted delivery), or specialized in vivo procedures.
  • Experience supporting siRNA, oligonucleotide, gene-targeting, or other emerging therapeutic modalities.
  • Experience utilizing advanced imaging approaches to support translational and mechanistic research.
  • Experience working across multiple therapeutic areas and multidisciplinary research programs.
  • Demonstrated ability to provide scientific mentorship and influence through matrix leadership.

Schedule and Physical Requirements

This is a full-time onsite position based in Cambridge, MA. The role typically follows a Monday through Friday schedule but requires flexibility to support study execution and project needs. Weekend on-call responsibilities, non-standard dosing schedules, and Biomedical Research holiday coverage may be required. The position involves regular work in laboratory and vivarium environments and requires the ability to lift up to 50 lbs., stand for extended periods, and perform repetitive-motion tasks.

Requirements

  • Bachelor's or Master's degree in Biomedical Sciences, Pharmacology, Physiology, Comparative Medicine, Life Sciences, or a related discipline
  • 5+ years of relevant experience in laboratory animal research, in vivo pharmacology, translational research, or drug discovery
  • Extensive experience designing, executing, analyzing, and interpreting in vivo pharmacology studies within a drug discovery or translational research environment
  • Strong expertise in efficacy, mechanism-of-action, translational pharmacology, PK/PD research, and disease-relevant model development
  • Proficiency with data analysis and visualization tools, including R, Python, or comparable analytical platforms
  • Experience applying data-driven approaches, digital workflows, or computational tools to support scientific decision-making and operational efficiency
  • Demonstrated ability to translate complex scientific data into clear conclusions, recommendations, and stakeholder communications
  • Excellent collaboration and communication skills, with a proven ability to work effectively in a matrixed research environment while maintaining high standards of scientific rigor, animal welfare, and compliance

Benefits

  • Health insurance
  • Life insurance
  • Disability benefits
  • 401(k) with company contribution and match
  • Paid time off
  • Performance-based cash incentive
  • Annual equity awards

Company overview

Novartis is a global pharmaceutical company headquartered in Basel, Switzerland, dedicated to reimagining medicine to improve and extend people's lives. As an innovative medicines company, Novartis focuses on developing high-value treatments that address society's greatest disease burdens through technology leadership in research and development. The company operates across five core therapeutic areas: cardiovascular, renal and metabolic diseases; immunology; neuroscience; oncology; and hematology. With a workforce of approximately 75,883 employees worldwide, Novartis reaches nearly 300 million patients across 118 countries. The company leverages advanced technology platforms including targeted protein degradation, cell therapy, gene therapy, radioligand therapy, and xRNA to develop breakthrough treatments. Novartis maintains a strong portfolio of oncology drugs and generics while continuously expanding its pipeline through strategic acquisitions and internal research. The company's commitment extends beyond drug development to ensuring global access to medical innovations through novel access approaches and patient assistance programs.

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