Principal Scientist
6 months ago
**Summary**:
About the role The Preclinical Safety (PCS) department within the Novartis Biomedical Research Translational Medicine Unit provides world class preclinical safety profiling and assessment for optimal drug discovery, development and commercialization, with state-of-the-art regulatory compliance. As a Preclinical Safety Data Scientist, you will join our global PCS team to help us to unleash the power of data science for advancing translational safety assessment and to drive drug discovery and development. You will bring your curious, innovative, and collaborative mindset to leverage a wealth of non-clinical safety-related data generated within our department and use state-of-the-art machine learning (ML) methods and statistical techniques to accelerate the advancement of innovative medicines.
**About the Role**:
Key Responsibilities:
- Contribute to the unification, harmonization, and integration of legacy non-clinical safety-related data.
- Quickly learn and pilot the use of tools, data sources and analytical techniques needed to answer a wide range of critical business questions.
- Participate in cross-functional safety data science collaborations with Novartis Biomedical Research partners to support the early derisking of compounds, drug targets, and therapeutic modalities
- Deliver clear and concise presentations for audiences with different expertise
- In collaboration with cross-functional partners, provide scientific and strategic input to support the early derisking of compounds, drug targets, and therapeutic modalities
- Ensure quality and compliance of data analyses and resultant reports.
Essential Requirements:
- Advanced degree in a quantitative field (data science, machine learning, computer science, statistics) or life sciences, preferably with multidisciplinary background (chemoinformatics, bioinformatics, biomedical engineering, AI/ML in drug discovery or life sciences)- PhD with 2+ years or MSc/MS/M.Pharm with 6+ years of relevant work experience; Strong understanding of statistics, machine learning and deep learning
- Demonstrated knowledge of data visualization and exploratory analysis; Knowledge of Python and machine learning/deep learning libraries.
Desirable Requirement:
- Experience with reproducible data science tools and practices. Previous research experience either in academia or industry- Excellent communication skills and ability to translate analytical concepts for diverse audience and stakeholders (English is our primary language)
- Experience with generative algorithms and explainable AI. Expertise in chemoinformatics, non-clinical ADME and/or toxicology is a plus.
- Team player
- Strives for continuous learning (scientific and technical)
Commitment to Diversity & Inclusion:
- We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve._
Why Novartis: Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our
Commitment to Diversity and Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
Division
Biomedical Research
Business Unit
Pharma Research
Location
India
Site
Hyderabad (Office)
Company / Legal Entity
IN10 (FCRS = IN010) Novartis Healthcare Private Limited
Functional Area
Data Science
Job Type
Full time
Employment Type
Regular
Shift Work
No
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
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