Bioinformatics Expert Job at Novartis – Life Sciences Apply Online
Are you passionate about applying advanced data science and modeling techniques to revolutionize drug discovery? Novartis is hiring Senior Expert in Data Science, Modeling & Simulation to drive innovation using AI, machine learning, and in silico tools. This role offers a unique opportunity to influence critical decision-making in early-stage pharmaceutical research and shape the future of therapeutics.
About Novartis
Novartis is a leading global medicines company dedicated to improving healthcare and access to innovative treatments. With a focus on research and development, Novartis is at the forefront of driving healthcare forward.
Job Details:
- Biomedical Research
- Pharma Research
- India
- Hyderabad (Office)
- IN10 (FCRS = IN010) Novartis Healthcare Private Limited
- Research & Development
- Full time
- Regular
- No
- Job ID: REQ-10049332
Key responsibilities:
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Act as the M&S Data Science representative on drug discovery and lead optimization programs by collaboratively contributing to project team discussions, using dry- and wet-lab data to provide scientific and strategic input to guide decisions such as compound progression and in vivo study prioritization.
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Master and advocate the use of in silico models and in-house tools, applications and data to accelerate and streamline decision-making.
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Apply data mining to understand relationships between structure and molecular properties for programs involving small molecules, peptides, and RNAs.
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Identify opportunities to create custom, project- or modality-specific in silico models and data strategy, and contribute to their development and implementation.
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Proactively seek opportunities to increase the impact and awareness of M&S Data Science through clear and concise communications with internal and external audiences or various expertise.
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Monitor and stay up to date on developments within the field of AI/ML applied to ADME and PK/PD, and data science methods applied to drug discovery.
Role requirements
Essential requirements:
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Advanced degree in life sciences with multidisciplinary background (cheminformatics, bioinformatics, biomedical engineering, AI/ML in drug discovery or life sciences, data science, computational biology, computational chemistry or related field).
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PhD with 2+ years or MSc with 6+ years of relevant work experience with deep knowledge on drug discovery and development processes.
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Experience in the application of (reproducible) data science methods, tools, and practices to drug discovery.
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Strong understanding of statistics, machine learning, and deep learning.
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Demonstrated knowledge of data visualization and exploratory analysis.
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Solid skills in programming languages, i.e., Python and R, including software development practices such as version control, testing, documentation, etc as Senior Expert.
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Knowledge of machine learning/deep learning libraries such as scikit-learn, keras, or pytorch.
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Excellent communication skills and ability to translate analytical concepts for diverse audience and stakeholders (English is our primary language).
Desirable:
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Expertise with discovery-stage PK modeling for small molecule compounds (e.g., relating ADME properties to in vivo PK; scaling of preclinical PK to human) is a plus.
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Experience with generative algorithms and explainable AI.
Languages: English
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