Healthcare Businesswomen’s Association
Computational Medicinal Chemist, Computer-Aided Drug Design
Healthcare Businesswomen’s Association, San Diego, California, United States, 92189
Overview
Join our vibrant and innovative Computer-Aided Drug Discovery (CADD) team in California, where we bring together diverse talents to redefine the way Biomedical Research discovery teams validate and develop new targets. We are a driving force behind drug discovery, and we are now eagerly searching for an exceptional computational scientist to join our ranks. Imagine the opportunity to unlock hidden knowledge and disruptive insights from the vast and invaluable data collected by one of the world\'s most renowned pharmaceutical companies. Collaborating with a multidisciplinary group of scientists, you will be at the forefront of crafting inventive solutions to the most pressing drug discovery challenges, forging new paths toward groundbreaking medicines. Are you ready to seize this extraordinary chance to make a significant impact in the field of drug discovery? We invite you to embark on this journey with us, as we push the boundaries of what\'s possible in scientific exploration. Join our team and be part of a revolution that will shape the future of medicine. Together, we will transform the landscape of drug discovery, accelerate breakthroughs, and change lives. Apply now and let your expertise shine in our dynamic and forward-thinking environment. Position Details
Internal Job Title:
Senior Expert I/II, Data Science Location:
La Jolla, CA, onsite About this role: Join our CADD team in California to collaborate with a multidisciplinary group of scientists and help extract insights from large datasets to support drug discovery programs. Your Responsibilities Include
Drive the design of medicinal chemistry efforts by applying SAR, structure-based and ligand-based drug design, understanding target biology, and predictive methods for assessing on- and off-target activity, physical properties, PK/PD, and synthetic feasibility. Work at the intersection of experimental and digital technologies with emphasis on machine learning, active learning and physics-based CADD methodologies as applied to small molecule drug discovery. Stay abreast of scientific literature and engage with internal and external scientists to incorporate biological insights into lead characterization and screening initiatives. Collaborate with interdisciplinary project teams to facilitate decision-making throughout target identification, lead optimization and drug candidate nomination, applying and developing predictive models based on high-content and time-resolved screening data, including imaging techniques. Drive hypothesis generation to enhance clinical success rates for programs involving small molecules, peptides, RNAs, protein degradation, molecular glues, transient covalent inhibitors, and kinetic stabilization of drug-target complexes. Lead cross-disciplinary mechanistic studies using physics-based modeling and simulation, biophysical characterization, and cellular validation to inform discovery strategies and MoA optimization. Minimum Requirements
Advanced degree in medicinal chemistry, computational chemistry, computational biology, computational chemical biology, or related field. Candidates with a lab-based background in chemistry and biology, supplemented with strong computational experience, are encouraged to apply. 3+ years of experience working with project teams in a drug discovery environment. Proven track record of innovation through analogue design with significant impact on discovery projects is a plus. Familiarity with drug design tools, high-performance computing environments, and a strong publication history in peer-reviewed journals. Skills and Abilities
Proactively anticipates project needs with a clinical focus. Demonstrates rigor and diligence in idea substantiation, analogue design, and experimentation. Strong team orientation with multitasking and adaptability in support and leadership roles. Effective listener with excellent written and oral communication skills. Proficient in data visualization to effectively communicate insights. Compensation and Benefits
The salary for this position is expected to range between: Senior Expert I, Data Science: $119,700 and $222,300 per year, and Senior Expert II, Data Science: $132,300 and $245,700 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience. Benefits include a performance-based incentive, eligibility for annual equity awards, comprehensive health, life and disability benefits, a 401(k) with company contribution and match, generous time off, and other standard benefits. To learn more about the culture, rewards and benefits we offer, please review the information provided by the company. EEO and Accessibility
EEO Statement:
The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodations:
The Novartis Group of Companies are committed to providing reasonable accommodations to individuals with disabilities. If you need accommodations for any part of the application process or to perform the essential functions of a position, please email us.reasonableaccommodations@novartis.com and include the job requisition number.
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Join our vibrant and innovative Computer-Aided Drug Discovery (CADD) team in California, where we bring together diverse talents to redefine the way Biomedical Research discovery teams validate and develop new targets. We are a driving force behind drug discovery, and we are now eagerly searching for an exceptional computational scientist to join our ranks. Imagine the opportunity to unlock hidden knowledge and disruptive insights from the vast and invaluable data collected by one of the world\'s most renowned pharmaceutical companies. Collaborating with a multidisciplinary group of scientists, you will be at the forefront of crafting inventive solutions to the most pressing drug discovery challenges, forging new paths toward groundbreaking medicines. Are you ready to seize this extraordinary chance to make a significant impact in the field of drug discovery? We invite you to embark on this journey with us, as we push the boundaries of what\'s possible in scientific exploration. Join our team and be part of a revolution that will shape the future of medicine. Together, we will transform the landscape of drug discovery, accelerate breakthroughs, and change lives. Apply now and let your expertise shine in our dynamic and forward-thinking environment. Position Details
Internal Job Title:
Senior Expert I/II, Data Science Location:
La Jolla, CA, onsite About this role: Join our CADD team in California to collaborate with a multidisciplinary group of scientists and help extract insights from large datasets to support drug discovery programs. Your Responsibilities Include
Drive the design of medicinal chemistry efforts by applying SAR, structure-based and ligand-based drug design, understanding target biology, and predictive methods for assessing on- and off-target activity, physical properties, PK/PD, and synthetic feasibility. Work at the intersection of experimental and digital technologies with emphasis on machine learning, active learning and physics-based CADD methodologies as applied to small molecule drug discovery. Stay abreast of scientific literature and engage with internal and external scientists to incorporate biological insights into lead characterization and screening initiatives. Collaborate with interdisciplinary project teams to facilitate decision-making throughout target identification, lead optimization and drug candidate nomination, applying and developing predictive models based on high-content and time-resolved screening data, including imaging techniques. Drive hypothesis generation to enhance clinical success rates for programs involving small molecules, peptides, RNAs, protein degradation, molecular glues, transient covalent inhibitors, and kinetic stabilization of drug-target complexes. Lead cross-disciplinary mechanistic studies using physics-based modeling and simulation, biophysical characterization, and cellular validation to inform discovery strategies and MoA optimization. Minimum Requirements
Advanced degree in medicinal chemistry, computational chemistry, computational biology, computational chemical biology, or related field. Candidates with a lab-based background in chemistry and biology, supplemented with strong computational experience, are encouraged to apply. 3+ years of experience working with project teams in a drug discovery environment. Proven track record of innovation through analogue design with significant impact on discovery projects is a plus. Familiarity with drug design tools, high-performance computing environments, and a strong publication history in peer-reviewed journals. Skills and Abilities
Proactively anticipates project needs with a clinical focus. Demonstrates rigor and diligence in idea substantiation, analogue design, and experimentation. Strong team orientation with multitasking and adaptability in support and leadership roles. Effective listener with excellent written and oral communication skills. Proficient in data visualization to effectively communicate insights. Compensation and Benefits
The salary for this position is expected to range between: Senior Expert I, Data Science: $119,700 and $222,300 per year, and Senior Expert II, Data Science: $132,300 and $245,700 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience. Benefits include a performance-based incentive, eligibility for annual equity awards, comprehensive health, life and disability benefits, a 401(k) with company contribution and match, generous time off, and other standard benefits. To learn more about the culture, rewards and benefits we offer, please review the information provided by the company. EEO and Accessibility
EEO Statement:
The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodations:
The Novartis Group of Companies are committed to providing reasonable accommodations to individuals with disabilities. If you need accommodations for any part of the application process or to perform the essential functions of a position, please email us.reasonableaccommodations@novartis.com and include the job requisition number.
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