Data Science, Cheminformatics & AI Lab-in-the-Loop Hit Finding
Job Location:
San Diego, CA - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
Band
Level 4Job Description Summary
The mission of Novartis is to reimagine medicine and our team exemplifies that mission by consistently pushing the boundaries of drug discovery technology and data science. We interface with biologists geneticists chemists and computational experts daily to execute integrative collaborations and bring first-in-class and best-in-class drugs to patients with urgent unmet need. We thrive in the earliest phases of drug discovery partnering with diverse disease areas to nominate the next generation of drug targets and modalities as well as elucidate complex biological mechanisms and sites of action.To extend our impact were seeking an innovative passionate and tenacious scientist to join the Data Science team in Discovery Sciences (DSc) at Novartis Biomedical Research San Diego. As an integral part of our team you will drive wet/dry lab convergence by leveraging cheminformatics AI and data science to accelerate our hit finding efforts in early drug discovery projects in strong collaboration with infrastructure computational and experimental teams. If you are passionate about impacting and innovating the field of early drug discovery and excited to join our expert dynamic and collaborative team we encourage you to apply.
Job Description
Internal Job Title: Senior Expert II Data Science
Position Location: onsite San Diego CA #LI-onsite
Role responsibilities:
Locally lead and execute the data science strategy for Lab-in-the-Loop (LitL) workflows to accelerate low-molecular-weight therapeutic discovery in close collaboration with experimental and computational partners from different departments. Champion best practices for model development and deployment within LiTL workflows including model monitoring and prediction telemetry in alignment with enterprise model initiatives.
Develop and execute in silico hit finding strategies in synergy with project teams leveraging internally available as well as external compounds from ultra large virtual (Make-on-Demand) chemical spaces. Ensure best-practice computational tools are applied to accelerate/diversify hit finding in a rapidly evolving field.
Apply in silico hit finding approaches (e.g. cheminformatics generative AI Make-on-Demand chemistry) with internal multi-modal data (e.g. structure chemogenomics gene expression imaging) to drive impact in early hit finding projects. Internalize develop and apply cutting-edge in silico methods (e.g. agentic workflows drugtarget interaction modeling) translating methodological innovation into tangible impact on discovery projects.
Drive the design and implementation of scalable robust data pipelines for high-throughput assay data in partnership with informatics and data excellence teams enabling automated and reproducible hit-finding workflows.
Essential Requirements:
PhD in cheminformatics or chemistry; or a degree in a related field (e.g. chemical biology physics or computer science) with demonstrated applicable experience.
4 years of post-graduate experience applying cheminformatics data science and machine learning approaches to hit finding in an early drug discovery setting.
Experience with hit-finding technologies such as high-throughput screening and/or advanced phenotypic screening
Excellent scientific communication including the ability to present complex data science concepts in digestible terms to diverse scientific audiences while leveraging innovative data visualization.
Demonstrated ability to work as part of an interdisciplinary team (i.e. biologists chemists data scientists automation engineers) with proactive and results-oriented communication skills. Dedication to promoting mutual respect empathy and positivity in diverse professional settings.
Strong experience working in Linux-based high-performance computing and/or cloud environments.
Proficiency in the Python scientific ecosystem along with experience in agent-based/agentic coding approaches and reproducible research best practices (version control testing documentation) databases and SQL.
Experience with implementing AI in Lab-in-the-Loop iterative or self-driving lab workflows.
Experience with Make-on-Demand and virtual spaces like Enamine REAL for hit finding.
Desirable Requirements:
Experience with orchestrating agents computational tools and physical automated screening workflows.
Experience building or integrating workflows into agentic systems for drug discovery.
Track record of turning project-specific in silico approaches into reproducible generalizable workflows that impact hit finding.
Familiarity with some of the following: ligand protein docking generative chemistry active learning drug-target interaction modeling free energy perturbation.
Track record of publication in peer-reviewed journals and/or scientific conferences.
The salary for this position is expected to range between $138600 and $257400 USD per year. The final salary offered is determined based on factors like but not limited to relevant skills andexperience and upon joining Novartis will be reviewed periodically. Novartis may change the publishedsalary range based on company and market factors.
Your compensation will include a performance-based cash incentive and depending on the level of therole eligibility to be considered for annual equity awards.
US-based eligible employees will receive a comprehensive benefits package that includes health life anddisability benefits a 401(k) with company contribution and match and a variety of other benefits. Inaddition employees are eligible for a generous time off package including vacation personal daysholidays and other leaves.
To learn more about the culture rewards and benefits we offer our people click here.
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 gender national origin age sexual orientation gender identity or expression marital or veteran status disability or any other legally protected status. We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.
Accessibility and reasonable accommodations
The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If because of a medical condition or disability you need a reasonable accommodation for any part of the application process or in order to perform the essential functions of a position please send an e-mail to call 1 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Range
Skills Desired
Artificial Intelligence (AI) Biostatistics Change Management Curious Mindset Data Governance Data Literacy Data Quality Data Science Data Visualization Deep Learning Graph Algorithms Learning Agility Logistic Regression Model Machine Learning (ML) Machine Learning Algorithms Nlp (Neuro-Linguistic Programming) And Genai Pandas (Python) Python (Programming Language) R (Programming Language) Sql (Structured Query Language) Stakeholder Engagement Statistical Analysis Time Series AnalysisAbout Company
Novartis is a global healthcare company based in Switzerland that provides solutions to the evolving needs of patients worldwide.
