ZipRecruiter

Log In

1

Cheminformatics Scientist Jobs in California (NOW HIRING)

next page

Showing results 1-20

All JobsCheminformatics Scientist JobsCheminformatics Scientist Jobs in California

Cheminformatics Scientist information

What is a cheminformatics scientist?

A Cheminformatics Scientist applies computational techniques to analyze chemical data, aiding in drug discovery, materials science, and molecular modeling. They use machine learning, data science, and cheminformatics tools to predict molecular properties, optimize compounds, and manage chemical databases. Their work bridges chemistry, computer science, and biology to accelerate research and innovation in pharmaceutical and materials industries.

What does a cheminformatics scientist do?

As a Cheminformatics Scientist, your daily work often involves processing and analyzing chemical and biological data, using computational techniques to support drug discovery, and developing predictive models for molecular properties. You may collaborate with medicinal chemists, biologists, and data scientists to design and interpret experiments or to integrate diverse datasets. Additionally, you might be tasked with maintaining or updating chemical databases and building custom algorithms or tools to address specific research questions. This role offers the opportunity to engage in innovative projects that directly impact the advancement of pharmaceutical or materials science research.

What are the key skills and qualifications needed to thrive as a cheminformatics scientist?

To thrive as a Cheminformatics Scientist, you need a strong background in chemistry, molecular biology, data analysis, and computational modeling, typically supported by an advanced degree in chemistry, bioinformatics, or a related field. Familiarity with software tools such as KNIME, Pipeline Pilot, RDKit, and programming languages like Python or R is highly valued, along with experience working with chemical databases. Strong problem-solving skills, attention to detail, collaboration, and the ability to communicate complex concepts to multidisciplinary teams are essential soft skills. These qualifications ensure that you can efficiently analyze chemical data, contribute to research projects, and work productively in dynamic scientific environments.

What are the most commonly searched types of Cheminformatics Scientist jobs in California?

The most popular types of Cheminformatics Scientist jobs in California are:

What are popular job titles related to Cheminformatics Scientist jobs in California?

For Cheminformatics Scientist jobs in California, the most frequently searched job titles are:

What job categories do people searching Cheminformatics Scientist jobs in California look for?

The top searched job categories for Cheminformatics Scientist jobs in California are:

Cheminformatics Scientist jobs near you
Infographic showing various Cheminformatics Scientist job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 10% Part Time, and 3% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Data Science, Cheminformatics & AI: Lab-in-the-Loop Hit Finding

Novartis

San Diego, CA • On-site

$138K - $257K/yr

Other

Medical, Life, Retirement, PTO

Re-posted 26 days ago

Novartis rating

7.5

Company rating: 7.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

64th of 86 rated pharmaceutical

Job description

Job 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, we're 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, drug-target 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 $138,600 and $257,400 USD per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.
Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.
US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays 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, 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 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 to perform the essential functions of a position, please send an e-mail to or call and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Salary Range
$138,600.00 - $257,400.00
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 Analysis

What Novartis employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply