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Computational Scientist Rdkit Jobs in Indiana (NOW HIRING)

Computational Scientist Rdkit information

What is a Computational Scientist specializing in RDKit?

A Computational Scientist specializing in RDKit is a professional who uses computational methods and the RDKit cheminformatics toolkit to analyze and model chemical structures and reactions. They often work in fields like drug discovery, materials science, or chemical engineering, leveraging RDKit for tasks such as molecular fingerprinting, property prediction, virtual screening, and data visualization. Their expertise combines advanced programming skills, a strong understanding of chemistry, and the ability to develop or optimize algorithms for chemical data analysis.

What are the key skills and qualifications needed to thrive as a Computational Scientist working with RDKit, and why are they important?

To thrive as a Computational Scientist using RDKit, you need a strong background in cheminformatics, computational chemistry, and programming, typically with an advanced degree in chemistry, bioinformatics, or a related field. Proficiency in Python, familiarity with RDKit libraries, and experience using molecular modeling and data analysis tools are essential. Critical thinking, problem-solving, and effective collaboration are important soft skills for translating scientific questions into computational solutions. These competencies enable accurate molecular data analysis, innovation in research, and successful teamwork in interdisciplinary environments.

What is the difference between Computational Scientist Rdkit vs Computational Chemist?

AspectComputational Scientist RdkitComputational Chemist
Required CredentialsDegree in Chemistry, Bioinformatics, or related; programming skills in Python; familiarity with RDKitDegree in Chemistry, Chemical Engineering, or related; strong background in molecular modeling and programming
Work EnvironmentResearch labs, biotech companies, pharmaceutical firms; focus on software development and data analysisAcademic or industrial labs; focus on experimental design, molecular simulations, and data interpretation
Industry UsageUsed in cheminformatics, drug discovery, and molecular data analysisApplied in pharmaceuticals, materials science, and chemical research

Computational Scientist Rdkit specializes in developing and applying cheminformatics tools using RDKit, often combining programming and data analysis. Computational Chemist focuses on molecular modeling, simulations, and chemical research. While both roles require chemistry knowledge and programming skills, the Computational Scientist Rdkit role emphasizes software development and data processing, whereas the Computational Chemist emphasizes experimental and theoretical chemistry applications.

How does a Computational Scientist working with RDKit typically collaborate with chemists and software engineers on research projects?

Computational Scientists specializing in RDKit often work closely with chemists to translate scientific questions into computational workflows, such as molecule property prediction or virtual screening. They also collaborate with software engineers to integrate RDKit functionalities into larger platforms or to optimize code for performance and scalability. Effective communication and project management are essential, as these interdisciplinary teams rely on regular meetings, shared documentation, and iterative feedback to ensure research goals are met efficiently. This collaborative environment not only fosters scientific innovation but also provides opportunities to learn from experts in related fields.
What cities in Indiana are hiring for Computational Scientist Rdkit jobs? Cities in Indiana with the most Computational Scientist Rdkit job openings:
Post-doctoral Computational Chemist, Advanced Molecular Design

Post-doctoral Computational Chemist, Advanced Molecular Design

Eli Lilly and Company

Indianapolis, IN • On-site

$21 - $28.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Eli Lilly and Company rating

8.8

Company rating: 8.8 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

10th of 74 rated pharmaceutical


Job description

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world.
Post-doctoral Computational Chemist Location: Indianapolis, Indiana, United States of America
At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world.
Organization Overview:
At Lilly, we serve an extraordinary purpose. For 150 years, we have worked diligently to discover medicines that make life better. These discoveries start in Lilly Research Laboratories, where our scientists work to create new medicines that will help solve our world's greatest health challenges. We are looking for a highly motivated Postdoctoral Computational Chemist to join our Advanced Molecular Design (AMD) team within Lilly Research Labs, Indianapolis, Indiana.
AMD applies cutting-edge computational methods to accelerate drug discovery across Lilly's portfolio. Our team integrates structure-based design, quantum mechanics, molecular dynamics, free energy calculations, and AI/ML approaches to accelerate and advance molecules from hit identification through clinical candidate selection.
Responsibilities:
The successful candidate will join an interactive, collaborative, and innovative scientific team to develop and apply computational methods that accelerate the discovery of new medicines.
  • Execute advanced quantum mechanical calculations, molecular dynamics simulations and free energy calculations to study protein motion, protein-ligand interactions, and protein-protein interactions in support of structure-based drug design.
  • Build and maintain informatic infrastructure enabling broad utilization of quantum mechanics, molecular dynamics, and free energy methods across drug discovery projects.
  • Script and automate workflows across computational software platforms to maximize throughput and reproducibility of molecular calculations.
  • Develop deep working knowledge of computational chemistry suites including Schrödinger, MOE, Gaussian/Orca/GAMESS, and one or more MD packages (OpenMM, AMBER, CHARMM, GROMACS, or Desmond).
  • Stay current with emerging methods in computational drug discovery, including AI and machine learning models for molecular property prediction and design.
  • Work as part of a multidisciplinary team-including medicinal chemists, structural biologists, biologists, statisticians, and toxicologists-to deliver computational insights that advance drug discovery projects.
  • Maintain critical timelines and communicate progress clearly through oral and written presentations at internal and external team meetings.
  • Collaborate with discovery scientists to advance portfolio molecules from leads to quality drug candidates.

Basic Requirements:
  • Ph.D. in Computational Chemistry, Computer Science, Cheminformatics, Bioinformatics, Biophysics or a related field
    with all completed requirements by August 2026
  • Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1

Additional Skills/Preferences:
  • Strong foundation in theoretical physical chemistry and organic chemistry
  • Experience with molecular dynamics simulations, quantum mechanical or free energy calculation methods applied to protein-ligand systems
  • Proficiency in Python and other scripting and programming languages
  • Ability to work effectively both independently and in a collaborative team environment
  • Knowledge of lead optimization using structure-based design and AI/ML models
  • Familiarity with ADME and toxicology concepts in the context of drug discovery
  • Experience working on HPC environment
  • Experience with cheminformatics toolkits (RDKit, OpenEye) or structural analysis platforms (Schrodinger, ChemAxon)
  • Proficiency in scientific computing libraries and APIs (MDAnalysis, NumPy, SciPy, pandas) beyond basic scripting
  • Ability to build and automate computational workflows with minimal supervision
  • Demonstrated experience with reproducible code practices and version control (GitHub/GitLab)
  • Experience integrating structural biology data (cryo-EM, X-ray crystallography, NMR or AI-predicted structures) into computational design workflows
  • Strong interpersonal, organizational, and problem-solving skills

Additional Information:
  • This is an onsite position based in Indianapolis, Indiana
  • This position is not permanent. It is a fixed-term position up to 2 years with a possible 2 year extention.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is
$58,000 - $123,200
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
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About Eli Lilly

Sourced by ZipRecruiter

Eli Lilly, based in Indianapolis, IN, US, is one of the pioneers in the pharmaceutical industry with a rich history dating back to 1876. This global pharmaceutical company focuses on discovering, developing, manufacturing and selling pharmaceutical products in approximately 120 countries. The company's product categories include endocrinology, oncology, cardiovascular, neuroscience, and immunology. Having invested over $9 billion in research and development in the past decade, Eli Lilly is also committed to creating high-quality medicines that meet real needs. As a recipient of several awards and recognitions, Eli Lilly is known for its focus on life-saving research and drug development. Their mission is to make medicines that help people live longer, healthier, and more active lives.

Industry

Pharmaceutical product wholesalers

Company size

10,000+ Employees

Headquarters location

Indianapolis, IN, US

Year founded

1876