... and machine-actionability. • Develop RESTful APIs and microservices providing unified ... S. in Computer Science, Bioinformatics, Cheminformatics, Computational Biology, Chemistry, Biology ...
... and machine-actionability. • Develop RESTful APIs and microservices providing unified ... S. in Computer Science, Bioinformatics, Cheminformatics, Computational Biology, Chemistry, Biology ...
Director EHS
Kokomo, IN · On-site
Bachelor's Degree in Environmental Management, Engineering or Chemistry; Class "C" Wastewater ... Participate in the design and delivery of learning opportunities for personnel with the purpose of ...
Director EHS
Kokomo, IN · On-site
Bachelor's Degree in Environmental Management, Engineering or Chemistry; Class "C" Wastewater ... Participate in the design and delivery of learning opportunities for personnel with the purpose of ...
New Product Development Supervisor - Formulated Products
$48.08 - $52.88/hr
Making art facilitates tactile learning, encourages self-expression, develops craft skills and ... As CNC Operator, you will be responsible for setting up and operating machines and equipment.
Quick apply
New Product Development Supervisor - Formulated Products
$48.08 - $52.88/hr
Making art facilitates tactile learning, encourages self-expression, develops craft skills and ... As CNC Operator, you will be responsible for setting up and operating machines and equipment.
Bachelor's Degree from an accredited college or university in biology, chemistry, molecular biology ... General office equipment (i.e. computer, printer, fax, copy machine). required * Microsoft Suite ...
New
Bachelor's Degree from an accredited college or university in biology, chemistry, molecular biology ... General office equipment (i.e. computer, printer, fax, copy machine). required * Microsoft Suite ...
New
Bachelor's Degree from an accredited college or university in biology, chemistry, molecular biology ... General office equipment (i.e. computer, printer, fax, copy machine). required * Microsoft Suite ...
Bachelor's Degree from an accredited college or university in biology, chemistry, molecular biology ... General office equipment (i.e. computer, printer, fax, copy machine). required * Microsoft Suite ...
Bachelor's Degree from an accredited college or university in biology, chemistry, molecular biology ... General office equipment (i.e. computer, printer, fax, copy machine). required * Microsoft Suite ...
Bachelor's Degree from an accredited college or university in biology, chemistry, molecular biology ... General office equipment (i.e. computer, printer, fax, copy machine). required * Microsoft Suite ...
Bachelor's Degree from an accredited college or university in biology, chemistry, molecular biology ... General office equipment (i.e. computer, printer, fax, copy machine). required * Microsoft Suite ...
New
Bachelor's Degree from an accredited college or university in biology, chemistry, molecular biology ... General office equipment (i.e. computer, printer, fax, copy machine). required * Microsoft Suite ...
New
Bachelor's Degree from an accredited college or university in biology, chemistry, molecular biology ... General office equipment (i.e. computer, printer, fax, copy machine). required * Microsoft Suite ...
New
Bachelor's Degree from an accredited college or university in biology, chemistry, molecular biology ... General office equipment (i.e. computer, printer, fax, copy machine). required * Microsoft Suite ...
New
Bachelor's Degree from an accredited college or university in biology, chemistry, molecular biology ... General office equipment (i.e. computer, printer, fax, copy machine). required * Microsoft Suite ...
New
Bachelor's Degree from an accredited college or university in biology, chemistry, molecular biology ... General office equipment (i.e. computer, printer, fax, copy machine). required * Microsoft Suite ...
New
Encourage shared learning within and outside the department * Lead short and long-term business ... Basic Qualifications: * BS in pharmaceutical sciences, pharmacy, engineering, Chemistry, or a ...
Encourage shared learning within and outside the department * Lead short and long-term business ... Basic Qualifications: * BS in pharmaceutical sciences, pharmacy, engineering, Chemistry, or a ...
Encourage shared learning within and outside the department * Lead short and long-term business ... Basic Qualifications: * BS in pharmaceutical sciences, pharmacy, engineering, Chemistry, or a ...
Encourage shared learning within and outside the department * Lead short and long-term business ... Basic Qualifications: * BS in pharmaceutical sciences, pharmacy, engineering, Chemistry, or a ...
Machine Learning Chemistry information
What is a Machine Learning Chemistry job?
A Machine Learning Chemistry job involves using artificial intelligence techniques to analyze chemical data, model molecular behaviors, and accelerate discoveries in chemistry-related fields. Professionals in this role develop and apply machine learning algorithms to predict chemical properties, optimize reactions, and assist in drug design, material science, and other applications. They typically work in pharmaceuticals, materials science, or environmental chemistry, collaborating with chemists, data scientists, and engineers to solve complex chemical problems efficiently.
What are the key skills and qualifications needed to thrive in the Machine Learning Chemistry position, and why are they important?
To thrive in a Machine Learning Chemistry role, you need a solid background in chemistry, expertise in data science and machine learning algorithms, and typically an advanced degree in chemistry, computer science, or a related field. Familiarity with programming languages like Python or R and experience working with cheminformatics tools and machine learning frameworks (such as TensorFlow or scikit-learn) are essential. Strong analytical thinking, problem-solving abilities, and effective communication skills enable professionals to bridge the gap between computational work and experimental research teams. These competencies are crucial for developing innovative solutions in chemical research and ensuring successful collaboration across interdisciplinary teams.
What are the typical projects and daily responsibilities for someone working in Machine Learning Chemistry?
Professionals in Machine Learning Chemistry often work on projects such as developing predictive models for chemical property analysis, optimizing molecular structures, or advancing drug discovery through data-driven methods. Daily tasks may include data preprocessing, building and training machine learning models, validating results, and interpreting outcomes in collaboration with experimental chemists. Teamwork is common, with regular interactions between chemistry researchers, data scientists, and software engineers. This structure allows for iterative feedback and ensures that computational models align with practical lab needs. Continuous learning and adaptation are also key, as both the chemistry and machine learning fields are rapidly evolving.
More about Machine Learning Chemistry jobs
What are the most commonly searched types of Machine Learning Chemistry jobs in Indiana? The most popular types of Machine Learning Chemistry jobs in Indiana are:
What are popular job titles related to Machine Learning Chemistry jobs in Indiana? For Machine Learning Chemistry jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Machine Learning Chemistry jobs in Indiana look for? The top searched job categories for Machine Learning Chemistry jobs in Indiana are:
Full-time
Posted 8 days ago
Eli Lilly and Company rating
8.8
Based on 62 frontline employees who took The Breakroom Quiz
11th of 70 rated pharmaceutical
Job description
Job Summary:
Eli Lilly and Company is a global healthcare leader headquartered in Indianapolis, Indiana, dedicated to improving life through discovery. The Scientific Software Developer role focuses on building data infrastructure, scientific tools, and lab automation integrations to support AI-native drug discovery, collaborating closely with scientists to meet their needs and ensure effective solutions are transitioned for enterprise use.
Responsibilities:
• Design, build, and maintain data processing pipelines for complex scientific datasets (chemical, biological, High throughput experiments, and automation-generated data), ensuring FAIR compliance and machine-actionability.
• Develop RESTful APIs and microservices providing unified programmatic access to LIMS, ELNs, instruments, data warehouses (Postgres, Redshift, Snowflake), and analytical databases.
• Support continuous improvement of LIMS and adjacent systems to meet evolving scientific workflows, security, and scalability standards.
• Work directly with bench scientists to understand pain points and rapidly prototype custom applications, dashboards, and workflow tools.
• Validate prototypes through iterative scientist feedback, ensuring solutions are fit-for-purpose before transition.
• Partner with Tech@Lilly Product Engineering to hand off mature prototypes for enterprise scaling, defining transition criteria, documentation standards, and SLAs.
• Build integrations connecting lab automation equipment, scheduling systems, and instrument data streams to Data Foundry’s infrastructure with proper metadata and execution traceability.
• Develop software for robotic workflow control, instrument driver interfaces, and real-time data capture from automated platforms.
• Create modular, reusable automation workflow components scientists can configure without writing code.
• Support Scale4Insight’s Agentic Lab by building software enabling seamless interfacing between automation platforms and AI-driven experimental planning.
• Build and operate cloud-native components (AWS, Azure, or GCP) supporting containerized workflows (Kubernetes/Docker), infrastructure-as-code, CI/CD, and workflow orchestration (Prefect, Airflow, Nextflow).
• Apply DevSecOps standards including security scanning, code review, and automated testing.
• Participate in agile development with iterative improvement and cross-functional collaboration.
Qualifications:
Required:
• B.S. or M.S. in Computer Science, Bioinformatics, Cheminformatics, Computational Biology, Chemistry, Biology, Biomedical Engineering, or related STEM field.
• Bachelor with 3+ years and Master with 1+ years of scientific software development, with understanding of experimental data types and scientific workflows.
• Proficiency in Python and at least one additional language (Java, C#, Go, or TypeScript); SQL skills appropriate to level.
• 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.
Preferred:
• Experience (or demonstrated aptitude at junior levels) building RESTful APIs, data pipelines, and/or microservices for scientific or technical applications.
• Familiarity with cloud platforms (AWS, Azure, or GCP), containerization (Docker/Kubernetes), and Git.
• Strong communication skills and interest to collaborate with scientists and multi-functional teams.
• Pharmaceutical or biotech research industry experience, particularly in discovery workflows for biology, chemistry, or automation.
• LIMS/ELN experience (e.g., Benchling) and laboratory instrument integration.
• Experience integrating lab automation systems with digital platforms, including instrument control, robotic workflow orchestration, or scheduling systems (OPC-UA, serial/USB protocols, automation scheduling platforms).
• Data warehousing experience (Postgres, Redshift, BigQuery, Snowflake) and scientific data standards/ontologies.
• Hands-on experience with cheminformatics tools (RDKit, Schrödinger, MOE) or bioinformatics platforms (Biopython, Bioconductor, sequence analysis pipelines).
• Experience with scientific computing libraries (SciPy, NumPy) for numerical methods, ODE solvers, optimization, or PK/PD modeling workflows.
• Workflow orchestration (Prefect, Airflow, Nextflow, WDL) and CI/CD practices.
• Strong learning agility—willingness to step outside comfort zone and adopt new technologies to get the job done.
• Experience with C, C++, or other compiled languages for porting performance-critical scientific workflows; ability to profile and identify computational bottlenecks.
Company:
We're a medicine company turning science into healing to make life better for people around the world. Founded in 1876, the company is headquartered in Indianapolis, USA, with a team of 10001+ employees. The company is currently Late Stage.
Eli Lilly and Company is a global healthcare leader headquartered in Indianapolis, Indiana, dedicated to improving life through discovery. The Scientific Software Developer role focuses on building data infrastructure, scientific tools, and lab automation integrations to support AI-native drug discovery, collaborating closely with scientists to meet their needs and ensure effective solutions are transitioned for enterprise use.
Responsibilities:
• Design, build, and maintain data processing pipelines for complex scientific datasets (chemical, biological, High throughput experiments, and automation-generated data), ensuring FAIR compliance and machine-actionability.
• Develop RESTful APIs and microservices providing unified programmatic access to LIMS, ELNs, instruments, data warehouses (Postgres, Redshift, Snowflake), and analytical databases.
• Support continuous improvement of LIMS and adjacent systems to meet evolving scientific workflows, security, and scalability standards.
• Work directly with bench scientists to understand pain points and rapidly prototype custom applications, dashboards, and workflow tools.
• Validate prototypes through iterative scientist feedback, ensuring solutions are fit-for-purpose before transition.
• Partner with Tech@Lilly Product Engineering to hand off mature prototypes for enterprise scaling, defining transition criteria, documentation standards, and SLAs.
• Build integrations connecting lab automation equipment, scheduling systems, and instrument data streams to Data Foundry’s infrastructure with proper metadata and execution traceability.
• Develop software for robotic workflow control, instrument driver interfaces, and real-time data capture from automated platforms.
• Create modular, reusable automation workflow components scientists can configure without writing code.
• Support Scale4Insight’s Agentic Lab by building software enabling seamless interfacing between automation platforms and AI-driven experimental planning.
• Build and operate cloud-native components (AWS, Azure, or GCP) supporting containerized workflows (Kubernetes/Docker), infrastructure-as-code, CI/CD, and workflow orchestration (Prefect, Airflow, Nextflow).
• Apply DevSecOps standards including security scanning, code review, and automated testing.
• Participate in agile development with iterative improvement and cross-functional collaboration.
Qualifications:
Required:
• B.S. or M.S. in Computer Science, Bioinformatics, Cheminformatics, Computational Biology, Chemistry, Biology, Biomedical Engineering, or related STEM field.
• Bachelor with 3+ years and Master with 1+ years of scientific software development, with understanding of experimental data types and scientific workflows.
• Proficiency in Python and at least one additional language (Java, C#, Go, or TypeScript); SQL skills appropriate to level.
• 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.
Preferred:
• Experience (or demonstrated aptitude at junior levels) building RESTful APIs, data pipelines, and/or microservices for scientific or technical applications.
• Familiarity with cloud platforms (AWS, Azure, or GCP), containerization (Docker/Kubernetes), and Git.
• Strong communication skills and interest to collaborate with scientists and multi-functional teams.
• Pharmaceutical or biotech research industry experience, particularly in discovery workflows for biology, chemistry, or automation.
• LIMS/ELN experience (e.g., Benchling) and laboratory instrument integration.
• Experience integrating lab automation systems with digital platforms, including instrument control, robotic workflow orchestration, or scheduling systems (OPC-UA, serial/USB protocols, automation scheduling platforms).
• Data warehousing experience (Postgres, Redshift, BigQuery, Snowflake) and scientific data standards/ontologies.
• Hands-on experience with cheminformatics tools (RDKit, Schrödinger, MOE) or bioinformatics platforms (Biopython, Bioconductor, sequence analysis pipelines).
• Experience with scientific computing libraries (SciPy, NumPy) for numerical methods, ODE solvers, optimization, or PK/PD modeling workflows.
• Workflow orchestration (Prefect, Airflow, Nextflow, WDL) and CI/CD practices.
• Strong learning agility—willingness to step outside comfort zone and adopt new technologies to get the job done.
• Experience with C, C++, or other compiled languages for porting performance-critical scientific workflows; ability to profile and identify computational bottlenecks.
Company:
We're a medicine company turning science into healing to make life better for people around the world. Founded in 1876, the company is headquartered in Indianapolis, USA, with a team of 10001+ employees. The company is currently Late Stage.
What Eli Lilly and Company employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
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