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Trainee Bioinformatics Software Engineer Jobs in Indiana

... IT software/hardware issues and provide solutions where applicable. You will be expected to show ... You will be required to mentor and guide trainee and associate level engineers, helping them with ...

Work with Engineering and Manufacturing teams to develop deep product knowledge and accurate ... Gather feedback from trainees, dealers, and internal stakeholders to refine training approaches.

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Trainee Bioinformatics Software Engineer information

What are some common challenges faced by Trainee Bioinformatics Software Engineers when transitioning from academic projects to industry roles?

Trainee Bioinformatics Software Engineers often find the shift from academic to industry settings challenging due to differences in project scope, timelines, and collaborative expectations. In industry, there is a greater emphasis on writing maintainable, well-documented code and following software development best practices, such as version control and code reviews. Additionally, trainees must quickly adapt to working in cross-functional teams that include biologists, data scientists, and senior engineers, requiring strong communication and teamwork skills. Managing competing priorities and meeting strict deadlines can also be a new experience compared to the typically flexible timelines of academic research.

What is a Trainee Bioinformatics Software Engineer?

A Trainee Bioinformatics Software Engineer is an entry-level professional who assists in developing and maintaining software tools used to analyze biological data, such as DNA sequences or protein structures. They typically work under the supervision of experienced bioinformaticians and software engineers, learning to write code, manage databases, and process complex scientific datasets. The role often requires a mix of programming skills and a basic understanding of biology, allowing trainees to bridge the gap between computational and life sciences. As they gain experience, they contribute more significantly to research projects and the development of new bioinformatics applications.

What are the key skills and qualifications needed to thrive as a Trainee Bioinformatics Software Engineer, and why are they important?

To thrive as a Trainee Bioinformatics Software Engineer, you need a strong background in biology, computer science, or a related field, with foundational programming skills in languages like Python or R. Familiarity with bioinformatics tools, databases, and version control systems such as Git is typically required, and coursework or certifications in bioinformatics are advantageous. Analytical thinking, attention to detail, and effective communication are valuable soft skills for collaborating with interdisciplinary teams and interpreting complex data. These competencies enable you to efficiently develop software solutions and contribute to meaningful biological research.

What is the difference between Trainee Bioinformatics Software Engineer vs Junior Bioinformatics Developer?

AspectTrainee Bioinformatics Software EngineerJunior Bioinformatics Developer
Required CredentialsTypically a recent graduate or in early training, with a degree in bioinformatics, computer science, or related fieldsSimilar educational background, often entry-level or with minimal professional experience
Work EnvironmentTraining programs, internships, or entry-level projects within research labs or biotech companiesEntry-level roles in research teams or biotech firms, focusing on developing bioinformatics tools
Employer & Industry UsageUsed by companies and research institutions to train new talent in bioinformatics software developmentCommonly employed in biotech, pharma, and research organizations for initial software development tasks

The main difference is that a Trainee Bioinformatics Software Engineer is in a training or internship phase, focusing on learning and skill development, while a Junior Bioinformatics Developer is an entry-level professional actively contributing to projects. Both roles require similar educational backgrounds but differ in experience level and responsibilities.

What are the most commonly searched types of Bioinformatics Software Engineer jobs in Indiana? The most popular types of Bioinformatics Software Engineer jobs in Indiana are:
What are popular job titles related to Trainee Bioinformatics Software Engineer jobs in Indiana? For Trainee Bioinformatics Software Engineer jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Trainee Bioinformatics Software Engineer jobs? Cities in Indiana with the most Trainee Bioinformatics Software Engineer job openings:
Advisor - Data Architect, Data Foundry

Advisor - Data Architect, Data Foundry

Eli Lilly and Company

Indianapolis, IN • On-site

Full-time

Posted 9 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 72 rated pharmaceutical


Job description

Job Summary:
Eli Lilly and Company is a global healthcare leader headquartered in Indianapolis, Indiana, focused on making life better for people around the world. They are seeking Data Architects to design and build the data infrastructure necessary for AI-native drug discovery, transforming raw scientific data into actionable insights for both scientists and AI agents.
Responsibilities:
• Design and implement data models, schemas, and ontologies for chemical, biological, and automation-generated data that serve discovery workflows across the portfolio.
• Define and maintain controlled vocabularies, metadata standards, and FAIR-compliant data frameworks in partnership with Preparedness4Insight.
• Implement semantic data standards (RDF, OWL, SPARQL) and ontology engineering practices to create interoperable, machine-readable scientific data.
• Design and implement data lakehouse architecture using modern platforms (Databricks, Snowflake, or equivalent), including data storage patterns, partitioning strategies, and query optimization.
• Build and optimize ETL/ELT pipelines using Spark, dbt, or similar tools to transform raw scientific data into analytical and ML-ready formats.
• Implement real-time and streaming data integration (Kafka, Kinesis, event-driven patterns) connecting LIMS, instruments, and lab automation systems to the data infrastructure.
• Design and implement knowledge graphs (Neo4j, Amazon Neptune, TigerGraph) that capture molecular, target, pathway, and experimental relationships across the discovery landscape.
• Architect specialized data solutions: array databases (TileDB) for genomics/imaging, document stores (MongoDB) for experimental records, and vector databases for embedding-based retrieval supporting ML and RAG workflows.
• Build query and traversal patterns that enable scientists and AI agents to ask relational questions across the entire data landscape.
• Partner with scientific software engineers to ensure data architectures are implementable, performant, and well-documented.
• Collaborate with Methods4Insight to design data structures that support analytical model training, deployment, and evaluation.
• Work with Tech@Lilly to define scaling strategies, ensure enterprise compliance, and transition data architectures to production-grade management.
• Contribute to build-versus-buy-versus-adopt decisions by evaluating commercial and open-source data platforms against Data Foundry requirements.
Qualifications:
Required:
• M.S. or PhD in Computer Science, Data Science, Bioinformatics, Computational Biology, Information Science, or related STEM field
• MS (with 6+ years) and PhD (with 2+ years) of data architecture, data engineering, or scientific informatics experience.
• Deep expertise in at least one of the focus areas: relational databases, data modeling and ontology engineering, data platform and lakehouse architecture (Databricks, Snowflake, Spark), or knowledge graph and specialized database systems (Neo4j, Neptune, MongoDB, TileDB)
Preferred:
• Working familiarity with multiple database paradigms — relational, graph, document, columnar, key-value — and strong SQL skills.
• Understanding of scientific data types and experimental workflows in life sciences or pharma (chemical, biological, HTE data).
• Strong communication skills with ability to translate data architecture concepts for both technical and scientific audiences.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data integration patterns.
• Pharmaceutical or biotech research industry experience, particularly in discovery data management or research informatics.
• Experience with semantic web technologies: RDF, OWL, SPARQL, Protégé, or equivalent ontology engineering tools.
• Hands-on experience with graph databases (Neo4j, Neptune, TigerGraph) and knowledge graph design patterns for scientific data.
• Data lakehouse architecture experience: Databricks (Delta Lake, Unity Catalog), Snowflake, or equivalent; ETL/ELT with Spark, dbt.
• Experience with streaming/real-time data platforms (Kafka, Kinesis, Flink) and event-driven architectures.
• Familiarity with LIMS, ELN systems (e.g., Benchling), and laboratory instrument data integration.
• Experience with vector databases (Pinecone, Weaviate, pgvector) and embedding-based retrieval for ML/RAG applications.
• Array database experience (TileDB, Zarr) for genomics, imaging, or high-dimensional scientific data.
• FAIR data principles implementation experience and Data Readiness Level frameworks.
• Scientific data standards and controlled vocabularies in chemistry (InChI, SMILES) or biology (Gene Ontology, UniProt).
• Experience with C, C++, or Rust for performance-critical data processing; familiarity with HPC data I/O patterns for large-scale scientific computations.
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

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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