... 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 ...
... 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 ...
... 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 ...
... 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 ...
Postdoctoral Fellow in Medical and Molecular Genetics
Bloomington, IN · On-site
$45K - $61K/yr
Basic Qualifications We seek a computational genomics postdoc to develop new methods and tools for gene regulatory networks, single-cell multi-omics integration, spatial omics, and variant effect ...
Postdoctoral Fellow in Medical and Molecular Genetics
Bloomington, IN · On-site
$45K - $61K/yr
Basic Qualifications We seek a computational genomics postdoc to develop new methods and tools for gene regulatory networks, single-cell multi-omics integration, spatial omics, and variant effect ...
Postdoctoral Fellow in Medical and Molecular Genetics
Kokomo, IN · On-site
$42K - $58K/yr
Basic Qualifications We seek a computational genomics postdoc to develop new methods and tools for gene regulatory networks, single-cell multi-omics integration, spatial omics, and variant effect ...
Postdoctoral Fellow in Medical and Molecular Genetics
Kokomo, IN · On-site
$42K - $58K/yr
Basic Qualifications We seek a computational genomics postdoc to develop new methods and tools for gene regulatory networks, single-cell multi-omics integration, spatial omics, and variant effect ...
Ancillary services including ambulatory surgery centers, in-house dispensary, advanced imaging, genetics, and genomics programs * Dedicated physician extenders to support clinical care and procedural ...
Ancillary services including ambulatory surgery centers, in-house dispensary, advanced imaging, genetics, and genomics programs * Dedicated physician extenders to support clinical care and procedural ...
Ancillary services including ambulatory surgery centers, in-house dispensary, advanced imaging, genetics, and genomics programs * Dedicated physician extenders to support clinical care and procedural ...
Ancillary services including ambulatory surgery centers, in-house dispensary, advanced imaging, genetics, and genomics programs * Dedicated physician extenders to support clinical care and procedural ...
Access ancillary services such as ambulatory surgery centers, in-house dispensary, advanced imaging, and genetics and genomics programs. * Benefit from dedicated physician extenders to assist with ...
Quick apply
Access ancillary services such as ambulatory surgery centers, in-house dispensary, advanced imaging, and genetics and genomics programs. * Benefit from dedicated physician extenders to assist with ...
Ancillary services including ambulatory surgery centers, in-house dispensary, advanced imaging, genetics, and genomics programs * Dedicated physician extenders to support clinical care and procedural ...
Ancillary services including ambulatory surgery centers, in-house dispensary, advanced imaging, genetics, and genomics programs * Dedicated physician extenders to support clinical care and procedural ...
Ancillary services including ambulatory surgery centers, in-house dispensary, advanced imaging, genetics, and genomics programs * Dedicated physician extenders to support clinical care and procedural ...
Ancillary services including ambulatory surgery centers, in-house dispensary, advanced imaging, genetics, and genomics programs * Dedicated physician extenders to support clinical care and procedural ...
Ancillary services including ambulatory surgery centers, in-house dispensary, advanced imaging, genetics, and genomics programs * Dedicated physician extenders to support clinical care and procedural ...
Ancillary services including ambulatory surgery centers, in-house dispensary, advanced imaging, genetics, and genomics programs * Dedicated physician extenders to support clinical care and procedural ...
Ancillary services including ambulatory surgery centers, in-house dispensary, advanced imaging, genetics, and genomics programs * Dedicated physician extenders to support clinical care and procedural ...
Ancillary services including ambulatory surgery centers, in-house dispensary, advanced imaging, genetics, and genomics programs * Dedicated physician extenders to support clinical care and procedural ...
Ancillary services including ambulatory surgery centers, in-house dispensary, advanced imaging, genetics, and genomics programs * Dedicated physician extenders to support clinical care and procedural ...
Ancillary services including ambulatory surgery centers, in-house dispensary, advanced imaging, genetics, and genomics programs * Dedicated physician extenders to support clinical care and procedural ...
Ancillary services including ambulatory surgery centers, in-house dispensary, advanced imaging, genetics, and genomics programs * Dedicated physician extenders to support clinical care and procedural ...
Ancillary services including ambulatory surgery centers, in-house dispensary, advanced imaging, genetics, and genomics programs * Dedicated physician extenders to support clinical care and procedural ...
Ancillary services including ambulatory surgery centers, in-house dispensary, advanced imaging, genetics, and genomics programs * Dedicated physician extenders to support clinical care and procedural ...
Ancillary services including ambulatory surgery centers, in-house dispensary, advanced imaging, genetics, and genomics programs * Dedicated physician extenders to support clinical care and procedural ...
Ancillary services including ambulatory surgery centers, in-house dispensary, advanced imaging, genetics, and genomics programs * Dedicated physician extenders to support clinical care and procedural ...
Ancillary services including ambulatory surgery centers, in-house dispensary, advanced imaging, genetics, and genomics programs * Dedicated physician extenders to support clinical care and procedural ...
Ancillary services including ambulatory surgery centers, in-house dispensary, advanced imaging, genetics, and genomics programs * Dedicated physician extenders to support clinical care and procedural ...
Ancillary services including ambulatory surgery centers, in-house dispensary, advanced imaging, genetics, and genomics programs * Dedicated physician extenders to support clinical care and procedural ...
Ancillary services including ambulatory surgery centers, in-house dispensary, advanced imaging, genetics, and genomics programs * Dedicated physician extenders to support clinical care and procedural ...
Ancillary services including ambulatory surgery centers, in-house dispensary, advanced imaging, genetics, and genomics programs * Dedicated physician extenders to support clinical care and procedural ...
Ancillary services including ambulatory surgery centers, in-house dispensary, advanced imaging, genetics, and genomics programs * Dedicated physician extenders to support clinical care and procedural ...
Ancillary services including ambulatory surgery centers, in-house dispensary, advanced imaging, genetics, and genomics programs * Dedicated physician extenders to support clinical care and procedural ...
Ancillary services including ambulatory surgery centers, in-house dispensary, advanced imaging, genetics, and genomics programs * Dedicated physician extenders to support clinical care and procedural ...
Ancillary services including ambulatory surgery centers, in-house dispensary, advanced imaging, genetics, and genomics programs * Dedicated physician extenders to support clinical care and procedural ...
Genomics Program in development * Clinical Trials * Cancer Navigator Program * Cancer Screens * Hospice * BC Plastic and Reconstructive Surgery * Community support groups * Monthly multidisciplinary ...
Genomics Program in development * Clinical Trials * Cancer Navigator Program * Cancer Screens * Hospice * BC Plastic and Reconstructive Surgery * Community support groups * Monthly multidisciplinary ...
Genomics information
See Indiana salary details
$32.8K - $46.4K
11% of jobs
$59.8K is the 25th percentile. Wages below this are outliers.
$46.4K - $60K
15% of jobs
$60K - $73.6K
7% of jobs
$73.6K - $87.2K
5% of jobs
$87.2K - $100.8K
8% of jobs
The median wage is $106.1K / yr.
$100.8K - $114.4K
9% of jobs
$114.4K - $128K
9% of jobs
$139.4K is the 75th percentile. Wages above this are outliers.
$128K - $141.6K
12% of jobs
$141.6K - $155.1K
9% of jobs
$155.1K - $168.7K
8% of jobs
$168.7K - $182.3K
5% of jobs
$32.8K
$110.1K
$182.3K
How much do genomics jobs pay per year?
As of Jun 30, 2026, the average yearly pay for genomics in Indiana is $110,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,933.00 and $143,896.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive in the Genomics position, and why are they important?
To thrive in a Genomics role, you need a strong background in molecular biology, genetics, and bioinformatics, typically supported by an advanced degree in a life science and relevant laboratory experience. Proficiency with genomic sequencing platforms (such as Illumina or Oxford Nanopore), data analysis software, and experience with databases like NCBI or Ensembl are commonly required. Critical thinking, attention to detail, and collaborative communication are essential soft skills for interpreting complex data and working within multidisciplinary teams. These competencies are important for ensuring accurate genetic analysis, driving research projects, and making meaningful scientific contributions.
What are some careers in genomics?
Careers in genomics include roles such as genomic researcher, bioinformatician, laboratory technician, genetic counselor, and clinical geneticist. These positions often require skills in molecular biology, data analysis, and familiarity with sequencing technologies and bioinformatics tools.
What is a Genomics job?
A genomics job involves studying an organism's entire genetic makeup to understand gene functions, interactions, and variations. Professionals in this field work in research, healthcare, pharmaceuticals, or biotechnology, using advanced tools like sequencing technologies and bioinformatics. Their work can help in disease research, precision medicine, agriculture, and evolutionary biology. Common roles include genomic scientists, bioinformaticians, and clinical geneticists.
Do geneticists get paid well?
Geneticists typically earn competitive salaries that vary based on experience, education, and location. According to industry data, median annual wages for geneticists are generally above the national average for scientific roles, with salaries increasing for those with advanced degrees and specialized skills in laboratory techniques and data analysis.
What job makes $10,000 a month without a degree?
In genomics, most roles require at least a degree or specialized training; however, high-paying freelance consulting or sales positions related to biotech products can sometimes reach $10,000 per month without formal degrees. These roles often rely on industry experience, networking, and technical knowledge rather than formal education alone.
What are typical daily responsibilities for someone working in Genomics?
Professionals in Genomics typically spend their days designing experiments, preparing and processing biological samples, and conducting analyses using high-throughput sequencing technologies. They also interpret large datasets using specialized bioinformatics tools, prepare reports or present findings to stakeholders, and collaborate with other scientists such as clinicians, computational biologists, or data analysts. The work environment can be a mix of laboratory work and computational data analysis, depending on the specific position. Regular team meetings and collaboration are common, especially in research or clinical settings where interdisciplinary problem-solving is essential.
What jobs in the US pay 300,000 a year?
In genomics, senior roles such as principal scientists, research directors, or biotech executives can earn $300,000 or more annually, especially with extensive experience, advanced degrees, and leadership responsibilities. These positions often require specialized skills, such as bioinformatics, data analysis, and knowledge of laboratory technologies, and are typically found in large biotech or pharmaceutical companies.
What are the most commonly searched types of Genomics jobs in Indiana? The most popular types of Genomics jobs in Indiana are:
What are popular job titles related to Genomics jobs in Indiana? For Genomics jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Genomics jobs in Indiana look for? The top searched job categories for Genomics jobs in Indiana are:
- Senior Scientist Skin Biology
- Computational Neuroscience Remote
- Weekend Science
- Evening Clinical Genomic Scientist
- Bioinformatic
- Contract Clinical Genomic Scientist
- Internship Bioinformatics Computational Biology
- Night Shift Pharmaceutical Analytical Chemistry
- Genomic Data Analyst
- Remote Bioinformatics Genetics
What cities in Indiana are hiring for Genomics jobs? Cities in Indiana with the most Genomics job openings:
Full-time
Posted 13 days ago
Eli Lilly and Company rating
8.8
Based on 62 frontline employees who took The Breakroom Quiz
10th of 73 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.
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
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