Eli Lilly and Company

Director/Sr. Director - Discovery Data Team Lead Engineer, Molecule Discovery

United States

Not SpecifiedCompensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Pharmaceuticals, Biotechnology, HealthcareIndustries

Position Overview

  • Location Type: [Not Specified]
  • Job Type: Full time
  • Salary: [Not Specified]

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.

The Discovery Data Team (DDT) is accelerating molecule discovery through the integration of high-throughput lab data, next-generation sequencing (NGS), lab automation, and machine learning. We’re championing scalable, cloud-native infrastructure to power data pipelines and APIs that unify experimental and computational datasets across the molecule discovery lifecycle and modalities.

We’re seeking a Discovery Data Team Lead Engineer to design and implement robust, scalable infrastructure for ingesting and processing scientific datasets—especially NGS and experimental workflows—from lab instruments, ELNs, and cloud storage systems. You’ll play a key role in leading the and generating the technical, engineering strategy and collaborating closely with scientific and Tech@Lilly team. You will also lead the strategy to build data pipelines, APIs, and workflow orchestration platforms across AWS and modern data technologies. As the first engineer on the DDT, you’ll also work closely with bench scientists, computational scientists and bioinformatician, and Tech@Lilly on several data initiatives leading the technical strategy and influencing stakeholders and informing the leadership on the technical roadmaps.

Key Responsibilities

  • Serve as a technical lead and data architect within the Discovery Data Team in Molecule Discovery
  • Thought partner to the DDT head on engineering and technical strategy for projects
  • Influence cross-functional partners and drive the technical design of new data products and pipelines
  • Lead a team of engineers to catalyze and execute on data initiatives in molecule discovery
  • Build and scale cloud-native infrastructure to support data ingestion, processing, and retrieval for molecule discovery and sequencing workflows.
  • Develop workflows using Nextflow for NGS data processing and integrate them into larger data pipeline systems.
  • Integrate and extract data from lab instruments and ELNs (e.g., Benchling, Signals) and route them into structured data lakes or databases.
  • Develop and maintain APIs using FastAPI to interface between data sources, pipelines, and downstream applications.
  • Design and implement data pipelines using Airflow, PostgreSQL, Spark, and columnar storage formats (e.g., Parquet, Redshift).
  • Deploy, monitor, and optimize infrastructure on AWS, including services like Lambda, Batch, S3, and EC2.
  • Build secure, scalable APIs for data sharing and querying between storage systems and data consumers.
  • Work cross-functionally with bioinformaticians, data scientists, and lab informatics teams to enable seamless scientific data workflows

Requirements

  • Basic Requirements:

    • Bachelor's degree or higher degree in engineering, computer science or related sciences fields
    • 10+ years of work experience in leading engineering teams and working in cloud infrastructure or DevOps roles with strong focus on strategic leadership and data systems
  • Additional Skills/Preferences:

    • Familiarity with columnar data formats and scalable storage architectures (e.g., data lakes, Redshift, Parquet).
    • Excellent problem-solving skills and ability to troubleshoot complex issues.
    • Strong communication and collaboration skills.
    • Experience with Nextflow or similar workflow languages for NGS or scientific data processing.
    • Strong hands-on experience with AWS services, especially Lambda, Batch, S3, and container orchestration.
    • Proficiency with Python and frameworks like FastAPI.

Company Information

  • Company: Lilly
  • Headquarters: Indianapolis, Indiana
  • Focus: Healthcare, drug discovery, improving lives through medicine.

Skills

Data pipelines
APIs
Workflow orchestration
AWS
Cloud-native infrastructure
NGS
Lab automation
Bioinformatics
Machine learning
Data architecture
Scientific data processing

Eli Lilly and Company

Develops and delivers prescription medicines globally

About Eli Lilly and Company

Eli Lilly and Company is a global pharmaceutical company that focuses on discovering, developing, and delivering medicines to improve health. The company has a long history of scientific achievements, including the creation of insulin, the first life-saving treatment for diabetes. Lilly's operations involve extensive research and development to create new medications and enhance existing ones, ensuring they are safe and effective. Their products are primarily prescription medicines sold to healthcare providers for various medical conditions, including diabetes, cancer, and pain management. What sets Lilly apart from its competitors is its strong commitment to ethical practices and the protection of its products from counterfeiting. The company's goal is to enhance lives through innovative medical solutions while maintaining high standards of quality and ethics.

Indianapolis, IndianaHeadquarters
1876Year Founded
$1,180.1MTotal Funding
IPOCompany Stage
Biotechnology, HealthcareIndustries
10,001+Employees

Risks

Competition from Novo Nordisk's Ozempic may impact tirzepatide's market share.
Potential construction delays in Indiana could affect GLP-1 drug production timelines.
Regulatory challenges may hinder Kisunla's expansion in new Alzheimer's markets.

Differentiation

Eli Lilly's rich history includes the first life-saving insulin treatment.
Lilly's strategic partnerships enhance its position in neurodegenerative disease treatments.
FDA approval of Zepbound opens new therapeutic markets for sleep disorder treatments.

Upsides

Lilly's $9 billion complex in Indiana boosts GLP-1 drug production capacity.
Kisunla's approval in China expands Lilly's Alzheimer's treatment market in Asia.
Collaboration with EVA Pharma enhances Lilly's reputation as socially responsible.

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