Bioinformatics Cloud Engineer, DevOps

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.

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location.  The anticipated wage for this position is

$112,500 - $244,200

Overview:

At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.

Position Summary:

We are looking for a skilled Bioinformatics Cloud Engineer, DevOps to join our team of engineers to play a key role in managing our cloud infrastructure, cost optimization, and implement efficient solutions for bioinformatics workflows. The ideal candidate will have hands-on experience with AWS cloud ecosystems, cost optimization strategies, and proficiency in using Terraform, Ansible or other Infrastructure as Code platforms for infrastructure management. Knowledge of bioinformatics is also required. We're seeking team players with strong technical skills, and a positive, respectful attitude to enhance our innovative work environment.

Responsibilities:

Cloud Infrastructure Management

• Design, deploy, and manage scalable and reliable AWS infrastructure to support bioinformatics workflows.

• Utilize Terraform, Ansible, or other infrastructure as a service (IaaS) provisioning platforms for service management.

Cost Optimization

• Implement cost-effective solutions and optimize resource utilization within the AWS cloud environment.

• Monitor and analyze cloud resource consumption, identifying opportunities for cost savings.

• Interface with users and ensure best practices are being followed to save on costs.

Bioinformatics Integration

• Collaborate with bioinformatics team members to understand their computational requirements and integrate cloud solutions accordingly.

• Work on optimizing and parallelizing bioinformatics workflows in the cloud environment.

Security and Compliance

• Implement and adhere to security best practices in cloud infrastructure.

• Ensure compliance with data protection regulations and internal security policies by working closely with qualification vendors and validation teams.

Collaboration

• Work closely with cross-functional teams, including bioinformaticians, data scientists, and software developers, to understand their needs and provide technical support.

Basic Requirements:

• Bachelor’s or Master’s degree in Computer Science, Bioinformatics, or a related field.

• Proven experience working with AWS cloud services, including but not limited to EC2, S3, Lambda, AWS Batch, Cost Explorer, Athena, Glue.

• Hands-on experience with Terraform, Ansible, AWS Cloud Formation for infrastructure provisioning and management.

• Strong understanding of cloud cost models and experience implementing cost optimization strategies.

• Familiarity with bioinformatics tools and workflows.

• Experience working in the biopharmaceutical or biotech industry.

Additional Preferences:

• AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Data Analytics, AWS Certified DevOps Engineer) are a plus.

• Experience with workflows (i.e. Nextflow) is a plus but not mandatory.

• Experience working cross-departmentally with groups such as Validation, QA, and Information Security a strong plus.

• Strong understanding of SQL and NoSQL databases required; big data, data lake management a plus.

• Knowledge of data security and infrastructure best practices and compliance standards.

• Excellent problem-solving skills and ability to troubleshoot complex issues.

• Strong communication and collaboration skills.

• We would prefer candidate to be located near our New York City, South San Francisco, San Diego, or Boston sites

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