Statistical Genetics Platform Engineer at Eli Lilly and Company

Boston, Massachusetts, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Pharmaceuticals, BiotechnologyIndustries

Requirements

Master’s in Computer Science, Statistical Genetics, Bioinformatics or related field and 6+ years post-Master’s experience (in industry or large-scale non-academic institutions, e.g. Broad, NIH)
OR PhD in Computer Science, Statistical Genetics, Bioinformatics

Responsibilities

Design and implement robust, scalable computational pipelines for statistical genetics analyses, including workflows for GWAS, polygenic risk scores, fine-mapping, colocalization and variant annotation
Develop and maintain platform tools and APIs that enable researchers to efficiently process genomic data at scale (biobanks, population cohorts, multi-omics datasets)
Build infrastructure for reproducible research, including containerization, workflow orchestration, and version control for analytical pipelines
Optimize computational performance of statistical genetics algorithms and implement distributed computing solutions for large-scale analyses
Collaborate with statistical geneticists and computational biologists to translate methodological innovations into production-ready software
Establish best practices for data access, quality control, validation, and documentation across genomic analysis pipelines
Maintain and improve existing codebases, ensuring code quality, testing coverage, and comprehensive documentation
Monitor platform performance, solve issues, and implement improvements based on user feedback and evolving research needs
Support the integration of AI-based tools and required MLOps infrastructure

Skills

Key technologies and capabilities for this role

Statistical GeneticsHuman Genetic DataData AnalysisPlatform EngineeringData EngineeringGenomicsBioinformaticsGWASPythonRCloud PlatformsETLSQL

Questions & Answers

Common questions about this position

What are the key responsibilities of the Statistical Genetics Platform Engineer?

The role involves designing and implementing scalable computational pipelines for statistical genetics analyses like GWAS and polygenic risk scores, developing platform tools and APIs for processing genomic data, and building infrastructure for reproducible research including containerization and workflow orchestration.

What skills are required for this position?

Proficiency in designing computational pipelines for GWAS, polygenic risk scores, fine-mapping, colocalization, variant annotation, platform tools, APIs for genomic data processing, containerization, workflow orchestration, and version control is required.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What kind of team will I be working with?

You will join a team that enables statistical geneticists to derive insights from human genetic data, collaborating with team members, data engineers, and platform architects across the Lilly research environment to support goals like identifying disease targets.

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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