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Eli Lilly and Company

Statistical/Population Geneticist – Immunology Research

Eli Lilly and Company

. Lead systematic genetic evidence reviews for existing and emerging immunology drug targets .

Posted 10/28/2026full-timeIndianapolis • Massachusetts • United StatesMid-LevelSenior💰 $153,000 - $246,400 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Expertise in statistical genetics and causal inference methodologies, particularly using Mendelian Randomization, to evaluate drug targets for autoimmune diseases. Proficient in analyzing large-scale population datasets and translating complex genetic findings into actionable insights for drug development.

Highest-signal resume keywords
Ph.D. In Statistical GeneticsMendelian Randomization MethodologyProficiency In RExperience With Large-Scale Population DatasetsImmunology Population Genetics Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Causal InferenceFine-Mapping ApproachesColocalization ApproachesStatistical AnalysisGenetic Instrument Validity AssessmentData InterpretationPopulation-Scale Dataset EvaluationGenetic Evidence ReviewMulti-Omics IntegrationGenotype Dataset Manipulation
Soft Skills
Interdisciplinary CommunicationCritical EvaluationCollaboration
Tools & Technologies
RTidyverseGitPLINKGenetics/Genomics Databases
Industry Keywords
Immunology Drug TargetsGenetic EpidemiologyBiostatisticsPharmaceutical R&DGenetic Evidence Quality

About the role

Key responsibilities & impact
  • Lead systematic genetic evidence reviews for existing and emerging immunology drug targets
  • Synthesize GWAS, exome/whole-genome sequencing, and rare-variant data to assess causal support and directionality
  • Build and maintain target evaluation frameworks scoring genetic evidence quality, effect direction, and development-stage relevance
  • Interrogate and interpret summary and individual-level data from public and licensed genetic resources to support go/no-go and prioritization decisions
  • Propose novel drug targets with strong human causal evidence for autoimmune diseases
  • Make decision-enabling judgments on drug target quality using strong scientific rationale
  • Design, execute, and critically evaluate evidence from large population-scale datasets using Mendelian Randomization and other methods
  • Assess genetic instrument validity, pleiotropy, and sensitivity of MR findings
  • Collaborate with external genetics partners and academic collaborators
  • Translate complex genetic and statistical findings into clear, decision-relevant summaries
  • Contribute genetics-informed input to target nomination packages, competitive intelligence, and program strategy documents
  • Represent the statistical genetics perspective in cross-functional target review forums

Requirements

What you’ll need
  • Ph.D. in statistical genetics, population genetics, genetic epidemiology, biostatistics, computational biology, or a related quantitative field
  • Demonstrated experience working on large-scale population datasets
  • Experience with Mendelian randomization (MR) methodology and causal inference from human genetic datasets
  • Strong proficiency in R, ideally within a tidyverse-based workflow
  • Comfort with reproducible, version-controlled analysis using Git
  • Basic knowledge of PLINK or other tools to manipulate large genotype datasets
  • Practical experience interrogating large-scale genetics/genomics databases and their APIs
  • Demonstrated proficiency using fine-mapping and colocalization approaches for GWAS summary statistics
  • Ability to critically evaluate statistical/analytical pipelines for genetic analysis
  • Ability to communicate methodological trade-offs to interdisciplinary teams
  • Experience in immunology/immune-mediated population genetics
  • Experience integrating multi-omics with genetics data, including pQTL or eqTL analysis
  • Familiarity with drug target identification/validation criteria and workflows in a pharmaceutical or biotech R&D setting
  • Experience collaborating with external genetics/data partners or academic consortia

Benefits

Comp & perks
  • Company bonus depending, in part, on company and individual performance
  • Company-sponsored 401(k)
  • Pension
  • Vacation benefits
  • Medical benefits
  • Dental benefits
  • Vision benefits
  • Prescription drug benefits
  • Flexible benefits, including healthcare and/or dependent day care flexible spending accounts
  • Life insurance and death benefits
  • Certain time off and leave of absence benefits
  • Well-being benefits, including employee assistance program, fitness benefits, and employee clubs and activities
  • Employee resource groups (ERGs)