Green Card Geneticist Jobs
Geneticist roles at biotech firms, research hospitals, and university medical centers qualify for EB-2 and EB-3 green card sponsorship through the PERM labor certification process. Employers file a PERM application with DOL before petitioning USCIS, permanently sponsoring you rather than renewing a temporary visa.
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At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.
Function: Immunology Informatics / Human Genetics
Level: R5-R6
Location: Indy or Boston
About the Role
The Immunology Informatics team integrates human genetics into drug discovery and development across the autoimmune disease spectrum (rheumatology, gastroenterology, and dermatology). We are seeking a statistical or population geneticist to strengthen our target identification and validation efforts by applying rigorous quantitative genetics methods — including Mendelian randomization, GWAS interpretation, fine mapping co-localization, and multi-omic integration — to identify, prioritize and de-risk therapeutic targets across the immunology pipeline.
This role sits at the interface of human genetics, translational biology, and drug development strategy, working closely with target discovery, translational medicine, statistical, and bioinformatics colleagues, as well as external partners.
Target Evaluation & Genetic Evidence Assessment:
- Lead systematic genetic evidence reviews for existing and emerging immunology drug targets, synthesizing GWAS, exome/whole-genome sequencing, and rare-variant data to assess causal support and directionality (loss-of-function vs. gain-of-function phenotype concordance with therapeutic hypothesis).
- Build and maintain target evaluation frameworks that score genetic evidence quality, effect direction, and development-stage relevance across a target portfolio.
- Interrogate and interpret summary and individual levels data from public and licensed genetic resources (e.g., Open Targets, GWAS Catalog, UK Biobank, AllofUs, FinnGen) to support go/no-go and prioritization decisions for drug targets.
- Propose novel drug targets with strong human causal evidence for autoimmune diseases.
- Make decision enabling judgements on drug target quality strong scientific rationale.
Population Genetics, Mendelian Randomization, Causal Inference:
- Design, execute, and critically evaluate evidence from large population-scale datasets using Mendelian Randomization and other methods to test causal relationships between genetic variants, biomarkers/proteins and immune-mediated disease outcomes.
- Assess genetic instrument validity for Mendelian Randomization, pleiotropy, and sensitivity of MR findings (e.g., MR-Egger, weighted median, colocalization) and communicate limitations clearly to immunologists.
- Collaborate with external genetics partners and academic collaborators on specific genetics programs.
Cross-Functional Collaboration & Communication:
- Translate complex genetic and statistical findings into clear, decision-relevant summaries for target discovery teams, translational scientists, and portfolio governance.
- Contribute genetics-informed input to target nomination packages, competitive intelligence, and program strategy documents.
- Represent statistical genetics perspective in cross-functional target review forums.
Required Qualifications
- Ph.D. in statistical genetics, population genetics, genetic epidemiology, biostatistics, computational biology, or a related quantitative field (or M.D, M.S. with equivalent industry experience).
- Demonstrated experience working on large-scale population datasets, 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 (Git); basic knowledge of PLINK or other tools to manipulate large genotype datasets.
Preferred Qualifications
- Practical experience interrogating large-scale genetics/genomics databases (e.g. UK Biobank, AllofUS, Open Targets,) and their APIs.
- Demonstrated proficiency using fine-mapping, and colocalization approaches for GWAS summary statistics to refine association signals and identify causal genetic variants.
- Ability to critically evaluate statistical/analytical pipelines for genetic analysis and 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.
What Success Looks Like in This Role
- Providing a defensible, well-documented genetic evidence assessment that underpins target prioritization decisions across the immunology portfolio.
- Proposing novel targets within the immunology space.
- Ensuring that MR and other causal-inference methods are sound, appropriately caveated, and actionable for non-specialist stakeholders.
- Establishing strong working relationships with target discovery, translational medicine, and external genetics collaborators.
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women’s Initiative for Leading at Lilly (WILL).
Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is
$153,000 - $246,400
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities). Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
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Get Access To All JobsTips for Finding Green Card Sponsorship in Geneticist
Document your research credentials strategically
Compile peer-reviewed publications, patents, and grant funding records before applying. PERM requires employers to prove no qualified U.S. worker is available, and a strong publication record strengthens the specialty occupation argument for EB-2 classification.
Target employers with active PERM filings
Search DOL OFLC disclosure data by SOC code for geneticists to find employers who have filed PERM applications recently. Biotech companies and academic medical centers file far more frequently than general hospitals or research startups.
Distinguish EB-2 from EB-3 before accepting offers
Ask hiring managers which category they intend to file under. EB-2 requires an advanced degree or equivalent and offers faster priority dates for most countries, while EB-3 covers bachelor's-level professionals and has longer backlogs for India and China nationals.
Use Migrate Mate to find sponsoring employers
Search Migrate Mate to filter geneticist roles by green card sponsorship history. Targeting employers with verified PERM filing records cuts the time you spend screening positions that will never lead to permanent residency.
Negotiate PERM filing timing in your offer
Ask employers to begin the PERM prevailing wage determination with OFLC as soon as your start date is confirmed. Delays at this stage add months before the I-140 petition can be filed with USCIS, pushing back your priority date.
Verify your wage offer against OFLC Wage Search
PERM requires your offered salary to meet DOL prevailing wage levels for your specific job duties and location. Look up the wage level for your SOC code on OFLC Wage Search before signing an offer letter to confirm your employer's offer qualifies.
Green Card Geneticist: Frequently Asked Questions
Do geneticist roles qualify for EB-2 or EB-3 green card sponsorship?
Geneticist positions typically qualify for both categories. EB-2 applies when the role requires a master's degree or doctorate in genetics, molecular biology, or a related field. EB-3 covers roles where a bachelor's degree is the stated minimum. Your employer chooses the category, but the degree requirement written into the job description controls which path USCIS will accept.
How does the green card process differ from H-1B sponsorship for geneticists?
H-1B visa sponsorship is temporary, capped at 85,000 per year, and requires lottery selection. EB-2 and EB-3 green card sponsorship through PERM has no annual cap on petitions and leads to permanent residency. The tradeoff is time: PERM labor certification, I-140 approval, and priority date availability can take two to five years or longer depending on your country of birth.
Which employers sponsor green cards for geneticists most frequently?
Biotech and pharmaceutical companies, academic medical centers, and federal research institutions such as NIH-affiliated programs file PERM applications for geneticists most regularly. These employers have established immigration programs and dedicated HR teams familiar with the labor certification process. Use Migrate Mate to search for geneticist roles filtered by employers with active green card sponsorship history.
What does the PERM labor certification process involve for a geneticist role?
Your employer files a PERM application with DOL certifying that no qualified U.S. worker is available at the prevailing wage for your specific role. DOL requires a good-faith recruitment period beforehand. For geneticist positions, the specialty occupation argument is usually straightforward given the advanced degree requirements, but audit risk increases if the job duties are broadly written.
Does country of birth affect my green card timeline as a geneticist?
Yes. Priority dates for EB-2 and EB-3 are current for most nationalities, meaning there is no meaningful wait after I-140 approval. Nationals of India and China face multi-year backlogs in both categories because per-country annual limits apply. Your priority date is set when USCIS receives your I-140 petition, so filing as early as possible in your employment matters significantly.