Geneticist Jobs
Geneticist jobs are open across pharmaceuticals, agriculture, academic research, clinical diagnostics, and biotechnology, from entry-level research associate to senior scientist and principal investigator, with specializations in molecular genetics, genomics, and population genetics. Find a role that fits from the openings below and apply directly.
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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.
What You'll Do
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
- Design, execute, and critically evaluate evidence from large population-scale datasets using Mendelian Randomization and other methods to test causal relationships between genetic variamts, 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.
- 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.
- 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
- 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.
- 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 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.
#WeAreLilly
Geneticist Jobs by Experience Level
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Who's Hiring



Top Industries Hiring
- Healthcare & Medical Services
- Education
- Non-Profit & Social Services
- Biotechnology & Pharmaceuticals
- Agriculture & Farming
What Employers Look For
The qualifications that appear most often in geneticist jobs.
- PhD in genetics, genomics, molecular biology, or a closely related life science field
- Hands-on experience with next-generation sequencing library preparation and data analysis
- Proficiency in at least one bioinformatics scripting language such as Python or R
- Experience designing and interpreting CRISPR, RNAi, or other gene-editing experiments
- Familiarity with genomic databases including NCBI, Ensembl, or ClinVar
- Demonstrated ability to present research findings and prepare scientific manuscripts
Tips for Your Geneticist Job Search
Tailor your resume to the sequencing stack
List the specific platforms you have hands-on experience with, such as Illumina short-read, Oxford Nanopore, or PacBio long-read. Hiring managers for geneticist roles scan for exact instrument names, not general phrases like 'next-generation sequencing experience.'
Lead with your publication and pipeline record
For research-track geneticist roles, your first resume section after contact details should be publications, preprints, or bioinformatics pipelines you built or contributed to. Committees and scientific hiring panels treat this as the primary signal of your independent research capability.
Apply early to roles that fit
Migrate Mate lists geneticist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter openings by your preferred organism or disease area
Geneticist job descriptions almost always specify a model organism, disease indication, or crop type. Applying only to roles that match your actual wet-lab background, whether mouse models, rare disease, or crop improvement, produces far stronger cover letters and higher callback rates.
Prepare a methods talk, not just answers
Most geneticist interview loops include a 30-to-45-minute chalk talk or seminar where you present unpublished data or a hypothetical experimental design. Rehearse a clear narrative that walks panelists through your reasoning at each decision point, not just your conclusions.
Negotiate start date and lab setup funding together
In academic and core-facility geneticist offers, startup packages, equipment budgets, and postdoc hire allowances are often more negotiable than base salary. Raise these in the same conversation as your start date so the institution treats the full offer as a single package.
Geneticist Jobs: Frequently Asked Questions
Which companies are hiring the most geneticists?
The companies hiring the most geneticists right now include Nemours, SSM Health, and University of Utah, with the largest share of openings in Florida, Texas, and Wisconsin, based on current listings on Migrate Mate as of September 2026. Demand is concentrated in pharmaceutical research, agricultural biotech, and clinical genomics diagnostics.
How many geneticist jobs are remote?
About 13% of geneticist openings are fully remote or hybrid as of September 2026, which is lower than many other science roles because most positions require bench work or supervised instrument access. Bioinformatics-focused geneticist roles and genetic counseling-adjacent positions account for the largest share of fully remote opportunities.
How do you become a geneticist?
Most geneticist positions require a PhD in genetics, genomics, or molecular biology, followed by one or more postdoctoral appointments for research-track roles. You build your candidacy by developing hands-on sequencing and gene-editing skills, publishing or contributing to peer-reviewed work, and gaining experience with bioinformatics pipelines. Industry roles in diagnostics or agriculture sometimes hire candidates with a master's degree and strong applied lab experience.
How do you get hired as a geneticist with little or no experience?
Entry points for geneticists with limited experience include research technician and associate scientist roles at biotech companies, core genomics facilities at universities, and agricultural research stations. Emphasize any hands-on sequencing, genotyping, or CRISPR work from coursework or volunteer lab time. Rotating through multiple lab environments during graduate training and co-authoring even a single methods paper strengthens your application considerably.
What does the geneticist interview process look like?
A typical geneticist interview process begins with a recruiter or hiring manager screen, followed by a technical phone interview covering your methods and experimental design reasoning. Finalists are usually invited for an on-site or virtual loop that includes a research seminar or chalk talk, one-on-one meetings with team scientists, and occasionally a written problem-solving exercise. The full process from first contact to offer commonly takes several weeks.
Where can I find and apply to geneticist jobs?
You can find and apply to geneticist jobs on Migrate Mate, which lists current openings from employers across the United States in one place. Search the listings to find roles that match your background in molecular genetics, genomics, or a related specialty, and apply directly to each listing that fits.
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