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Integrated Genetics Jobs (NOW HIRING)

Alta Genetics

Quantitative Geneticist

Madison, WI

Identify opportunities for innovation by actively following scientific developments in genetics ... Demonstrated experience with genomic evaluation processes, including data ingestion and integration ...

Alta Genetics

Quantitative Geneticist

Madison, WI · On-site

Identify opportunities for innovation by actively following scientific developments in genetics ... Demonstrated experience with genomic evaluation processes, including data ingestion and integration ...

Trans Ova Genetics

Quantitative Geneticist

Madison, WI · On-site

Identify opportunities for innovation by actively following scientific developments in genetics ... Demonstrated experience with genomic evaluation processes, including data ingestion and integration ...

Children's Minnesota

Geneticist

Saint Paul, MN

Our comprehensive enterprise-wide practice supports end-to-end genetics services and integrates genetic counselors into critical specialty services such as hematology/oncology, cardiology ...

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How much do integrated genetics jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for integrated genetics in the United States is $75.67, according to ZipRecruiter salary data. Most workers in this role earn between $25.00 and $103.12 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Integrated Genetics Specialist, and why are they important?

To thrive as an Integrated Genetics Specialist, you need a solid background in genetics or molecular biology, typically supported by a relevant degree and laboratory experience. Familiarity with genetic testing technologies, bioinformatics tools, and laboratory information management systems (LIMS) is crucial. Strong analytical thinking, attention to detail, and effective communication skills help interpret complex data and explain results to healthcare providers or patients. These skills are vital for ensuring accurate genetic analyses and facilitating informed medical decisions.

How does an Integrated Genetics professional typically collaborate with other healthcare team members to ensure accurate genetic testing and patient care?

Integrated Genetics professionals frequently work in multidisciplinary teams, collaborating closely with genetic counselors, laboratory technologists, physicians, and sometimes bioinformaticians. They coordinate the genetic testing process by interpreting test requests, ensuring correct specimen handling, and discussing results with clinicians. Effective communication is crucial to relay complex genetic findings and support patient management decisions. Regular case meetings and consultations help align efforts and maintain high standards of patient care.

What are integrated genetics professionals and what do they do?

Integrated genetics professionals are specialists who work in the field of genetic testing, counseling, and analysis, often within healthcare or laboratory settings. They play a key role in helping diagnose genetic conditions, interpret test results, and provide guidance to patients and healthcare providers about genetic risks and potential treatments. This field integrates multiple aspects of genetics, including prenatal, postnatal, and hereditary condition testing. Their work helps inform medical decisions and supports patients and families in understanding their genetic health.

What is the difference between Integrated Genetics vs Genetic Counselor?

AspectIntegrated GeneticsGenetic Counselor
CredentialsTypically requires a genetics-related degree, often a master's in genetics or related fieldRequires a master's degree in genetic counseling and certification (ABGC)
Work EnvironmentLaboratories, hospitals, clinics, research facilitiesClinics, hospitals, private practices, counseling sessions
Industry UsageUsed by genetic testing companies and labs offering genetic servicesUsed by healthcare providers offering patient counseling and risk assessment

Integrated Genetics generally refers to the laboratory and testing aspect of genetic services, focusing on genetic analysis and testing procedures. Genetic Counselors, on the other hand, provide patient-centered counseling, interpret test results, and guide patients through genetic health decisions. Both roles are essential in the genetics industry but serve different functions within the healthcare and testing ecosystem.

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What job categories do people searching Integrated Genetics jobs look for? The top searched job categories for Integrated Genetics jobs are:
Integrated Genetics jobs near you
Infographic showing various Integrated Genetics job openings in the United States as of May 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Temporary. Highlights an 88% Physical, and 12% Remote job distribution, with an average salary of $157,396 per year, or $75.7 per hour.
Manager, Statistical Genetics

Manager, Statistical Genetics

Regeneron

Tarrytown, NY

Other

Posted yesterday

Regeneron rating

8.7

Company rating: 8.7 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

15th of 71 rated pharmaceutical

Job description

Genetic Data Analyst

This individual contributor role is responsible for conducting analyses of large-scale human genetic and phenotypic datasets for the discovery and validation of new therapeutic targets at the Regeneron Genetics Center (RGC). Work draws on both in-house and public data resources, integrating genetic data with multi-omics datasets and applying state-of-the-art statistical methodologies across analytic and translational genetics. The role collaborates closely with pre-clinical and clinical development teams colleagues across Regeneron's R&D functions.

In this role, a typical day might include the following:

  • Conduct genetic association analyses using large-scale human genetic data, including genome-wide association analysis (GWAS), exome-wide association analysis (EXWAS), rare variant analysis, Mendelian randomization, LD Score regression, polygenic risk score modeling, pleiotropy analysis, and meta-analysis.
  • Integrate genetic data with multi-omic datasets to support therapeutic target discovery and validation.
  • Develop and implement methods for data harmonization and normalization across in-house and public data resources.
  • Apply functional genomic data to prioritize variants and genes of interest.
  • Perform quality control on large-scale genetic and phenotypic datasets.
  • Identify and interrogate data-driven hypotheses as part of analytic and translational genetics work.
  • Design and independently execute analytic studies from conception to completion.
  • Collaborate with groups across Regeneron's R&D functions, including pre-clinical and clinical development teams, to advance therapeutic programs.

This role might be for you if you have:

  • Experience developing and implementing data harmonization and normalization methods
  • Experience with genetic analysis approaches including GWAS, EXWAS, rare variant analysis, Mendelian randomization, LD Score regression, polygenic risk score modeling, pleiotropy analysis, meta-analysis, and use of functional data to prioritize variants and genes
  • Ability to independently lead and manage research projects from conception to completion
  • Strong communication and collaboration skills; proven track record of effective work in interdisciplinary teams
  • Outstanding ability to summarize and present human genetic study results to diverse technical audiences, from statistical genetics specialists to biologists, drug designers, and clinicians
  • Strong programming skills in languages such as Python, R, C/C++, Bash, and/or Julia.
  • Strong quantitative skills, including applied statistical techniques such as regression and classification, Bayesian inference, and hypothesis testing. Experience with analytic and visualization tools including Git/Github, Claude, Adobe, Docker

To be considered for this role, we require:

  • PhD with at least 3+ years of relevant experience
  • Expertise in genetic association analyses using large-scale genetic data
  • Proficiency in multi-omic data integration for therapeutic target discovery
  • Experience working with immunologic datasets and/or experience with immunology is preferred

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