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Phenotype Jobs (NOW HIRING)

Core experience with analysis of biological datasets encountered in studies of infectious disease (sequencing, protein, phenotype, or other relevant data types) * Experience with selection/evaluation ...

Clinical Genomics Analyst

Chicago, IL · On-site

$80K - $90K/yr

Evaluate variant function, potential clinical impact and genotype-phenotype relationships using scientific literature and available genomic tools * Write clear, communicable reports based on test ...

Biologist (3-5 years)

Boston, MA · On-site

$115K - $119K/yr

... phenotype engineered cells and assess immune checkpoint receptor expression • Evaluate the functional impact of genetic modifications on engineered cell phenotype and function • Design and ...

This course explores the fundamental concepts in molecular and transmission genetics in prokaryotes and eukaryotes and the applications of this foundation to the study of genotype-phenotype ...

$25 - $28/hr

Contribute to the development and optimization of in vitro differentiation protocols and production of iPSC-derived cell types especially iPSC-derived neurons Support development of disease phenotype ...

... phenotype-genotype links, reviewing a large spectrum of genetic disorders, reviewing and signing out detailed clinical test reports and communicating with referring physicians. Qualifications The ...

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Phenotype information

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$122K

$352.5K

$400K

How much do phenotype jobs pay per year?

As of Jul 14, 2026, the average yearly pay for phenotype in the United States is $352,527.00, according to ZipRecruiter salary data. Most workers in this role earn between $339,500.00 and $400,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Phenotype Data Analyst, and why are they important?

To excel as a Phenotype Data Analyst, you need a solid background in genetics, biostatistics, and data analysis, often supported by a degree in biology, genetics, or a related field. Familiarity with bioinformatics tools, statistical software (such as R or Python), and experience with large biological datasets are typically required. Strong analytical thinking, attention to detail, and effective communication skills help interpret complex data and collaborate with research teams. These competencies are crucial for accurately analyzing phenotypic data, driving research insights, and supporting scientific discovery.

What are phenotypes in biology?

Phenotypes are the observable physical characteristics or traits of an organism, such as height, eye color, or blood type. These traits result from the interaction of an organism's genetic makeup (genotype) with the environment. Phenotypes can include both visible attributes and measurable ones, like enzyme levels or behavior. Studying phenotypes helps scientists understand how genes and environment influence an organism's development and function.

What is phenotype in simple terms?

A phenotype refers to the observable traits or characteristics of an organism, such as height, eye color, or behavior, resulting from the interaction of its genes and environment. In genetics-related jobs, understanding phenotypes helps in analyzing how genetic variations influence physical or functional traits. Skills in biology, genetics, and data analysis are often relevant for roles involving phenotypic research.

What jobs are in the genetics field?

Jobs in the genetics field include genetic counselor, research scientist, molecular geneticist, bioinformatician, and laboratory technician. These roles often require knowledge of genetics, laboratory skills, and sometimes advanced degrees or certifications in genetics or related fields.

What is the difference between Phenotype vs Genotype?

AspectPhenotypeGenotype
DefinitionObservable physical and behavioral traits of an organismGenetic makeup or set of genes an organism carries
Required credentialsBiology, genetics, or related degrees; laboratory skillsGenetics, molecular biology; often similar educational background
Work environmentLaboratories, research centers, field studiesLaboratories, research settings, genetic analysis labs
Industry usageGenetics, biology, medicine, agricultureGenetics, molecular biology, biotechnology

Phenotype refers to the observable traits of an organism, while genotype describes its genetic composition. Both roles often require similar educational backgrounds and work environments, especially in genetics and biology fields. Understanding the difference helps clarify research and diagnostic processes in various biological sciences.

What is the highest paying job in genetics?

In genetics, roles such as genetic counselors, research directors, and clinical geneticists tend to have the highest salaries, often exceeding $100,000 annually. Senior positions in biotech companies or pharmaceutical firms, especially those involving leadership, research, or specialized skills like bioinformatics, can offer even higher compensation. Advanced degrees, certifications, and experience are typically required for these high-paying roles.

What biology jobs pay over $100k?

In the field of biology, roles such as senior research scientists, biomedical directors, and biotech executives often have salaries exceeding $100,000 annually. These positions typically require advanced degrees, specialized skills, and experience in areas like genomics, bioinformatics, or laboratory management.

What are some common challenges faced by professionals working in phenotype analysis, and how can they be addressed?

Professionals in phenotype analysis often encounter challenges such as managing large, complex datasets and accurately correlating phenotypic traits with genetic information. Ensuring data quality and consistency across different sources can be demanding, especially when working with diverse populations or organisms. Collaboration with geneticists, bioinformaticians, and laboratory technicians is essential to streamline workflows and validate findings. Staying updated with evolving analytical tools and methodologies can help address these challenges and contribute to more robust results.
More about Phenotype jobs
Infographic showing various Phenotype job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 98% In-person, and 2% Remote job distribution, with an average salary of $352,527 per year, or $169.5 per hour.
Postdoctoral Associate Position - Functional Genomics / Regulatory Genomics / Human Evolution & Dise

Postdoctoral Associate Position - Functional Genomics / Regulatory Genomics / Human Evolution & Dise

Yale University

New Haven, CT • On-site

Full-time

Re-posted 26 days ago


Yale University rating

8.6

Company rating: 8.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

56th of 553 rated colleges and universities


Job description

Description
The Reilly Lab seeks a highly motivated Postdoctoral Associate to join an interdisciplinary research program focused on understanding how genetic variants impact human health, evolution, and disease. The lab seeks to answer a fundamental question remaining in biology: "how do genetic changes lead to functional changes at the molecular, cellular, and phenotypic level?" The Reilly Lab is funded by the NIH, the Pew Charitable Trusts, and other foundations, and is an affiliate of the Impact of Genomic Variation on Function (IGVF) consortium as well as part of an ENCODE functional characterization center. The lab is especially interested in non-coding cis-regulatory elements (CREs) and the variation within them, using high-throughput experimental approaches such as non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning models of regulatory grammar.
The postdoctoral associate will - based on their research interest - contribute across one or more of the lab's five core themes:
  • Genomic Technology: Design and execute new, large-scale experimental screens to perturb CREs, including non-coding CRISPR screens and MPRAs.
  • Deciphering Regulatory "Grammar": Use saturation mutagenesis paired with machine-learning models to understand the rules by which CREs regulate gene expression.
  • Interrogating Genetic Architectures: Explore how combinations of variants together create a phenotype or disease state through phenotype associations and network logic models.
  • Writing Novel Genome Function: Design and validate synthetic sequences that promote cell-type-specific gene expression.
  • Exploring Evolution & Human Health: Investigate how changes in the non-coding genome shape modern human phenotypes, disease risk, and the evolution of our species, including signals of positive selection across global populations.

In addition, the postdoctoral associate will:
  • Analyze and interpret large-scale genomic, functional genomics, and population genetics datasets
  • Contribute to manuscript preparation, grant writing, and collaborative projects within the lab and across the IGVF and ENCODE consortia
  • Participate in written and oral communication of research findings
  • Prep and publish original research, including abstracts and peer-reviewed manuscripts
  • Mentor trainees (as appropriate) and participate in a highly interactive research environment

Qualifications
We're looking for inquisitive, creative, and passionate researchers with a PhD, MD, or MD/PhD (or related field such as genetics, genomics, computational biology, biochemistry, machine learning, population genetics, or evolutionary biology). The lab is multi-disciplinary, and applicants from a variety of backgrounds - including those interested in human evolution, building new genomic tools, or analyzing complex data - would find a project here. Strong communication skills and the ability to work both independently and as part of a team are essential. A two-year commitment is required.
Application Instructions
Interested postdoctoral applicants should apply via Interfolio: https://apply.interfolio.com/184726 and include (1) a CV, (2) a brief description of their scientific interests and how these intersect with the lab's interests, and (3) copies of their major manuscripts.

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