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Geneticists

Research and study the inheritance of traits at the molecular, organism or population level. May evaluate or treat patients with genetic disorders.

Median Annual Pay
$91,100
Range: $52,230 - $158,730
Training Time
10-14 years
AI Resilience
🟔AI-Augmented
Education
Post-doctoral training

šŸŽ¬Career Video

šŸ“‹Key Responsibilities

  • •Supervise or direct the work of other geneticists, biologists, technicians, or biometricians working on genetics research projects.
  • •Plan or conduct basic genomic and biological research related to areas such as regulation of gene expression, protein interactions, metabolic networks, and nucleic acid or protein complexes.
  • •Prepare results of experimental findings for presentation at professional conferences or in scientific journals.
  • •Maintain laboratory notebooks that record research methods, procedures, and results.
  • •Write grants and papers or attend fundraising events to seek research funds.
  • •Search scientific literature to select and modify methods and procedures most appropriate for genetic research goals.
  • •Review, approve, or interpret genetic laboratory results.
  • •Attend clinical and research conferences and read scientific literature to keep abreast of technological advances and current genetic research findings.

šŸ’”Inside This Career

The geneticist studies heredity and variation—investigating how traits are inherited, how genes function, and how genetic information shapes organisms from molecules to populations. A typical week blends laboratory work with computational analysis and scholarly communication. Perhaps 40% of time goes to research activities: conducting experiments, analyzing genetic data, developing methodologies. Another 30% involves data analysis and interpretation—processing genomic information, performing statistical analyses, identifying patterns. The remaining time splits between writing papers and grants, mentoring students, clinical consultation for medical geneticists, and staying current with rapidly advancing genetic research.

People who thrive as geneticists combine fascination with heredity and biological information with strong analytical skills and the ability to think across scales from molecules to populations. Successful geneticists develop expertise in specific areas—human genetics, population genetics, developmental genetics, genomics—while building the experimental and computational skills their specialty requires. They must handle the complexity of genetic systems where outcomes depend on many interacting factors. Those who struggle often cannot think systemically about genetic networks or find the computational demands of modern genetics overwhelming. Others fail because they cannot maintain engagement with both experimental and analytical aspects.

Genetics underlies understanding of heredity, evolution, development, and disease, with geneticists working on everything from rare genetic disorders to crop improvement to human ancestry. The field has been transformed by sequencing technology that makes genomic analysis routine and gene editing that enables genetic manipulation. Geneticists appear in discussions of precision medicine, genetic testing, evolutionary biology, and the genetic basis of disease and traits.

Practitioners cite the fundamental nature of genetic questions and the rapid advancement of the field as primary rewards. Understanding heredity addresses profound questions about life. The field offers diverse applications from medicine to agriculture. The technology enables previously impossible research. The work has direct relevance to human health. The field continues evolving rapidly. Common frustrations include the complexity of genetic systems where simple answers are rare, and the ethical considerations that genetic research increasingly confronts. Many find that the pace of technological change requires constant learning. The competitive funding environment creates pressure. Clinical genetics can involve delivering difficult diagnoses to families.

This career requires graduate education in genetics or related fields, with doctoral degrees standard for research positions and medical training for clinical genetics. Strong analytical, laboratory, and communication skills are essential. The role suits those fascinated by heredity and biological information who can think across multiple scales. It is poorly suited to those seeking simple answers, uncomfortable with computational work, or preferring well-established methodologies. Compensation varies from modest academic salaries to strong clinical and industry positions, with diverse opportunities in research, clinical genetics, biotechnology, and pharmaceuticals.

šŸ“ˆCareer Progression

1
Entry (10th %ile)
0-2 years experience
$52,230
$47,007 - $57,453
2
Early Career (25th %ile)
2-6 years experience
$66,400
$59,760 - $73,040
3
Mid-Career (Median)
5-15 years experience
$91,100
$81,990 - $100,210
4
Experienced (75th %ile)
10-20 years experience
$119,390
$107,451 - $131,329
5
Expert (90th %ile)
15-30 years experience
$158,730
$142,857 - $174,603

šŸ“šEducation & Training

Requirements

  • •Entry Education: Post-doctoral training
  • •Experience: Extensive experience
  • •On-the-job Training: Extensive training
  • !License or certification required

Time & Cost

Education Duration
10-14 years (typically 11)
Estimated Education Cost
$51,084 - $309,953
Source: college board (2024)

šŸ¤–AI Resilience Assessment

AI Resilience Assessment

Moderate human advantage with manageable automation risk

🟔AI-Augmented
Task Exposure
Medium

How much of this job involves tasks AI can currently perform

Automation Risk
Medium

Likelihood that AI replaces workers vs. assists them

Job Growth
Stable
0% over 10 years

(BLS 2024-2034)

Human Advantage
Moderate

How much this role relies on distinctly human capabilities

Sources: AIOE Dataset (Felten et al. 2021), BLS Projections 2024-2034, EPOCH FrameworkUpdated: 2026-01-02

šŸ’»Technology Skills

Bioinformatics toolsStatistical software (R)Programming (Python)Genomic analysis softwareLaboratory information systemsDatabase systems

⭐Key Abilities

•Written Comprehension
•Written Expression
•Oral Comprehension
•Oral Expression
•Inductive Reasoning
•Problem Sensitivity
•Deductive Reasoning
•Category Flexibility
•Fluency of Ideas
•Information Ordering

šŸ·ļøAlso Known As

Academic Pediatric GeneticistBehavioral GeneticistCardiovascular GeneticistClinical Biochemical GeneticistClinical CytogeneticistClinical GeneticistClinical Molecular GeneticistComputational GeneticistCrop Quantitative GeneticistGenetic Scientist+5 more

šŸ”—Related Careers

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šŸ”—Data Sources

Last updated: 2025-12-27O*NET Code: 19-1029.03

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