Pharmacy & Biotech

Geneticist

SOC 19-1029.03 · ESCO 2131

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Role snapshot

Overview

Studies genes and heredity by conducting experiments, sequencing DNA, and analysing patterns of inheritance. Publishes research findings and may develop therapies or diagnostic tools for genetic conditions. This role involves meticulous lab work, complex data analysis, and contributing to scientific literature and medical advancements.

Advances understanding of life's fundamental building blocks, leading to breakthroughs in disease treatment, prevention, and agricultural improvement. Contributes to personalized medicine and genetic counseling.

On the job

  • Design and execute experiments to study gene function, expression, and inheritance patterns.
  • Perform DNA sequencing, PCR, electrophoresis, and other molecular biology techniques.
  • Analyze large datasets using bioinformatics tools to identify genetic variations and their implications.
  • Prepare research findings for publication in scientific journals and present at conferences.
  • Collaborate with interdisciplinary teams to translate research into clinical applications or new technologies.
Geneticist at work

Tools & technology

PCR machinesDNA sequencersMicroscopesBioinformatics software (e.g., R, Python, BLAST)Laboratory information management systems (LIMS)Statistical analysis software (e.g., SPSS, SAS)

Average salary

$110K
MEDIAN SALARY Annual · USD
$75K Bottom 10%
$160K Top 10%

Job outlook

Growing

Job growth is expected to be above average over the next five years.

Education & training

Typically requires a Ph.D. in Genetics, Molecular Biology, Biochemistry, or a related field. Postdoctoral research experience is often essential for advanced roles.

Career pathways

WHERE YOU COULD GO

Senior Geneticist
Principal Investigator (PI)

CURRENT ROLE

Geneticist

Pharmacy & Biotech

ADJACENT MOVES

Bioinformatics Scientist
Clinical Geneticist
Postdoctoral Researcher
Research Associate Molecular Biology
Lab Manager

STARTING POINTS

Who thrives here

Interest profile

I

investigative · ICR

People who enjoy in-depth investigation, systematic problem-solving, and hands-on scientific work tend to thrive as geneticists. This role demands intellectual curiosity and meticulous adherence to protocols.

Personality characteristics

Inquisitive

Possesses a strong desire to explore complex biological questions and uncover new scientific knowledge.

Meticulous

Demonstrates exceptional attention to detail in experimental procedures and data analysis, ensuring accuracy and reproducibility.

Independent

Comfortable with extended periods of focused, solitary work in the lab or during data analysis.

Collaborative

Works effectively with research teams, sharing insights and contributing to collective scientific goals.

Resilient

Maintains composure and persistence when experiments fail or research yields unexpected results.

Analytical

Naturally inclined to break down complex problems, interpret data, and draw logical conclusions.

Best for

  • Individuals with a deep passion for understanding the genetic basis of life and disease.
  • Scientists who enjoy hands-on experimental work combined with advanced data analysis and interpretation.

Watch out for

  • The role involves significant time in a laboratory setting, which may not suit those preferring purely theoretical or office-based work.
  • Research can involve long-term projects with delayed gratification and frequent experimental setbacks.

A week in the life

A representative working week for a Geneticist — where the deep work, meetings, and admin actually land.

8am9am10am11am12pm1pm2pm3pm4pm5pm6pm
Mon
Lab meeting & planning
Experiment setup & sample preparation
Data processing & preliminary analysis
Tue
Running experiments (e.g., PCR, sequencing)
Literature review & bioinformatics analysis
Wed
Research group discussion & feedback
Grant proposal writing / manuscript drafting
Troubleshooting experiments & protocol optimization
Thu
New experiment design & reagent ordering
Journal club / seminar attendance
Complex data visualization & statistical modeling
Fri
Data interpretation & results summary
One-on-one with supervisor
Lab maintenance & equipment checks
Catch-up on emails & administrative tasks
Deep work Meeting External Social Admin

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