Statistical Geneticist Part Time information
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$73.6K is the 25th percentile. Wages below this are outliers.
$71.6K - $75.2K
19% of jobs
The median wage is $78.3K / yr.
$75.2K - $78.8K
20% of jobs
$78.8K - $82.4K
2% of jobs
$89.5K - $93.1K
0% of jobs
$93.1K - $96.7K
0% of jobs
$96.7K - $100.3K
0% of jobs
$100.3K - $103.9K
0% of jobs
$105.5K is the 75th percentile. Wages above this are outliers.
$103.9K - $107.5K
45% of jobs
How much do statistical geneticist part time jobs pay per year?
As of Sep 8, 2026, the average yearly pay for statistical geneticist part time in the United States is $90,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $106,500.00 per year, depending on experience, location, and employer.
A part-time statistical geneticist applies statistical methods to analyze genetic data, often with a focus on understanding the genetic basis of diseases or traits. They may work with large datasets, develop or use computational tools, and collaborate with other scientists to interpret results. In a part-time role, their responsibilities are similar to those of full-time positions but typically involve fewer hours, offering flexibility while still contributing to research or clinical projects.
To thrive as a Statistical Geneticist Part Time, you need a strong background in genetics, statistics, and data analysis, typically supported by an advanced degree in genetics, biostatistics, or a related field. Familiarity with tools such as R, Python, PLINK, and genomic databases, as well as experience with genome-wide association studies (GWAS), is essential. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for interpreting complex data and collaborating with interdisciplinary teams. These skills are important for drawing accurate scientific conclusions, advancing research, and contributing meaningfully in flexible or limited hours.
As a part-time statistical geneticist, you’ll often work closely with biologists, clinicians, and data scientists to analyze genetic data and interpret findings. Collaboration is usually facilitated through regular meetings, shared digital platforms, and coordinated project timelines, allowing you to contribute insights while balancing your part-time schedule. Clear communication and documentation are key, as you may need to update full-time colleagues on your progress and integrate your analyses with broader research efforts. This collaborative environment supports learning from interdisciplinary teams and ensures your work has a direct impact on research outcomes.
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