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Statistical Genetics Jobs in Washington (NOW HIRING)

System One

Senior Financial Manager

Washington, DC · On-site

$123K - $168K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Over 15 years of SAP project management, project liaison, and statistical analysis. * Leverage ... genetic information, veteran status, marital status, or any other characteristic protected by ...

System One

Senior Financial Manager

Washington, DC · On-site

$123K - $168K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Over 15 years of SAP project management, project liaison, and statistical analysis. * Leverage ... genetic information, veteran status, marital status, or any other characteristic protected by ...

System One

Senior Financial Manager

Washington, DC · On-site

$123K - $168K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Over 15 years of SAP project management, project liaison, and statistical analysis. * Leverage ... genetic information, veteran status, marital status, or any other characteristic protected by ...

System One

Senior Financial Manager

Washington, DC · On-site

$123K - $168K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Over 15 years of SAP project management, project liaison, and statistical analysis. * Leverage ... genetic information, veteran status, marital status, or any other characteristic protected by ...

System One

Senior Financial Manager

Washington, DC · On-site

$123K - $168K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Over 15 years of SAP project management, project liaison, and statistical analysis. * Leverage ... genetic information, veteran status, marital status, or any other characteristic protected by ...

System One

Senior Financial Manager

Washington, DC · On-site

$123K - $168K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Over 15 years of SAP project management, project liaison, and statistical analysis. * Leverage ... genetic information, veteran status, marital status, or any other characteristic protected by ...

Pwc

Adobe Transformation - Senior Associate

Washington, DC · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... and statistical modeling to support clients in solving complex business problems. As a Senior ... disability; genetic information (including family medical history); veteran, marital, or ...

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Showing results 41-60

All JobsStatistical Genetics JobsStatistical Genetics Jobs in Washington

Statistical Genetics information

What does a statistical geneticist do?

A statistical geneticist analyzes genetic data using statistical methods to identify genetic factors associated with traits or diseases. They often work with large datasets, employ software tools like R or Python, and collaborate with researchers to interpret genetic information for research or clinical purposes.

What are the key skills and qualifications needed to thrive as a statistical geneticist, and why are they important?

To thrive as a Statistical Geneticist, you need a strong background in genetics, statistics, and bioinformatics, often supported by an advanced degree (such as a PhD) in genetics, statistics, or a related field. Expertise with analytical tools like R, Python, PLINK, and genome-wide association study (GWAS) software, as well as familiarity with large-scale genetic datasets, is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for interpreting data and collaborating with multidisciplinary teams. These skills are crucial for generating meaningful genetic insights, advancing research, and ensuring accurate analysis in complex genetic studies.

How to become a statistical geneticist?

To become a statistical geneticist, typically a candidate needs a bachelor's degree in genetics, statistics, or a related field, followed by a master's or Ph.D. in statistical genetics, bioinformatics, or computational biology. Developing skills in programming languages like R or Python, understanding genetic data analysis, and gaining experience through research or internships are also important steps.

What are some typical collaborative projects a statistical geneticist might work on within a multidisciplinary research team?

Statistical Geneticists frequently collaborate on projects involving genome-wide association studies (GWAS), analysis of large-scale sequencing data, and development of new statistical methods for genetic data interpretation. These projects often require close teamwork with bioinformaticians, laboratory scientists, clinicians, and data analysts to design studies, interpret findings, and translate genetic discoveries into clinical or biological insights. Such collaborations offer opportunities to contribute specialized statistical expertise while learning from other disciplines, ultimately advancing both scientific understanding and career growth.

What is the difference between Statistical Genetics vs Bioinformatics?

AspectStatistical GeneticsBioinformatics
Required CredentialsDegree in Genetics, Statistics, or related fieldsDegree in Computer Science, Bioinformatics, or related fields
Work EnvironmentResearch labs, academic institutions, healthcare settingsResearch labs, biotech companies, healthcare institutions
Industry UsageGenetic research, disease association studies, population geneticsGenomic data analysis, sequence alignment, data management

Statistical Genetics focuses on analyzing genetic data using statistical methods to understand inheritance and disease associations, while Bioinformatics emphasizes developing computational tools for managing and interpreting biological data. Both roles often collaborate but serve distinct functions within genetic research and healthcare industries.

What is statistical genetics?

Statistical genetics is a field of study that combines statistics and genetics to analyze and interpret genetic data. It focuses on understanding the genetic basis of traits and diseases by applying statistical methods to data from genome-wide association studies, family studies, and population genetics. Statistical geneticists develop models and tools to map genes that contribute to complex traits, estimate heritability, and predict genetic risk. Their work supports advances in personalized medicine, agriculture, and evolutionary biology.
What are popular job titles related to Statistical Genetics jobs in Washington? For Statistical Genetics jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Statistical Genetics jobs in Washington look for? The top searched job categories for Statistical Genetics jobs in Washington are:
What cities in Washington are hiring for Statistical Genetics jobs? Cities in Washington with the most Statistical Genetics job openings:
Statistical Genetics jobs near you
Infographic showing various Statistical Genetics job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 94% In-person, and 6% Remote job distribution.

Data Scientist / Data Analytics Scientist (VIG-DS-01.080626)

Capital Solutions Group

Fort George G Meade, MD • On-site

Full-time

Posted 6 days ago

Job description

SECURITY CLEARANCE: T S/SCI with both Polygraphs is required
POSITION:  Data Scientist     (multiple LCAT levels cited below)
REQUISITION:  VIG-DS-01.080626
LOCATION:  Ft. Meade, Maryland

JOB DESCRIPTION: 
Use data, statistical/mathematical / computer science, reasoning, programming, and knowledge of the business or mission area to reach defensible conclusions.  Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in customer-base subset data holdings. 

Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. 

Effectively communicate complex technical information to non-technical audiences. 

Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting customer-bases collection, processing, storage and analytic capabilities and limitations.

REQUIRED: 
Employ some combination (2 or more) of the following skill areas:
1. Foundations: (Mathematical, Computational, Statistical) 
2. Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)
3. Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)
(U//FOUO) Devise strategies for extracting meaning and value from large datasets. 


LCAT QUALIFICATIONS: 

CERTIFICATION:  n/a

EDUCATION + EXPERIENCE LEVEL

Data Scientist, Level 2
Bachelor's degree + 3 years relevant experience, OR
Associates Degree + 5 years relevant experience


Data Scientist, Level 3
Bachelor's degree + 10 years of relevant experience, OR
Associates Degree + 12 years relevant experience


Data Scientist, Level 4
Bachelor's degree + 15 years of relevant experience, OR
Associates Degree + 17 years relevant experience

CSG, Inc. is an Equal Opportunity / Affirmative Action employer that values the strength of diversity in the workplace. All qualified applicants will receive consideration for employment without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, veteran status, or any other characteristic protected by law.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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