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Remote Quantitative Genetics Jobs in Virginia (NOW HIRING)

Louis, MO area - Hybrid (On-site and Remote) What You Will Do Your responsibilities will include ... a related quantitative discipline. * Exposure to geospatial data and spatial statistics.

Remote Quantitative Genetics information

What is the difference between Remote Quantitative Genetics vs Remote Bioinformatics Specialist?

AspectRemote Quantitative GeneticsRemote Bioinformatics Specialist
Required credentialsDegree in Genetics, Biology, or related field; experience in statistical analysisDegree in Bioinformatics, Computer Science, or related; programming skills
Work environmentResearch labs, biotech companies, academic institutionsResearch labs, healthcare, biotech firms, academia
Industry usageGenetics research, agriculture, medicineGenomics, personalized medicine, data analysis
Search intentComparing genetics-focused roles with data analysis jobsLooking for bioinformatics roles similar to genetics positions

Remote Quantitative Genetics and Remote Bioinformatics Specialist both involve data analysis in biological sciences. Quantitative genetics focuses on statistical analysis of genetic traits, while bioinformatics emphasizes computational analysis of biological data. Both roles often require similar degrees and are used in research and industry settings, but they differ in their specific focus areas and skill sets.

What is a remote quantitative genetics job?

Remote quantitative genetics jobs involve analyzing and interpreting genetic data using mathematical and statistical methods, all while working from a remote location. Professionals in this field study the genetic basis of complex traits in animals, plants, or humans, often using large datasets and computational tools. Their work helps improve breeding programs, understand heritable diseases, and advance genetic research. Remote roles typically require strong backgrounds in statistics, genetics, and bioinformatics, as well as proficiency with programming and data analysis software.

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

To thrive as a Remote Quantitative Geneticist, you need a solid background in genetics, statistics, and bioinformatics, usually supported by an advanced degree (MSc or PhD) in genetics or a related field. Expertise in statistical software (like R or SAS), programming languages (such as Python), and experience with genetic analysis tools are typically required. Strong analytical thinking, attention to detail, and effective remote communication skills set top performers apart. These competencies are vital for accurately analyzing genetic data, collaborating virtually, and making data-driven decisions that advance research or breeding programs.

What are some common challenges faced by professionals working remotely in quantitative genetics, and how can they be addressed?

One common challenge in remote quantitative genetics roles is maintaining effective collaboration with interdisciplinary teams, which may include geneticists, data scientists, and breeders across different time zones. Communication barriers can arise, especially when discussing complex genetic models or interpreting large datasets. To address this, leveraging collaborative tools, setting regular virtual meetings, and maintaining clear documentation are essential. Additionally, remote workers should proactively seek feedback and stay engaged with ongoing research to remain connected with the team and the latest scientific developments.
What are popular job titles related to Remote Quantitative Genetics jobs in Virginia? For Remote Quantitative Genetics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Quantitative Genetics jobs in Virginia look for? The top searched job categories for Remote Quantitative Genetics jobs in Virginia are:
What cities in Virginia are hiring for Remote Quantitative Genetics jobs? Cities in Virginia with the most Remote Quantitative Genetics job openings:

GEOINT Customer Success Manager

Fraym

Arlington, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

About Fraym
Fraym generates precise, localized data on demographics, attitudes, and behaviors, down to the town or village level. Organizations worldwide use our geospatial data to understand social and economic dynamics, design effective programs, and monitor investments across public health, economic development, climate resilience, security, and humanitarian response. Through survey research, geospatial analysis, and AI/ML, we are building scalable data infrastructure for mapping humanity.
The Role
As part of Fraym, you will support activities under the GEOINT Director. You will be responsible for building and expanding analytic support and mission success with key US government customers. You will be the subject matter expert for leveraging Fraym data to perform analysis and development of analytic products. In addition, you will support customer analytical missions, providing guidance and training, to ensure their mission success.
Location
St. Louis, MO area - Hybrid (On-site and Remote)
What You Will Do
Your responsibilities will include, but are not limited to the following:
  • Analysis & Training: You will generate analytic products and reports in support of customers' needs and requirements. This will include providing mentorship and guidance to customers via ad-hoc and structured training for working with and leveraging Fraym Data.
  • Translate Data Needs into Mission Success: You will work closely with customers, understanding their mission and workflows, to proactively provide support. This will include gathering specific technical and data requirements to translate customer needs to Fraym engineers and data scientists. To include recommending enhancements for data delivery formats, structure and processes.
  • Communication: You will generate use cases and data user stories, illustrating Fraym's value proposition. You work well across diverse teams and effectively communicate your vision to execute on your goals.

What You Bring
Required
  • U.S. Citizenship
  • Security Clearance
  • Travel to various customer sites expected approx. once every couple months
  • Bachelor's degree in Geospatial Information Systems (GIS), geography, statistics, political science, engineering, data science, or a related quantitative discipline.
  • Exposure to geospatial data and spatial statistics.
  • Experience with GIS software (Esri, Q-GIS, etc.)
  • Experience in or working with the federal government, specifically working in or with the GEOINT community and are familiar with data analysis, population surveys, and/or human geography
  • Clear, proactive communication.
  • Comfort learning and using technical tools, scripts, and AI-assisted workflows

Preferred
  • Office located in Arlington, VA - St. Louis, MO preferred
  • Experience with international household surveys, public opinion research, humanitarian data collection, or geospatial data programs.
  • Strong organizational and project management skills with sharp attention to detail.
  • Exposure and experience with Python/R
  • Experience in developing GEOINT products and reports

Compensation & Benefits
  • Competitive base compensation and annual performance bonus
  • Comprehensive medical, dental, and vision insurance
  • 401(k) program, flexible PTO, professional development opportunities

How to apply
  • Send a short note + resume. Tell us briefly about your experience in customer success, analysis, or working with government stakeholders
  • Expect an initial HR phone screen to determine eligibility
  • If eligible, you will have a conversation with Fraym's GEOINT Director
  • Final stages will include conversations with a leadership team member and our CEO

Not sure you tick all the boxes? We encourage you to apply. We have a learning culture, and if this job description sounds exciting, we'd love to hear from you.
Fraym recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, family status, veteran status, and other protected status as required by applicable law.