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Quant Developer Virtual Jobs in Reston, VA (NOW HIRING)

Director of Biostatistics

Washington, DC ยท On-site

$186K - $205K/yr

Oversee SAS programming and statistical analyses conducted on clean, locked datasets. * Prepare and ... PhD preferred in Statistics, Biostatistics, Bioinformatics, or a related quantitative discipline.

New

The volume and complexity of both physical and virtual border crossings require the application of ... quantitative methods, machine learning algorithms, and predictive models to address complex ...

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and ... Drive decision-making through user insights, quantitative analysis and AB testing * Maximize ...

... graduate engineering program * 5+ years of experience performing quantitative or analytical work ... person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and ...

Structured Finance Senior Analyst

Rockville, MD ยท On-site +1

$87.10K - $108.60K/yr

Independent engineer and technical diligence reports * Legal/organizational documents * Diligently ... Create and maintain virtual data rooms * Facilitate smooth and efficient handoff of projects to SSI ...

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Quant Developer Virtual information

See Reston, VA salary details

$102K

$176.6K

$270K

How much do quant developer virtual jobs pay per year?

As of Jun 3, 2026, the average yearly pay for quant developer virtual in Reston, VA is $176,578.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,900.00 and $207,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Quant Developer Virtual, and why are they important?

To thrive as a Quant Developer Virtual, you need a strong background in mathematics, statistics, programming (especially Python, C++, or Java), and a relevant degree such as computer science, engineering, or quantitative finance. Familiarity with financial modeling tools, statistical analysis software, and version control systems like Git is typically expected. Exceptional problem-solving, analytical thinking, and effective remote communication skills set top candidates apart. These skills are crucial for developing robust quantitative models and collaborating effectively in distributed financial teams.

What are some common challenges faced by Quant Developers working in a virtual or remote environment?

Quant Developers working virtually often face challenges in seamless collaboration, especially when discussing complex mathematical models or code structures. Effective communication is crucial, as much of the work involves frequent coordination with traders, data scientists, and other developers. To overcome these hurdles, many teams use collaborative tools, version control systems, and regular video meetings. It's also important for remote Quant Developers to proactively stay updated on project requirements and maintain clear documentation to ensure team alignment.

What are Quant Developer Virtual roles?

Quant Developer Virtual roles refer to remote or online positions where professionals design, develop, and maintain quantitative models and algorithms, typically for financial institutions or trading firms. These developers use programming languages like Python, C++, or Java to implement mathematical models for pricing, risk management, and trading strategies. Working virtually, they collaborate with teams through digital platforms and are often responsible for analyzing large datasets and optimizing code performance. This role requires both strong programming skills and a solid foundation in quantitative finance or mathematics.

What is the difference between Quant Developer Virtual vs Quant Analyst?

AspectQuant Developer VirtualQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; programming skillsDegree in Finance, Economics, or Math; strong analytical skills
Work EnvironmentRemote, collaborative with developers and tradersOffice or remote, focused on data analysis and modeling
Industry UsageFinancial firms, hedge funds, banksAsset management, hedge funds, investment banks
Common Search/ComparisonYesYes

The main difference between a Quant Developer Virtual and a Quant Analyst lies in their focus and responsibilities. Quant Developers Virtual primarily build and implement trading algorithms and software, requiring strong programming skills. Quant Analysts focus on analyzing data, developing models, and providing insights for investment decisions. Both roles are essential in finance but differ in technical depth and daily tasks.

What are popular job titles related to Quant Developer Virtual jobs in Reston, VA? For Quant Developer Virtual jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Quant Developer Virtual jobs in Reston, VA look for? The top searched job categories for Quant Developer Virtual jobs in Reston, VA are:

Director of Biostatistics

Phronetik Talent Team

Washington, DC โ€ข Remote

$186K - $205K/yr

Other

Posted 3 days ago


Job description

Description

The Director of Biostatistics will provide leadership and oversight for biostatistical activities supporting National Institutes of Health (NIH)-funded clinical research programs. Reporting to the Chief Science Officer, this position is responsible for the design, analysis, interpretation, and reporting of clinical research data across multiple studies. The Director of Biostatistics will lead statistical strategy, supervise statistical personnel, and collaborate with investigators, sponsors, Data and Safety Monitoring Boards (DSMBs), and federal stakeholders to ensure scientifically rigorous and regulatory-compliant research outcomes.


Essential Duties and Responsibilities

  • Lead and oversee biostatistical activities across the lifecycle of clinical research studies.
  • Supervise and mentor statisticians and statistical programmers.
  • Develop and review Statistical Analysis Plans (SAPs), power analyses, sample size determinations, and adaptive randomization strategies.
  • Provide statistical leadership for study design, protocol development, and endpoint evaluation.
  • Oversee SAS programming and statistical analyses conducted on clean, locked datasets.
  • Prepare and review statistical reports, tables, listings, figures, and other study deliverables.
  • Support DSMB activities through preparation of interim analyses evaluating treatment effectiveness, safety, and study outcomes.
  • Conduct and oversee additional analyses requested by DSMBs, study investigators, sponsors, or Contracting Officer Representatives (CORs).
  • Develop study-specific statistical methodologies when standard approaches do not adequately address research objectives.
  • Support preparation of Final Clinical Study Reports in accordance with ICH E3 guidance and approved Statistical Analysis Plans.
  • Collaborate with investigators and research teams to prepare analyses, publications, presentations, and scientific manuscripts.
  • Create publication-ready tables, figures, datasets, and supporting statistical documentation.
  • Ensure compliance with applicable regulatory requirements, Good Clinical Practice (GCP), sponsor expectations, and organizational quality standards.
  • Manage project timelines, priorities, and statistical deliverables across multiple studies.


Required Qualifications

  • PhD preferred in Statistics, Biostatistics, Bioinformatics, or a related quantitative discipline.
  • Minimum of 10 years of experience in the pharmaceutical, biotechnology, clinical research, or contract research organization (CRO) industry.
  • Demonstrated experience leading biostatistical activities for clinical trials and complex research studies.
  • Extensive experience with:
  1. Statistical Analysis Plan development
  2. Power analysis and sample size determination
  3. Adaptive trial designs and randomization methodologies
  4. SAS programming
  5. Clinical trial data analysis
  6. Statistical reporting and regulatory submissions
  • Strong understanding of advanced statistical methods and clinical research methodology.
  • Experience supporting DSMBs and preparing statistical analyses for regulatory review.
  • Proven ability to lead and mentor statistical teams.


Requirements

Preferred Qualifications

  • Experience supporting National Institutes of Health (NIH)-funded research.
  • Experience working within federal contracting environments.
  • Familiarity with federal acquisition processes and government-funded research programs.
  • Experience supporting submissions to regulatory agencies, including the U.S. Food and Drug Administration (FDA).

Knowledge, Skills, and Abilities

  • Advanced expertise in biostatistics and clinical trial methodology.
  • Strong project management and organizational skills.
  • Excellent analytical, problem-solving, and decision-making abilities.
  • Exceptional written and verbal communication skills.
  • Ability to collaborate effectively with multidisciplinary teams and federal stakeholders.
  • Demonstrated commitment to scientific integrity, quality, and regulatory compliance.

Travel Requirements:

  • Occasional travel to client sites, research facilities, or industry events may be required.

Work Environment:

  • Remote-first, with flexibility to adapt to evolving program needs and organizational priorities.

Physical Demands:

  • Ability to participate in virtual meetings, presentations, and program activities for extended periods.

Equal Employment Opportunity

Phronetik is an equal opportunity employer and is committed to creating a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to any protected status under applicable law.


Contingency Statement

This position is contingent upon contract award, funding availability, and satisfaction of all applicable employment requirements.