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Remote Sas R Python Jobs in Washington, DC (NOW HIRING)

Remote arrangements can also be considered. Otsuka maintains a hybrid work policy and travel is ... In-depth knowledge of statistical principles, applications, and SAS/R programming software.

Experience with data modeling, cleansing, and transformation utilizing a tool set including Power BI, SQL, or Power Query, R, Python, etc. * Technical certifications related to Microsoft Power BI ...

Required Skills * Python * R * SQL * Clinical Data Analysis * Biomedical Datasets * HL7/FHIR ... SAS Certifications Work Environment * Experience working in healthcare, biomedical, or regulated ...

Sr. Developer (USCB)

Greenbelt, MD ยท Remote

$55.75 - $73.75/hr

This position is primarily remote but is based in the DMV area and is a full-time W2 employment ... R, SAS, STATA familiarity Soft Skills: Organizational Skills: Can plan and prioritize work. Follows ...

Sr. Developer (US Census Bureau)

Greenbelt, MD ยท Remote

$55.75 - $73.75/hr

This position is primarily remote but is based in the DMV area and is a full-time W2 employment ... R, SAS, STATA familiarity Soft Skills: Organizational Skills: Can plan and prioritize work. Follows ...

Sr. Developer

Greenbelt, MD ยท Remote

$55.75 - $73.75/hr

This position is primarily remote but is based in the DMV area and is a full-time W2 employment ... R, SAS, STATA familiarity Soft Skills: Organizational Skills: Can plan and prioritize work. Follows ...

Remote Sensing Requirements Analyst BELONG. CONNECT. GROW. with KBR. Around here, we define the ... Exposure to data visualization or analytics tools (e.g., PowerBI, Tableau, Python, R). * Experience ...

Learn and apply additional analytical tools as needed (e.g., SQL, Python, R, Tableau or comparable tools, as well as artificial intelligence) to improve efficiency and analytical quality. Required ...

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Remote Sas R Python information

See Washington, DC salary details

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How much do remote sas r python jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for remote sas r python in Washington, DC is $61.30, according to ZipRecruiter salary data. Most workers in this role earn between $57.16 and $67.79 per hour, depending on experience, location, and employer.

What is the difference between Remote Sas R Python vs Remote Data Analyst?

AspectRemote Sas R PythonRemote Data Analyst
Required SkillsSAS, R, Python, data manipulationExcel, SQL, data visualization, basic statistical analysis
CertificationsSAS certifications, R/Python proficiencyNone mandatory, often preferred certifications in Excel or SQL
Work EnvironmentData analysis, statistical modeling, programmingData interpretation, reporting, visualization
Industry UsageHealthcare, finance, pharmaceuticalsBusiness, marketing, finance

Remote Sas R Python roles focus on advanced statistical programming and data modeling using SAS, R, and Python, often in specialized industries. Remote Data Analysts handle data interpretation, reporting, and visualization, typically requiring skills in Excel and SQL. While both roles involve data work, Sas R Python positions demand programming expertise, whereas Data Analysts focus more on data presentation and insights.

What are popular job titles related to Remote Sas R Python jobs in Washington, DC? For Remote Sas R Python jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Sas R Python jobs in Washington, DC look for? The top searched job categories for Remote Sas R Python jobs in Washington, DC are:

Emergency Preparedness Lead

Hirekeyz Inc

Washington, DC โ€ข Remote

Contractor

Posted 10 days ago


Job description

Role: Emergency Preparedness Lead

POP: 12+ months Contract

Location: Remote

SCOPE:ย 

The Emergency Preparedness Lead drives analytic operations supporting disaster response, ย healthcare resilience, and national health security initiatives. This role owns the full lifecycle of emergency preparedness analytics โ€” from data collection and provider-level dataset production to beneficiary access assessments during active emergencies. The Lead serves as the primary analytic partner to CMS, translating complex data into actionable intelligence that informs policy and operational decision-making at the federal level.

REQUIRED SKILLS:

  • Bachelor's degree in analytics, public health, data science, or a related field (equivalent experience accepted).
  • 7โ€“10 years of research or analytics experience in emergency preparedness, disaster response, or public health resilience.
  • Strong proficiency in quantitative and qualitative research methodologies.
  • Experience producing and managing large-scale provider or beneficiary datasets.
  • Demonstrated ability to assess healthcare access gaps during emergency or disaster scenarios.
  • Familiarity with federal health programs, CMS data systems, or related government health infrastructure.
  • Strong written and verbal communication skills โ€” ability to present findings to both technical and non-technical stakeholders

PREFERRED SKILLS:

  • Direct experience working with or supporting CMS, FEMA, HHS, or similar federal agencies.
  • Knowledge of national health security frameworks (e.g., National Health Security Strategy, PAHPA).
  • Proficiency in data tools such as SQL, Python, R, Tableau, or SAS.
  • Experience with geospatial analysis related to disaster impact or provider access mapping.
  • Master's degree in public health, analytics, or emergency management

TASKS:

  • Lead and manage analytic workstreams tied to disaster response and healthcare resilience programs.
  • Produce and maintain provider-level datasets used for emergency planning, response, and after-action analysis.
  • Assess beneficiary access to healthcare services during declared emergencies and identify coverage gaps.
  • Support CMS in developing data-driven strategies that advance national health security objectives.
  • Collaborate with federal, state, and local partners to align analytic outputs with operational response needs.
  • Design and execute research studies evaluating the effectiveness of emergency preparedness policies and interventions.
  • Develop reports, briefs, and dashboards that communicate findings clearly to program leadership and federal clients.
  • Monitor evolving emergency scenarios and adjust analytic priorities in real time as needed