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Part Time Pharmaceutical Data Scientist Jobs (NOW HIRING)

Data Scientist

Doral, FL · On-site +1

$112K - $257K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Boise, Idaho Duration: 3 years on a part time basis (25% utilization) Required Skil ls * Should have worked in healthcare industry either at a provider, payer or HIE * Expert in statistical ...

Data Scientist

Fayetteville, NC · On-site +1

$99K - $225K/yr

Share Data Scientist The Opportunity: Ever-expanding technologies like IoT, machine learning, and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Fayetteville, NC · On-site

$99K - $225K/yr

Data Scientist The Opportunity: Ever-expanding technologies like IoT, machine learning, and artifi ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Atlanta, GA · On-site +1

$99K - $225K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Washington, DC · On-site +1

$77K - $176K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Washington, DC · On-site +1

$62K - $141K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Washington, DC · On-site +1

$62K - $141K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Arlington, VA · On-site +1

$69K - $158K/yr

Share Data Scientist The Opportunity: As an analytics professional, you're excited at the prospect ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Albuquerque, NM · On-site +1

$99K - $225K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Arlington, VA · On-site +1

$77K - $176K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Arlington, VA · On-site

$99K - $225K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Reston, VA · On-site

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Huntsville, AL · On-site +1

$112K - $257K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Showing results 1-20

Part Time Pharmaceutical Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do part time pharmaceutical data scientist jobs pay per year?

As of Sep 2, 2026, the average yearly pay for part time pharmaceutical data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Pharmaceutical Data Scientist vs Part Time Pharmaceutical Data Analyst?

AspectPart Time Pharmaceutical Data ScientistPart Time Pharmaceutical Data Analyst
Required CredentialsTypically requires a degree in data science, statistics, or related field; often prefers experience with machine learningUsually requires a degree in statistics, mathematics, or related field; focuses on data interpretation skills
Work EnvironmentResearch labs, pharmaceutical companies, or biotech firms; involves complex data modelingClinical settings, research organizations, or pharmaceutical companies; emphasizes data reporting and visualization
Employer & Industry UsageUsed in R&D, drug development, and clinical trials within pharma industryApplied in clinical data analysis, regulatory submissions, and market research in pharma

While both roles involve working with pharmaceutical data, the Part Time Pharmaceutical Data Scientist focuses on advanced data modeling and machine learning techniques, whereas the Part Time Pharmaceutical Data Analyst emphasizes data interpretation, reporting, and visualization. The roles often overlap but differ in technical complexity and focus areas.

More about Part Time Pharmaceutical Data Scientist jobs

What cities are hiring for Part Time Pharmaceutical Data Scientist jobs?

Cities with the most Part Time Pharmaceutical Data Scientist job openings:

What are the most commonly searched types of Pharmaceutical Data Scientist jobs?

The most popular types of Pharmaceutical Data Scientist jobs are:

Infographic showing various Part Time Pharmaceutical Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Full-time, Part-time

Retirement, PTO

Posted 15 days ago


Job description

Data Scientist
Remote | U.S. Citizenship Required | Security Clearance Eligibility Required | Part Time

Why This Role Exists
The work we do has real impact, and the people behind it matter just as much.

D amp;G is seeking Data Scientist to develop statistically defensible representations of logistics-network behavior for modeling, simulation, and decision support. This role characterizes variability and uncertainty, fits probability distributions for key network variables, develops statistical or predictive models where they add value, and evaluates simulation outputs. Working with Operations Research Analysts and technical SMEs, the Data Scientist converts observed data into defensible assumptions and clearly communicates confidence, uncertainty, and limitations. The role focuses on statistical analysis rather than data pipelines, database architecture, or simulation software infrastructure.

What You Will Do

  • Perform exploratory data analysis to characterize distributions, variability, correlations, outliers, missingness, seasonality, and other patterns in logistics and operational data.
  • Fit and validate probability distributions for key network variables and quantify uncertainty using statistical methods, sensitivity analysis, resampling, and Monte Carlo techniques.
  • Develop and evaluate statistical and predictive models, including classification, clustering, and anomaly detection, to improve understanding of logistics-system behavior and support mission decisions.
  • Assess data sufficiency, model assumptions, performance, and uncertainty to distinguish meaningful signals from noise and identify additional data needs.
  • Partner with Operations Research Analysts to translate empirical findings and probability distributions into defensible stochastic inputs, parameters, and assumptions for modeling and simulation.
  • Analyze simulation outputs for variability, confidence, convergence, sensitivity, and statistical significance, collaborating with Data Engineers, Database Architects, and Logistics SMEs to validate analytical fitness.
  • Translate results into decision-ready visualizations and findings, and document methods, assumptions, code, diagnostics, limitations, and data provenance to support reproducibility and government delivery.

What We Are Looking For

Required

  • Bachelor's degree from an accredited university in Data Science, Statistics, Mathematics, Operations Research, Computer Science, Engineering, Economics, or a related quantitative field.
  • 8+ years of experience applying statistics, probability, data science, or predictive analytics to complex operational or mission problems.
  • Strong foundation in probability distributions, statistical inference, hypothesis testing, regression, uncertainty quantification, and model validation.
  • Proficiency in Python and SQL, including practical use of common scientific and statistical analysis libraries.
  • Demonstrated experience performing exploratory analysis, fitting distributions, evaluating statistical models, Monte Carlo techniques, and communicating analytical findings to technical and non-technical audiences.
  • Experience working with modeling and simulation, operations research, logistics analytics, or other stochastic analytical environments.

Preferred

  • Master's degree or Ph.D. in Statistics, Data Science, Operations Research, Applied Mathematics, Engineering, or a related quantitative field.
  • Experience with Bayesian analysis, survival/reliability analysis, time-series analysis, or other techniques relevant to logistics-network uncertainty.
  • Experience supporting Federal Government or Department of War modeling, simulation, analytics, or decision-support programs using logistics, transportation, aviation, cargo, UAS, operational-energy, or other mission-performance data.

Location

  • Remote
  • 10% Travel to client site in Washington, D.C. as needed.

Clearance and Eligibility

  • Must be a U.S. citizen and able to attain a security clearance.

  • This role is restricted to U.S. person(s) (U.S. citizens, permanent residents, and other protected individuals under 8 U.S.C. 1324b(a)(3)).

Who We Are
At D amp;G Solutions, people come first; our teammates, customers, and the communities we serve.
We are one of the fastest growing companies in the Washington, DC area and proud to be recognized nationally as a Best Place to Work. As an 8(a), Service-Disabled Veteran Owned, and Women Owned Small Business, we bring ownership, accountability, and care to everything we do. We also deeply believe in giving back and proudly support organizations such as Homes for Our Troops, SemperK9, and Wreaths Across America.
Our teams are welcoming, collaborative, and deeply committed to mission success. We believe great work happens when people feel supported, respected, and trusted, and we work hard to create that environment every day.

What We Offer
Competitive salary | Benefits | 401(k) | Bonus and profit sharing | Flexible hours | Education reimbursement | PTO

Final Note
If you want to work for a company that cares about its people, contribute to a mission that truly matters, and be part of a team where you are valued for who you are as well as what you do, we would love to hear from you.