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Pharmacist Data Scientist Jobs (NOW HIRING)

Brillient

Data Scientist

Silver Spring, MD

During these evaluations, the incumbent provides advice to pharmaceutical sponsors and investigators on the design of clinical studies. * * For NDAs, the Data Scientist reviews and evaluates reports ...

TraceLink, Inc

Senior Data Scientist

Wilmington, MA · On-site

$178K/yr

Senior Data Scientist (TraceLink, Inc. - Wilmington, MA): Lead the design and development of ... pharmaceutical supply chain serialization, track-and-trace, compliance analytics, and shortage ...

Amgen

Data Scientist

Thousand Oaks, CA · On-site

Data Scientist What you will do Let's do this! Let's change the world! In this vital role, you will ... Experience in biotechnology, pharmaceuticals, manufacturing, or other regulated industries is ...

Amgen

Data Scientist

Cambridge, MA · On-site

Data Scientist What you will do Let's do this! Let's change the world! In this vital role, you will ... Experience in biotechnology, pharmaceuticals, manufacturing, or other regulated industries is ...

Amgen, Inc.

Sr. Data Scientist

Thousand Oaks, CA · On-site +1

Experience in pharmaceutical, biotechnology, life sciences, or regulated manufacturing environments. * Strong proficiency in Python for data processing, automation, analytics, and model development.

Amgen

Sr. Data Scientist

Thousand Oaks, CA · On-site

Experience in pharmaceutical, biotechnology, life sciences, or regulated manufacturing environments. * Strong proficiency in Python for data processing, automation, analytics, and model development.

Bluesight

Data Scientist

$130K - $150K/yr

Bluesight is looking for a Data Scientist to join our central data team and help us drive the ... ADM, EHR) and pharmaceutical supply chain logistics (e.g. invoicing, cost optimization)

Bluesight

Data Scientist

OR · Remote

$130K - $150K/yr

Bluesight is looking for a Data Scientist to join our central data team and help us drive the ... ADM, EHR) and pharmaceutical supply chain logistics (e.g. invoicing, cost optimization)

Resolution Technologies

Sr. Data Scientist

Atlanta, GA · On-site

Senior Data Scientist About the Role Our client is looking for a Senior Data Scientist for a long-term engagement with a pharmaceutical client. This is a hands-on, end-to-end role embedded directly ...

Latica

Senior Data Scientist

Palo Alto, CA · On-site

$160K - $190K/yr

... therapeutics, pharmaceutical studies, and medical devices. Latica was founded by repeat ... Lead end-to-end medical research projects with top-tier life science companies. * Conduct EMR data ...

Latica

Senior Data Scientist

Palo Alto, CA

$160K - $190K/yr

... therapeutics, pharmaceutical studies, and medical devices. Latica was founded by repeat ... Lead end-to-end medical research projects with top-tier life science companies. * Conduct EMR data ...

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Pharmacist Data Scientist information

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$46K

$165K

$243.5K

How much do pharmacist data scientist jobs pay per year?

As of Jul 18, 2026, the average yearly pay for pharmacist data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does a pharmaceutical data scientist do?

A pharmaceutical data scientist analyzes healthcare and drug data to identify trends, improve drug development, and optimize patient outcomes. They use statistical tools, machine learning, and programming languages like Python or R to interpret complex datasets in a regulated environment.

What is a Pharmacist Data Scientist?

A Pharmacist Data Scientist is a professional who combines expertise in pharmacy with skills in data science to analyze and interpret complex healthcare data. They use their knowledge of medications, patient outcomes, and clinical processes to develop data-driven solutions that improve healthcare delivery, patient safety, and operational efficiency. These professionals may work with large datasets from electronic health records, pharmacy claims, or clinical trials to inform decision-making, optimize medication use, and support research initiatives. By leveraging statistical analysis, machine learning, and data visualization, Pharmacist Data Scientists help bridge the gap between pharmacy practice and data-driven healthcare innovation.

What are the key skills and qualifications needed to thrive as a Pharmacist Data Scientist, and why are they important?

To thrive as a Pharmacist Data Scientist, you need a strong background in pharmacy, clinical knowledge, data analysis, and typically a degree in pharmacy along with training or experience in data science. Familiarity with programming languages (such as Python or R), data visualization tools, and healthcare data systems is essential, and certifications like Certified Analytics Professional (CAP) can be beneficial. Analytical thinking, effective communication, and attention to detail are crucial soft skills for interpreting complex data and translating findings for healthcare teams. These skills are vital for leveraging data to improve medication safety, optimize patient outcomes, and drive evidence-based decisions in healthcare settings.

What is the difference between Pharmacist Data Scientist vs Pharmacist?

AspectPharmacist Data ScientistPharmacist
CredentialsPharmacy degree, data analysis skills, possibly data science certificationsPharmacy degree, state licensure
Work EnvironmentHealthcare settings, data analysis teams, research institutionsCommunity pharmacies, hospitals, clinics
Industry UsageHealthcare, pharmaceutical companies, health techHealthcare, retail pharmacy

Pharmacist Data Scientists combine pharmacy expertise with data analysis skills to interpret health data, often working in research or tech environments. Pharmacists focus on patient care, medication management, and dispensing in healthcare settings. While both roles require a pharmacy degree, Pharmacist Data Scientists also need data science skills, making their work more analytical and tech-oriented compared to traditional pharmacists.

How do Pharmacist Data Scientists typically collaborate with clinical and IT teams to improve healthcare outcomes?

Pharmacist Data Scientists work closely with both clinical and IT teams to bridge the gap between patient care and data-driven decision-making. They often translate clinical needs into data queries, develop analytics models, and ensure that data insights are actionable and relevant for healthcare providers. Regular collaboration involves multidisciplinary meetings, sharing findings, and integrating feedback from pharmacists, physicians, and IT professionals to optimize medication management, safety protocols, and patient outcomes. This collaborative environment fosters continuous learning and innovation, making communication and teamwork essential skills for success in the role.

Is pharmacy oversaturated in 2026?

Pharmacist data scientists are a niche combining pharmacy knowledge with data analysis skills, and the overall pharmacy field is expected to face slow growth due to automation and changing healthcare models. While traditional pharmacist roles may experience saturation, specialized roles like pharmacist data scientists are less common and may have better job prospects if they possess strong analytical and technical skills. Job availability will depend on industry demand for data-driven healthcare solutions and advanced qualifications.

Can a pharmacist make $200,000 a year?

Pharmacists can potentially earn $200,000 or more annually, especially with advanced roles, additional certifications, or in high-demand settings such as specialty pharmacies or management positions. However, typical salaries vary by location, experience, and employer, with many earning between $120,000 and $160,000 per year. Data scientists with pharmacy backgrounds may also reach high salaries if they develop expertise in data analysis, machine learning, and healthcare analytics.

Is 40 too late for data science?

A career as a data scientist, including roles like pharmacist data scientist, can be pursued at age 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and domain knowledge, which can be developed through online courses or certifications regardless of age.
More about Pharmacist Data Scientist jobs
What cities are hiring for Pharmacist Data Scientist jobs? Cities with the most Pharmacist Data Scientist job openings:
What states have the most Pharmacist Data Scientist jobs? States with the most job openings for Pharmacist Data Scientist jobs include:
What job categories do people searching Pharmacist Data Scientist jobs look for? The top searched job categories for Pharmacist Data Scientist jobs are:
Pharmacist Data Scientist jobs near you
Infographic showing various Pharmacist Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Clinical Data Scientist

Clinical Data Scientist

RedSail Technologies LLC

Spartanburg, SC • On-site

$130K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

Job description

Clinical Data Scientist
Job Summary
The RedSail Technologies Network Services Business Unit has the primary mission to create incremental value streams for RedSail through the development and activation of Clinical, Financial, & Operational Programs that leverage our uniquely integrated technology platforms as well as our associated reach within the targeted market segments. The Clinical Data Scientist, will participate in the making use of RedSail's data to evaluate and establish various impactful programs to accomplish and assist with the measurement of program effectiveness against the department objectives.
Key Duties
  • Data Collection: Gathering data from various sources, such as databases, APIs, web scraping, and more. This can involve collecting structured and unstructured data.
  • Data Cleaning: Preprocessing the collected data to handle missing values, remove duplicates, correct inconsistencies, and address outliers. This step ensures data quality and reliability.
  • Data Exploration (Exploratory Data Analysis, EDA): Analyzing the main characteristics of the data often through visualization and summary statistics. This helps in understanding data distributions, relationships between variables, and identifying patterns or anomalies.
  • Data Transformation: Modifying data into a suitable format for analysis, such as normalization, standardization, or creating new features (feature engineering).
  • Data Visualization: Creating visual representations of data, such as graphs, charts, and dashboards, to communicate findings effectively. Tools like Matplotlib, Seaborn, and Tableau are commonly used.
  • Statistical Analysis: Applying statistical methods to understand data distributions, test hypotheses, and infer relationships. This can include t-tests, chi-square tests, ANOVA, and regression analysis.
  • Data Communication: Presenting findings, insights, and recommendations to stakeholders through reports, presentations, and storytelling. Effective communication is crucial for decision-making.
  • Collaboration with Domain Experts: Working with professionals from various fields to ensure that the data science approach aligns with business goals and that the results are meaningful and actionable.
  • Keeping Up with Industry Trends: Continuously learning and adapting to new tools, technologies, and methodologies in data science to stay current and effective in the field.
  • Ethical Considerations and Compliance: Ensuring that data usage complies with ethical standards and legal regulations, such as data privacy laws (e.g., HIPAA)

Education/Training
  • Bachelor's degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree. Doctor of Pharmacy with data credentials or extensive data experience may substitute for formal education in Data Science.

Required Work Skills/Experience
  • Pharma/Pharmacy/Healthcare experience.
  • Experience programming with SQL scripting.
  • Experience with data analytics visualization tools such as PowerBI and Tableau.
  • Ability to transform complex data across multiple platforms into concise datasets.
  • Ability to visualize data in the most effective way possible for a given project or study.
  • Strong analytical and problem-solving skills; inquisitive.
  • Ability to work independently and with team members from different backgrounds and collaborative styles.
  • Excellent attention to detail with critical thinking skills.

Preferred Work Skills/Experience
  • A combination of both Doctor of Pharmacy and degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree (i.e. Pharmacist Data Scientist) strongly preferred.
  • 2 years of experience as a Data Analyst, Data Scientist or Data Engineer.
  • Experience with Pharma/Pharmacy transactions.
  • Experience programming with Python or Go Lang.

Discretionary Judgement
  • Uses independent judgment and discretion based upon the employee's experience in the position and knowledge of the products, equipment, and services.
  • Uses good judgment and possesses ethical work values.

Physical Demands/Working Conditions/General Employment
  • Moderate or high stress levels may be experienced in the job performance.
  • Position is performed in a general office environment, home office, or approved remote workspace where physical work includes, but is not limited to, sitting, standing, reaching, kneeling, bending, and lifting to 25 lbs.

Equipment
  • Daily use of Microsoft Teams (phone), computer, printer, and other routine office equipment.
  • Must have reliable and consistent internet access.

Safety to Self and Others
  • Little responsibility for the safety of others. Job is performed in an office setting where there are no hazardous materials or equipment.

Working Conditions/Hazards
  • Position is performed in an open office environment or approved remote work location.

Salary Range
  • $130,000-$160,000

Work Location
  • RedSail Office Hybrid

Benefits Include: PTO, 401k (5%) Match, Bonus Opportunities, Medical/Dental/Vision Insurance, Work-life balance, Health Clinic, Fitness Bonus and Professional Development.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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