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Pharmacist Data Scientist Jobs (NOW HIRING)

Occasionally participate in network with external collaboration partners, e.g., academia, other Pharmaceutical and Non-pharmaceutical Data Science departments specializing in improving commercial ...

Occasionally participate in network with external collaboration partners, e.g., academia, other Pharmaceutical and Non-pharmaceutical Data Science departments specializing in improving commercial ...

Occasionally participate in network with external collaboration partners, e.g., academia, other Pharmaceutical and Non-pharmaceutical Data Science departments specializing in improving commercial ...

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 ...

Job Summary : Alpha Consulting Corp. is seeking a Software Engineer for their Data Science ... Alpha Consulting Corp. has been exceeding expectations in the IT, pharmaceutical, and clinical ...

Data Scientists on the team will drive data wrangling, statistics, Machine Learning, Artificial ... pharmaceutical, logistics, supply chain or CPG industry. * Demonstrated strength in using: Python ...

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 ...

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 ...

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 ...

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 ...

Design, develop, and maintain data products, AI-enabled applications, dashboards, and automation ... Experience in pharmaceutical, biotechnology, life sciences, manufacturing, supply chain, quality ...

Design, develop, and maintain data products, AI-enabled applications, dashboards, and automation ... Experience in pharmaceutical, biotechnology, life sciences, manufacturing, supply chain, quality ...

Our clients include insurance, investment banks, pharmaceutical, and oil and gas organizations. QxBranch is seeking a talented data scientist with a background in machine learning and taking data ...

Our clients include insurance, investment banks, pharmaceutical, and oil and gas organizations. QxBranch is seeking a talented data scientist with a background in machine learning and taking data ...

Latica is a community data network and clinical AI platform that enables to safely access de ... Experience in client-facing roles and working with pharmaceutical or life sciences companies ...

They are seeking a Sr. Data Scientist to leverage data-driven insights and advanced ML/AI solutions ... or pharmaceutical industry experience preferred Company : Align Technology, Inc. designs ...

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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 26, 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:
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, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Senior Data Scientist

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Novo Nordisk rating

8.4

Company rating: 8.4 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

19th of 86 rated pharmaceutical


Job description

About the Department 

The Finance & Operations department brings insights and intelligence to inform decision making & drives digitalization and business solutions to attain NNI goals. Finance & Operations works closely across the organization to guide enterprise-wide resource allocations, investment choices, drive core operations and develop insights to drive growth and operational excellence across the value chain while innovating for future capabilities. Our focus on innovation ensures we're constantly building future capabilities. We're responsible for regulating accounting, upholding workplace safety, managing our supply chain and sampling, supporting technological and data innovation, maintaining our facilities and assuring the integrity and completeness of all business transactions. At Novo Nordisk, you will have the opportunity to build a career in a global business environment. We encourage our employees to make the most of their talent, and we reward hard work and dedication with opportunities for continuous learning and personal development. Are you ready to maximize your potential with us?

The Position

The Senior Data Scientist will help drive the NNI Advanced Analytics vision to explore and develop new solutions that may hold the potential to add value to patients and Novo Nordisk in the future within therapeutic areas covered by Novo Nordisk corporate and commercial strategies. The Senior Data Scientist will build machine learning-based tools and processes within the company's current big data infrastructure such as recommendation engines, automated propensity scoring systems, and A/B testing procedures. The Senior Data Scientist will work with Novo Nordisks Big Data Analytics COE and other similar roles in Medical Information and Analytics, Medical Data Analytics, and HR People Research and Analytics to help foster and grow a community of predictive and prescriptive analytics.

Relationships

The Senior Data Scientist reports to the Director of Data Science. Internal relationships include other Commercial Effectiveness functions, especially Analytics and Data Governance; Big Data Analytics COE, Commercial Product and Portfolio personnel, and Area Commercial Leads. Extended internal relationships could include those in other Data Science/Data Science-like roles in Clinical, Medical, Regulatory, Human Resources, Global Development and Seattles Device Research center. External relationships include relationships with commercial collaboration partners as well as academia, where necessary.

Essential Functions

  • The Senior Data Scientist is expected to:
    • Develop Machine Learning-based solutions using available commercial data, including but not limited to, IQVIA (IMS) data, Real World Data (e.g., Truven), Financial Data, Sales Force Automation (e.g., Veeva) data, and integrated campaign management (e.g., Adobe) data
    • Build and maintain processes to acquire, process and curate necessary data for analysis and insights
    • Mine and analyze data to identify insights pertaining to dynamic and/or micro segmentation of patient, physician, and payer/delivery providers
    • Translate analytic insights into real world solutions
    • Design methods to generate real-time predictive and descriptive analytics from big datasets
    • Take responsibility in making new, relevant solutions to real Commercial problems and be able to show successful implementation
    • Occasionally participate in network with external collaboration partners, e.g., academia, other Pharmaceutical and Non-pharmaceutical Data Science departments specializing in improving commercial results through data science techniques

Physical Requirements

0-10% overnight travel required.

Qualifications

  • Education:  A minimum of a Bachelor's Degree within relevant field (e.g., Computer Science, Applied Mathematics, Physics, Engineering) 
    • Advanced degree may be substituted for experience as appropriate
  • 8 years of experience from relevant industry such as pharmaceutical, biotechnology, consumer product, or medical device industries. 
  • Required knowledge related to machine learning, including supervised, unsupervised, reinforced (deep) learning methods and ensemble learning methods. 
    • Specifically, algorithms such as k-NN, Linear and Generalized Linear Models, naml, Bayes, SVM, and Random Forest
  • Preferred knowledge related to how pharmaceutical companies market and sell products, market forces that impact decisions made to improve commercial outcomes, and how machine learning models can improve such outcomes
  • Excellent written and oral communication skills required
  • Proven ability to influence, communicate, and collaborate across the local organization
  • Broad, detailed understanding and mastery of technical area with a track record of analyzing critical data through the application and optimization of distinct analytical skills
  • Record of translating technical mastery to significant project impact
  • Ability to work independently as well as working in teams. Included in this is the ability to network with external parties
  • Demonstrated ability to generate valuable and relevant ideas, create concepts based on ideas, and develop new solutions based on concepts
  • Deep knowledge of at least one relevant technical area: computer science, computational statistics, including Bayesian inference, mathematics, or systems dynamics
  • Required experience within several of the following areas:
  • Experience with analytics tools such Python, R, or SAS and SQL, PowerPivot

The base compensation range for this position is $120,300 to $222,600. Base compensation is determined based on a number of factors. This position is also eligible for a company bonus based on individual and company performance. Novo Nordisk offers long-term incentive compensation and or company vehicles depending on the position's level or other company factors.

Employees are also eligible to participate in Company employee benefit programs including medical, dental and vision coverage; life insurance; disability insurance; 401(k) savings plan; flexible spending accounts; employee assistance program; tuition reimbursement program; and voluntary benefits such as group legal, critical illness, identity theft protection, pet insurance and auto/home insurance. The Company also offers time off pursuant to its sick time policy, flex-able vacation policy, and parental leave policy.

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.

At Novo Nordisk, we're not chasing quick fixes - we're creating lasting change for long-term health. For over 100 years, we've been driven by a single purpose: to defeat serious chronic diseases and help millions of people live healthier lives. This dedication fuels our constant curiosity and inspires us to push the boundaries of what's possible in healthcare. We embrace diverse perspectives, seek out bold ideas, and build partnerships rooted in shared purpose. Together, we're making healthcare more accessible, treating and defeating diseases, and pioneering solutions that create change spanning generations. When you join us, you become part of something bigger - a legacy of impact that reaches far beyond today.

Novo Nordisk is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, protected veteran status or any other characteristic protected by local, state or federal laws, rules or regulations.

If you are interested in applying to Novo Nordisk and need special assistance or an accommodation to apply, please call us at 1-855-411-5290. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.


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