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Pharmacist Data Scientist Jobs in Puerto Rico (NOW HIRING)

... Pharmaceutical, Biotechnology, Chemical, Food, and Medical Devices industries in the following ... Data Scientist Description: SUMMARY The Data Scientist will lead projects and collaborate with ...

... Pharmaceutical, Biotechnology, Chemical, Food, and Medical Devices industries in the following ... Data Scientist Description: SUMMARY The Data Scientist will lead projects and collaborate with ...

Data Scientist

Juncos, PR ยท On-site

$90 - $120/hr

... Pharmaceutical, Biotechnology, Chemical, Food, and Medical Devices industries in the following ... Data Scientist Description: SUMMARY The Data Scientist will lead projects and collaborate with ...

ECHO Consulting Group is a leader in providing solutions for the pharmaceutical, biotechnology ... The Data Scientist will lead projects and collaborate with business partners including commercial ...

New

Process Development Scientist-03

Juncos, PR ยท On-site

$80 - $110/hr

Process monitoring, data trending, and statistical analysis tools. * Deviations, investigations ... providing our Pharmaceutical, Medical Device and Manufacturing industryclients with top-notch ...

ZL01-072126 Process Development Sr Scientist

Juncos, PR ยท On-site

$89K - $121K/yr

Experience supporting sterile drug product manufacturing within the pharmaceutical or biotechnology ... Ability to analyze manufacturing data, identify process trends, and recommend scientifically sound ...

PR

$89K - $122K/yr

Experience supporting sterile drug product manufacturing within the pharmaceutical or biotechnology ... Ability to analyze manufacturing data, identify process trends, and recommend scientifically sound ...

Process monitoring, data trending, and statistical analysis tools. * Deviations, investigations ... providing our Pharmaceutical, Medical Device and Manufacturing industry clients with top-notch ...

Sr Scientist

Caguas, PR ยท On-site

$89K - $121K/yr

... of pharmaceutical, biotechnology, medical devices, and logistics markets. Description The ... Create characterization protocols, data spreadsheets and reports for the Debagger, E-beam, Sara-P ...

Process Development Sr Scientist ID 35535

Juncos, PR ยท On-site

$89K - $121K/yr

Provides data analysis and interpretation and assesses the impact of the data on the project. Keeps ... Experience supporting sterile drug product manufacturing within the pharmaceutical or biotechnology ...

Process Development Scientist

Juncos, PR ยท On-site

$110 - $150/hr

... bio pharmaceutical manufacturing operations, with a primary focus on formulation and aseptic ... Experience with process monitoring, data analysis, trending, and statistical software (e.g., JMP ...

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Pharmacist Data Scientist information

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.

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.

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.

Do pharmacy companies hire pharmacist data scientists?

Pharmacy companies are increasingly hiring pharmacist data scientists to analyze healthcare data, improve drug development, and optimize patient outcomes. These roles often require expertise in data analysis, machine learning, and familiarity with healthcare regulations. Opportunities can be found in pharmaceutical firms, healthcare organizations, and biotech companies seeking to leverage data-driven insights.

What are popular job titles related to Pharmacist Data Scientist jobs in Puerto Rico?

For Pharmacist Data Scientist jobs in Puerto Rico, the most frequently searched job titles are:

What job categories do people searching Pharmacist Data Scientist jobs in Puerto Rico look for?

The top searched job categories for Pharmacist Data Scientist jobs in Puerto Rico are:

What cities in Puerto Rico are hiring for Pharmacist Data Scientist jobs?

Cities in Puerto Rico with the most Pharmacist Data Scientist job openings:

Full-time

Posted 6 days ago


Job description

Validation & Engineering Group, Inc. (V&EG) a Pinnaql company is a leading services supplier who provides solutions for the Pharmaceutical, Biotechnology, Chemical, Food, and Medical Devices industries in the following areas: Laboratory, Compliance, Computer, Engineering, Project Management, Validation, and other services.
We are seeking a talented, dedicated individual committed to work under the highest ethics standards for the following position:
  • Data Scientist

Description:
SUMMARY
The Data Scientist will lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor partners, service owners and IS partners to develop analytical models and insights across the PR Operations Organization to answer/solve specific business problems. This role will lead advanced analytics projects from the front and will be responsible for end to end execution. This role will innovate and create significant business impact through the strategic use of advanced analytics techniques.
FUNCTIONS
1. Leading, using and developing data science, machine learning, and artificial intelligence capabilities across the commercial organization.
2. Leading the projects and be part of cross functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value.
3. Taking the initiative and work independently with minimal supervision
4. Identifying business needs, doing SWOT analysis, proposing potential analytical approaches for solutions, obtain approvals and the execute the work end to end.
5. Building high-performance algorithms, prototypes, predictive models and proof of concepts using Python
6. Working with SQL and other DB query languages
7. Leading, collaborating and communicating cross-functionally with stakeholders to develop appropriate methodology to answer specific business questions
8. Presenting analysis ideas, progress and results to business partners in clear and impactful manner
9. Creating powerful stories in PowerPoint. Well versed in MS Office suite specifically Excel and PowerPoint
10. Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets
EDUCATION
  • Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR
  • Bachelors + 4 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR
  • Associates + 8 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR

COMPETENCIES/SKILLS
1. Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research
2. Experience leading the projects and in executions of the projects end to end
3. Experience with databases including relational, SQL, and Graph
4. Programming experience with Python, R, or SAS and experience with ML libraries like scikitlearn, MLib, Keras, TensorFlow, Pytorch, etc.
5. Write well-abstracted and reusable code in Python, R, or Scala; you freely navigate in Linux environment;
6. Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills
7. Excellent organization/planning skills and talent for managing many large and complex datasets
8. Ability to collaborate and influence business partners and other IS resources to drive analytic projects end-to-end
9. Excellent communication skills to communicate analysis in a clear, precise, and actionable manner
10. Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.)
11. Passion for learning and staying on top of current developments in advanced analytics.
12. Biotech / Pharma experience
At Validation & Engineering Group, people always come first. We believe that when you're empowered to do your best work, bold ideas thrive and real progress happens. This isn't just a job - it's an opportunity to make a meaningful difference by shaping the future of healthcare and technology alongside a purpose-driven, supportive team.
Excited to build something meaningful together? We look forward to hearing from you.
Validation & Engineering Group is an equal opportunity employer. All applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.