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Python Pharmaceutical Jobs (NOW HIRING)

Data Engineer

Davie, FL ยท On-site

$104K - $126K/yr

... Python certifications. 5. Must have experience using Power BI in Pharmaceutical Industry. (The worker must have good understanding of the Pharmaceutical industry.) 6. Proficiency in programming ...

Biovia ELN Template Developer

Princeton, NJ

$50.50 - $66.75/hr

LabAnswer performs significant laboratory automation work in pharmaceuticals, bio-pharmaceuticals ... The Biovia/Symyx ELN Developer will configure templates and program workflows using Python ...

Develop analytical models, simulations, and workflows using Python and related tools * Work with industrial data systems and manufacturing datasets * Collaborate with product and engineering teams to ...

Epidemiologist

New Haven, CT ยท On-site +1

$80K - $120K/yr

... SAS, Python, STATA, SQL, or similar). Preferred Skills * 1-5 years of epidemiology or analytical research experience in industry, academia, government, healthcare, pharmaceuticals, or related ...

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Python Pharmaceutical information

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$58

$86

How much do python pharmaceutical jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for python pharmaceutical in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is the difference between Python Pharmaceutical vs Pharmacovigilance Analyst?

AspectPython PharmaceuticalPharmacovigilance Analyst
Required CredentialsPython programming skills, pharmaceutical knowledge, possibly a degree in life sciencesDegree in pharmacy, life sciences, or healthcare; knowledge of drug safety regulations
Work EnvironmentData analysis, software development, research labs, pharmaceutical companiesMonitoring drug safety, analyzing adverse event reports, regulatory submissions
Employer & Industry UsageTech-driven pharmaceutical companies, biotech firms, research institutionsPharmaceutical companies, healthcare agencies, regulatory bodies

Python Pharmaceutical professionals focus on developing and applying Python-based tools for drug research and data analysis, while Pharmacovigilance Analysts specialize in monitoring and assessing drug safety reports. Both roles require a strong understanding of pharmaceuticals but differ in technical skills and daily tasks.

What cities are hiring for Python Pharmaceutical jobs? Cities with the most Python Pharmaceutical job openings:
Infographic showing various Python Pharmaceutical job openings in the United States as of May 2026, with employment types broken down into 62% Full Time, 13% Part Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Data Engineer

Data Engineer

Unicon Pharma Inc.

Davie, FL โ€ข On-site

$104K - $126K/yr

Contractor

Posted 16 days ago


Job description

Description:
Title: Data Engineer (Core Data Engineer role)
1 year assignment.(Temp to perm: Based on openings and performance)
Davie, FL (Onsite)

Shift: Monday - Friday 8:00am - 5:00pm, 40 hours a week
Core Essential skill sets candidates must have:
1. Min 3 years experience as an expert using Power BI. Looking for persons who have created presentations and Dashboards. We are not looking for someone who has worked with a team to create these as a team but we are needing someone who knows how to create as aspects of the presentations and dashboard on their own.
2. Must be certified with Power BI Fabric.
3. Must have experience using Power BI creating models and dashboards. (Power BI fabrics & semantic models.)
4. Must have PL300 & Python certifications.
5. Must have experience using Power BI in Pharmaceutical Industry. (The worker must have good understanding of the Pharmaceutical industry.)
6. Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks like TensorFlow or PyTorch.
Education:
Minimum Master's in Data Science and Compute Science - Graduate in recent years
Job Description:
a. Data Analysis: Analyze large datasets from manufacturing processes to derive actionable insights.
b. Predictive Modeling: Develop and implement predictive models to define process performance.
c. Collaboration: Work closely with cross-functional teams, including chemists, engineers, etc., to support data-driven decision-making.
d. Machine Learning: Apply machine learning algorithms to optimize process development and manufacturing processes.
e. Data Visualization: Create visualizations to communicate findings to stakeholders and support strategic planning.
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