TechnoVal Alliance

Pharma Data Scientist - Remote ( in EST) - USC only

Check with seller / month
Altona, Colorado, United States Work from home Active
Actively Hiring Altona Full Time
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Job at a Glance

Category
Work from home
Location
Altona, Colorado, United States
Salary
Check with seller
Job Type
Full Time
Company
TechnoVal Alliance
Status
Open & Active

Job Description

Additional Job Information:

Title: Lead Data Scientist - Remote ( in EST)

Start Date: 12/16/2026

Location: Canonsburg, PA, United States

Onsite Flexibility: 0% Remote, East Coast

Description:

This person will lead data initiatives and drive advanced analytics within a manufacturing environment.

In this role, the Data Scientist will work on data-driven initiatives to optimize pharmaceutical manufacturing processes. This role requires deep expertise in data science, statistical analysis, and machine learning, combined with experience in pharmaceutical or biopharmaceutical manufacturing. The ideal candidate will have a proven track record of leading data science teams and delivering impactful analytics solutions.

Responsibilities
• Lead data-driven projects to enhance manufacturing processes, product quality, and operational efficiency.
• Develop and implement predictive models, statistical analyses, and machine learning algorithms.
• Collaborate with cross-functional teams, including process engineering, quality control, and IT, to define data-driven goals.
• Ensure data accuracy, integrity, and compliance with regulatory frameworks (FDA, EMA, etc.).
• Create visualizations and dashboards to communicate key insights and findings to stakeholders.
• Stay current with industry trends and emerging technologies in data science and pharmaceuticals.
• Mentor and guide junior data scientists and analysts.

Qualifications
• PhD or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field.
• 7+ years of experience in data science, with at least 3 years in a lead or management role.
• Strong experience in pharmaceutical or biopharmaceutical manufacturing environments.
• Proficiency in data science tools and programming languages (Python, R, SQL, TensorFlow, etc.).
• Expertise in data visualization tools (Tableau, Power BI) and big data technologies.
• Familiarity with regulatory frameworks and compliance requirements.
• Excellent problem-solving, analytical, and communication skills.

phani@technovalusa.com
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