TechnoVal Alliance
Pharma Data Scientist - Remote ( in EST) - USC only
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📍 Altona
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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
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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