Process Data Scientist – Town of East Greenbush, NY
The Process Data Scientist at Confidential Client is responsible for building and maintaining automated data pipelines and databases to support manufacturing and process sciences. This role develops interactive dashboards using platforms like Spotfire and Power BI, leveraging AI-assisted tools to accelerate solution delivery, and collaborates cross-functionally to create scalable reporting and monitoring solutions that enhance operational efficiency.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Biotechnology.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client is seeking a Process Data Scientist to join their Process Data Management team. In this role you will build, scale, and maintain data solutions that provide manufacturing and process stakeholders with reliable, near real-time access to process and departmental data.
- Build, populate, and maintain databases and automated ETL pipelines for new and existing data sources.
- Create integrations that deliver clean, validated data into centralized stores.
- Develop interactive dashboards and analytical applications using Spotfire, Power BI, or similar visualization platforms.
- Use modern development tools — including AI-assisted development where appropriate — to accelerate delivery of dashboards, repeatable code, and automation.
- Partner cross-functionally with Manufacturing, Drug Product, Process Sciences, Quality, and Supply Chain to design scalable reporting and monitoring solutions.
- Develop automated tools and workflows that reduce manual effort and improve data reliability.
- Gather requirements, present project updates, train end users, and document solutions for ongoing support.
Location, Schedule & Employment Type
- Location: Town of East Greenbush, NY (on-site)
- Shift: Monday–Friday, 8:00 AM – 4:30 PM
- Employment type: Full-time
- Note: Some on-site presence is required. Talk with your recruiter for details about flexibility.
Minimum Qualifications
Level will be set based on relevant experience and education.
- Bachelor’s degree in life sciences, chemistry, biochemistry, biology, mathematics, computer science, or a related field.
- Associate Process Data Scientist: Bachelor’s degree + 0–2 years relevant experience.
- Process Data Scientist: Bachelor’s degree + 2+ years relevant experience.
- Demonstrated experience designing or maintaining databases, ETL processes, or automated data pipelines.
- Familiarity with data visualization tools such as Spotfire or Power BI.
- Strong communication skills for working with technical and non-technical stakeholders.
Preferred Qualifications
- Degree in Chemistry, Biochemistry, Biology, Mathematics, or Computer Science.
- Experience with PI, Seeq, Dataiku, or comparable data & analytics platforms.
- Prior experience in manufacturing, laboratory, GMP, or biopharmaceutical environments.
- Experience developing enterprise reporting and dashboard solutions.
- Experience capturing business requirements and translating them into technical implementations.
- Familiarity with AI-assisted analytics or development tools.
Compensation & Benefits
- Salary range (annual): $62,355 - $110,000. Final offer will be based on role level, location, experience, and other factors.
- Confidential Client may offer a comprehensive total rewards package that can include bonuses, retirement benefits (e.g., 401(k) match), medical/dental/vision insurance, paid time off, and other standard benefits. Exact offerings depend on role and location.
Hiring Process & Legal Notices
- Employment is contingent on verification of right to work and may include background checks consistent with applicable law.
- Confidential Client is committed to reasonable accommodations for applicants with disabilities. If you need accommodation during the hiring process, please notify Careertakes.
- This posting follows all applicable US federal and state hiring requirements for the job location.
Who Should Apply
This role is a good match for data-focused scientists or engineers who want to apply data engineering, analytics, and visualization skills to manufacturing/process problems within the biotechnology sector. If you enjoy building pipelines, automating workflows, and delivering actionable dashboards to stakeholders, we encourage you to apply.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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