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PAT Senior Data Scientist

Confidential Client•Biotechnology & Life Sciences
Entry LevelFull-timeOn-Site$100,500 - $145,166
Waltham, Massachusetts
A Day Ago

The PAT Senior Data Scientist at Confidential Client is responsible for developing and deploying advanced machine learning and chemometric models to enable real-time monitoring and control of vaccine manufacturing processes. This role involves analyzing spectroscopic and sensor data to ensure product quality across multiple vaccine platforms, collaborating with cross-functional teams to implement data-driven solutions in development and commercial settings, and shaping strategies for process monitoring to support scalable and precise vaccine production.

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Description

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, Pharmaceutical Manufacturing.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.


Overview

Confidential Client is hiring a PAT Senior Data Scientist to turn real-time process and sensor data into actionable insights for vaccine manufacturing. In this role you will build and deploy chemometric, machine learning, and soft-sensor models to support process monitoring, scale-up, and product quality across mRNA and non-mRNA vaccine platforms.


What You’ll Do

  • Develop and deploy predictive models and monitoring tools for real-time process oversight.
  • Build soft sensors and predictive models for critical process parameters and critical quality attributes using process and analytical data.
  • Analyze spectroscopy and sensor data (Raman, NIR, IR, UV‑visible) in online, in‑line, and at‑line contexts.
  • Apply multivariate analysis, chemometrics, statistical methods, and machine learning to improve process understanding and product quality.
  • Partner with process development, manufacturing, analytical sciences, automation, and digital teams to operationalize models in development and commercial manufacturing.
  • Support process characterization, scale-up, technology transfer, validation, and ongoing process verification through advanced data analysis.
  • Help set strategy and best practices for real‑time monitoring across vaccine platforms.

Who You Are / Qualifications

Basic qualifications

  • Ph.D. in Chemical Engineering, Bioengineering, Biotechnology, Analytical Chemistry, Data Science, Applied Mathematics, or a related scientific field.
  • 1+ years of relevant experience in the pharmaceutical, biotechnology, or academic research settings. (Interns and co-ops may be considered.)

Preferred

  • Hands-on experience building and applying real-time process monitoring, chemometric, or data science solutions in biopharma or vaccine manufacturing.
  • Strong background in multivariate analysis, chemometrics, spectroscopy-based monitoring (Raman, NIR, IR, UV‑visible).
  • Experience developing calibration, prediction, classification, and soft sensor models using process and analytical data.
  • Proven problem-solving, communication, and cross-functional collaboration skills.
  • Fluent English.

Preferred Skills & Tools

  • Proficiency in Python for data science and model development.
  • Experience with chemometrics and multivariate tools (e.g., SIMCA, SynTQ, Unscrambler).
  • Familiarity with spectroscopy data preprocessing and analysis.
  • Experience with model deployment and monitoring in manufacturing environments.

Employment Details & Location

  • Employment type: Full-time
  • Location: Waltham, MA (on-site or as required by the hiring team)
  • This role supports vaccine process development and manufacturing across multiple platforms.

Compensation & Benefits

  • Base salary range (reported by the employer): USD 100,500 — USD 145,166.66 per year. Final pay will be based on experience and location-specific considerations.
  • Competitive benefits package including healthcare, wellness programs, parental leave, and career development opportunities.

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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