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3 дня назад

Sr. Data Scientist - Process Modeling (Biotech)

134 168 - 181 522$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Sr. Data Scientist - Process Modeling (Biotech): Developing digital process-modeling applications, data products, pipelines, and visualizations for biologics drug-substance development, technology transfer, and manufacturing with an accent on AI-enabled workflows, FAIR data, and process optimization. Focus on integrating modeling assets into business processes, evaluating performance improvements, and solving open-ended analytical challenges across multidisciplinary engineering and science teams.

Location: Boston, Massachusetts, United States

Salary: $134,168.25–$181,521.75 per year

Company

hirify.global is a biotechnology company developing and manufacturing medicines for serious illnesses across oncology, inflammation, general medicine, rare disease, and obesity-related conditions.

What you will do

  • Develop and expand digital process-modeling applications for the drug-substance network.
  • Build data products, pipelines, modeling assets, and visualizations supporting drug-substance development, technology transfer, manufacturing, and lifecycle management.
  • Enable AI agentic workflows and integrate AI solutions into process-development business processes.
  • Own digital products and lead change management for technology-transfer applications.
  • Collaborate with scientists, engineers, and digital product teams to improve processes and technology-transfer timelines.
  • Prepare cost-benefit analyses, forecasts, scenario analyses, and performance-improvement recommendations for stakeholders.

Requirements

  • Doctorate degree, or a master's degree with 2 years of data science or engineering experience, or equivalent experience based on the listed education pathways.
  • Experience applying data science in an engineering or scientific environment.
  • Experience with chemical-engineering modeling, drug substance, technology transfer, or biotechnology processes.
  • Experience with process modeling for cell-culture, harvest, and purification scale-up.
  • Strong written and verbal communication, leadership, self-direction, and cross-functional collaboration skills.
  • Experience with Python, SQL, Databricks, AI tools, React, or BI tools such as Spotfire, Tableau, or Power BI.

Nice to have

  • MS degree or doctorate in an engineering or scientific field.
  • At least 3 years of experience in a biotechnology role.
  • Experience with Agile software development methodologies.
  • Experience developing AI applications for process-development workflows.

Culture & Benefits

  • Collaborative, innovative, and science-based work environment.
  • Health, dental, vision, life, disability, and flexible spending benefits.
  • Retirement and savings plan with company contributions.
  • Annual bonus program and stock-based long-term incentives.
  • Paid time off and career-development opportunities.
  • Sponsorship for this role is not guaranteed.

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