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3 часа назад

Principal Scientist, Signals Strategy & Informatics Lead (Pharmaceutical Informatics)

173 200 - 272 600$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Principal Scientist, Signals Strategy & Informatics Lead (Pharmaceutical Informatics): Leading the strategy, roadmap, software development life cycle, and adoption of Signals as an integrated scientific data hub for pharmaceutical development with an accent on structured data governance, analytical performance monitoring, predictive analytics, and prospective modeling. Focus on translating scientific workflows into scalable informatics products, designing predictive models, and driving cross-functional decisions across CMC development.

Location: Hybrid; primary location in Rahway, New Jersey, United States. The posting is for residents of the United States, Canada, and Puerto Rico.

Salary: $173,200–$272,600 annual base salary for the primary location; eligible for annual bonus and long-term incentive, if applicable.

Company

hirify.global is a global biopharmaceutical company developing prescription medicines, oncology products, vaccines, and animal health products, with operations in more than 140 countries and a strong research and development focus.

What you will do

  • Own the scientific vision, strategy, multi-year roadmap, adoption, and value delivery for Signals across Development Sciences and Clinical Supply.
  • Evolve Signals Notebook from a data repository into an integrated, automated data hub supporting drug substance, drug product, and analytical development.
  • Own the Signals software development life cycle, including requirements, prioritization, release planning, testing, deployment, lifecycle management, and continuous improvement.
  • Establish governance, decision rights, stage gates, data quality practices, metadata management, and success metrics for Signals.
  • Develop predictive analytics and prospective modeling for method performance, assay performance, product and process trending, emerging risks, planning, and scientific decisions.
  • Lead cross-functional collaboration with scientists, data scientists, statisticians, software engineers, product teams, Quality, IT, and enterprise data teams; drive training, change management, and adoption.

Requirements

  • Ph.D. in Chemical Engineering, Biochemical Engineering, Biochemistry, Engineering, Chemistry, Biology, Pharmaceutical Sciences, or a closely related field plus at least 6 years of relevant industrial, pharmaceutical, or other experience; or a relevant master’s degree plus at least 8 years; or a relevant bachelor’s degree plus at least 10 years.
  • Relevant experience in pharmaceutical, biotechnology, life sciences, or healthcare, with impact in analytical development, laboratory informatics, scientific data management, or a related discipline.
  • Subject matter expertise and a track record of scientific contribution, innovation, and problem-solving in analytical sciences, scientific informatics, data science, or digital product development.
  • Experience leading complex multidisciplinary scientific or digital initiatives from strategy and concept through implementation, adoption, and measurable value realization.
  • Experience as a scientific lead, business owner, product owner, or capability lead for an enterprise digital platform, laboratory informatics product, or scientific data capability.
  • Experience defining scientific or product strategy, multi-year roadmaps, priorities, and risk-based decisions in complex stakeholder environments.
  • Strong knowledge of software development life cycle practices, structured pharmaceutical data, laboratory informatics, scientific data standards, metadata, data quality, traceability, and governed data for analytics and modeling.
  • Experience with analytical performance monitoring, statistical trending, multivariate analysis, and developing, deploying, validating, or governing predictive and prospective models based on structured scientific data.
  • Ability to translate complex workflows and business requirements into product requirements, scalable informatics solutions, measurable outcomes, and recommendations for senior technical and non-technical audiences; ability to influence without direct authority and lead matrixed teams.

Nice to have

  • Experience in informatics.
  • Experience in the pharmaceutical industry.

Culture & Benefits

  • Regular employee position with hybrid work arrangements.
  • Comprehensive medical, dental, vision, insurance, retirement, 401(k), paid holiday, vacation, compassionate, and sick-day benefits.
  • Domestic relocation support is indicated, and visa sponsorship is available.
  • Travel requirements are 10%.
  • Work is conducted in an inclusive environment that values diverse perspectives, respectful challenge, collaboration, and innovation.

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