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Senior Specialist, Scientific Software Engineer, Digital Insights, DSCS Digital Technologies (Hybrid)

117 000 - 184 200$
Формат работы
hybrid
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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TL;DR
Senior Specialist, Scientific Software Engineer, Digital Insights, DSCS Digital Technologies (Hybrid) (Scientific Software/Data Engineering): Building production-grade scientific software, backend services, APIs, data pipelines, and data products for drug development and laboratory automation with an accent on scaling prototypes, integrating scientific instruments, and maintaining reliable analytics-ready data. Focus on designing reusable platforms, modernizing fragmented tools, and deploying secure enterprise systems with scientists, IT, infrastructure, security, and data governance teams.

Location: Hybrid role available in Rahway, New Jersey; Boston, Massachusetts; Cambridge, Massachusetts; or West Point, Pennsylvania, United States.

Salary: $117,000–$184,200 base salary annually for the primary location; annual bonus and long-term incentive may also apply.

Company

hirify.global develops medicines and supports drug substance, drug product, analytical development, clinical supply, and related scientific operations through digital technologies.

What you will do

  • Build, scale, and sustain scientific and laboratory automation solutions from prototypes into secure, maintainable, enterprise-grade production software.
  • Design reusable platforms, backend services, and APIs that unify analytical instrument and laboratory data and consolidate legacy tools.
  • Develop and operate production data pipelines, data models, and reusable data products for reliable, analytics-ready data.
  • Own solution architecture, development, integration testing, documentation, deployment, user acceptance, and production support.
  • Partner with scientists, data scientists, IT, infrastructure, security, data governance, vendors, and other stakeholders to translate scientific needs into durable software.
  • Establish engineering practices including version control, code review, automated testing, CI/CD, onboarding, training, and production rollout.

Requirements

  • Ph.D. in Computer Science, Data Science, Software Engineering, Chemistry, Physics, Engineering, Pharmaceutical Sciences, or a closely related field; or an M.S. in one of these fields plus at least 2 years of industrial, pharmaceutical, or relevant experience; or a B.S. plus at least 4 years of such experience.
  • Deep hands-on software development experience building production-grade applications, backend services, and APIs using Python and/or equivalent languages.
  • Experience scaling and hardening software from prototype to production, architecting reusable platforms, and modernizing or consolidating fragmented or legacy tools.
  • Experience partnering with IT, infrastructure, security, and/or data governance teams to deploy and sustain software within enterprise standards.
  • Strong data engineering experience designing, building, and operating production ETL/ELT pipelines, data models, and data products using databases, data warehouses, or data lakes.
  • Experience integrating software with scientific instruments, laboratory systems, or external platforms through APIs, SDKs, or file-based interfaces.
  • Experience with version control, automated testing, code review, and CI/CD.
  • Ability to translate complex scientific requirements into maintainable software and communicate technical concepts clearly to non-technical audiences.

Nice to have

  • Experience supporting pharmaceutical development, including drug substance, drug product, or analytical development.
  • Experience integrating analytical instrument software, chromatography data systems, laboratory informatics ecosystems, ELN/LIMS platforms, or Signals.
  • Experience with high-throughput screening, experimentation workflows, scientific data standards, FAIR data principles, standardized formats, and long-term archival.
  • Experience delivering scientific or laboratory data products and using data engineering tooling or orchestration frameworks.
  • Experience developing user-facing web applications for scientific data and workflows.
  • Familiarity with cloud platforms, containerization, data governance, data lineage, and validation frameworks in regulated GxP environments.
  • Prior cross-functional software deployments, user training, and production support experience.

Culture & Benefits

  • Hybrid work arrangement with approximately 10% travel.
  • Regular employee status with medical, dental, vision, insurance, retirement benefits including 401(k), paid holidays, vacation, and compassionate and sick days.
  • Inclusive, multidisciplinary, team-oriented environment focused on trusted partnerships, technical innovation, and collective problem-solving.
  • Visa sponsorship is available.
  • Domestic and international relocation is listed as available.

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