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Praxis bemorlarni klinik tadqiqotlarda ishtirok etish imkoniyatlari bilan bog‘lashga yordam beradigan sog‘liqni saqlash va konsalting kompaniyasidir. 2002-yilda tashkil etilgan kompaniya turli terapevtik yo‘nalishlardagi tadqiqotlar uchun moslashtirilgan ishtirokchi jalb qilish dasturlarini ishlab chiqadi. U butun dunyo bo‘ylab mos ishtirokchilarni aniqlash hamda bemorlarning klinik tadqiqot jarayonini yaxshiroq tushunib borishini qo‘llab-quvvatlash uchun maxsus vositalar, bemorlarni jalb etish strategiyalari va ma’lumotlar tahlilini birlashtiradi.
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Senior CMC Data Scientist — United States Remote

Lead data science for CMC process development at Praxis, building mechanistic models, FAIR data products, and AI-enabled tools for a clinical-stage CNS biopharmaceutical company. Use analytics to improve drug development and technology-transfer decisions.

USAmerika Qo‘shma Shtatlari
150 000 $ – 170 000 $ / yil
MasofaviyTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMa’lumotlar olimi
PythonSQLTableau

Tavsif

  • Create, validate, and deploy mechanistic, hybrid, and data-driven models for drug substance, drug product, packaging, labeling, technology transfer, and manufacturing.
  • Convert DoE, PAT, IPC, batch-record, and related process data into predictive analytics that support process understanding, control strategies, risk evaluation, and phase-appropriate decisions.
  • Develop analytics for blending, granulation, compression, coating, fill/finish, packaging, and labeling, covering yield, throughput, readiness, and supply-chain scenarios.
  • Build and maintain pipelines and FAIR data products that combine internal and CRO/CDMO data into traceable, reusable datasets in Databricks and related platforms.
  • Create dashboards and visualizations tailored to technical teams and executive stakeholders.
  • Own the digital product roadmap for process modeling and technology-transfer analytics, setting priorities and supporting adoption.
  • Use AI and machine learning, including agentic workflows and LLM-based tools, to accelerate CMC data review, knowledge capture, and recurring analysis under validation and data-integrity controls.
  • Apply forecasting, scenario modeling, and cost-benefit analysis to improve right-first-time execution and reduce technology-transfer timelines.
  • Present recommendations, support CMC data science strategy and regulatory submissions, and mentor colleagues in data science and modeling methods.
  • Partner with Engineering, Process Chemistry, Formulation, Analytical Development, Quality, Data Science, and external CDMOs.

Talablar

  • Master’s degree in Chemical Engineering, Pharmaceutical Sciences, Data Science, or a related scientific or engineering discipline, with demonstrated data science application in process development; equivalent experience with a bachelor’s degree may also qualify.
  • At least five years of relevant experience in biotech or pharmaceutical process development, process engineering, or data science, ideally involving drug substance or drug product development or technology transfer.
  • Practical experience with process modeling, design of experiments, statistical analysis, and data-informed decision-making.
  • Advanced hands-on ability with Python and SQL.
  • Experience with Databricks or a comparable data platform, plus business intelligence and visualization tools such as Power BI, Tableau, or Spotfire.
  • Working knowledge of cGMP, ALCOA+, CMC regulatory expectations, and GxP-validated computerized systems.
  • Ability to navigate ambiguous problems, explain complex concepts clearly, work independently, and build strong cross-functional relationships.
  • Curiosity, creativity, innovation, organization, close attention to detail, and a consistent focus on high-quality outcomes.
  • Flexibility to travel when needed.

Imtiyozlar

  • The company covers 99% of medical, dental, and vision plan premiums.
  • Company-paid life insurance, AD&D, and disability coverage.
  • Voluntary plans allow employees to customize their coverage.
  • Dollar-for-dollar 401(k) matching is available on eligible contributions up to 6%.
  • Long-term stock incentives and an employee stock purchase plan.
  • Discretionary quarterly bonus opportunity.
  • Highly flexible wellness benefit.
  • Generous paid time off.
  • Paid holidays.
  • Company-wide shutdown periods.

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