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5 дней назад

Quality Data Scientist (Pharma)

84 500 - 162 000$
Тип работы
fulltime
Грейд
middle
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
Quality Data Scientist (Pharma): Building predictive and prescriptive models and end-to-end data science applications for Operations quality, product, and process analytics with an accent on statistical analysis, machine learning, deep learning, and Gen AI. Focus on consulting with business users, ensuring study integrity and regulatory compliance, and delivering KPIs, reports, and statistical analyses for senior Operations leaders.

Location: North Chicago, Illinois, United States

Salary: $84,500–$162,000 per year

Company

hirify.global discovers and delivers medicines and solutions for serious health issues across areas including immunology, oncology, neuroscience, and aesthetics.

What you will do

  • Build and oversee predictive and prescriptive models using statistical and machine-learning methodologies.
  • Deliver data science applications, studies, and proofs of concept through project teams and technology partnerships.
  • Consult with business users, analyze requirements, and recommend solutions for changing business needs.
  • Develop advanced analytics using supervised and unsupervised machine learning, statistical analysis, deep learning, predictive modeling, and Gen AI.
  • Collaborate with data science and statistical teams, business partners, and senior Operations leaders while mentoring junior colleagues.
  • Create standard KPIs, reports, and statistical analyses while maintaining data and study integrity.

Requirements

  • Bachelor’s or master’s degree in statistics, mathematics, analytics, bioinformatics, data science, or an equivalent field; a PhD is also accepted.
  • At least 4 years of related experience with a bachelor’s degree, 2 years with a master’s degree, or no minimum experience with a PhD.
  • Intermediate proficiency in R, Python, or other statistical packages, with knowledge of statistical and data-mining techniques.
  • Intermediate proficiency with Power BI, Spotfire, Tableau, or equivalent visualization tools.
  • Intermediate proficiency with Dataiku, Snowflake, Databricks, or equivalent data science platforms.
  • Effective communication, problem-solving, analytical skills, and the ability to manage multiple priorities in a fast-paced environment.

Nice to have

  • Experience with machine learning and other advanced analytics techniques.

Culture & Benefits

  • Cross-functional collaboration with data scientists, functional leaders, and business partners.
  • Opportunities to coach and mentor junior team members.
  • Paid vacation, holidays, and sick leave.
  • Medical, dental, and vision insurance.
  • 401(k) and eligibility for short-term incentive programs.
  • Work governed by applicable regulations, GMPs, ICH Guidelines, standard operating procedures, and quality standards.

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