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3 дня назад

Senior Analyst - Data Science (Pharma)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
remote
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR

Senior Analyst - Data Science (Pharma): Design and operationalize A/B tests, multivariate tests, and quasi-experimental designs for pharma omnichannel campaigns with an accent on causal inference methods and statistical rigor. Focus on building campaign effectiveness models, generating business-relevant insights, and collaborating with cross-functional teams to optimize marketing ROI.

Company

Technology-led healthcare solutions provider enabling organizations to be future-ready through analytics and innovation at the intersection of healthcare and technology.

What you will do

  • Design and operationalize experiments including A/B tests, multivariate tests, and quasi-experimental methods for HCP digital, email, rep detailing, and media campaigns.
  • Conduct statistical analysis of results with power analysis, confidence intervals, significance testing, and effect size estimation.
  • Build and maintain campaign effectiveness models using regression, Bayesian methods, or uplift modeling.
  • Translate findings into action-oriented insights, create executive summaries, and recommend optimization actions.
  • Collaborate with omnichannel, marketing, and field teams to advise on testing strategies and interpret results.
  • Mentor junior team members and codify test-and-learn best practices.

Requirements

  • 5+ years in pharmaceutical commercial or omnichannel analytics with cross-functional experience.
  • Proficiency in PySpark, Python, SQL, and data platforms like Snowflake, Dataiku, AWS.
  • Experience with MLOps, version control, model monitoring, and automation.
  • Strong knowledge of pharma data assets (APLD, DDD, NBRx, TRx, CRM, digital engagement).
  • Expertise in ML algorithms (XGBoost, Random Forest, SVM, Logistic Regression, Neural Networks, NLP).
  • Hands-on with use cases like Next Best Action, attribution models, segmentation, and marketing ROI.

Culture & Benefits

  • Global fast-track career growth with mentorship from industry experts.
  • Entrepreneurial environment guided by passion, innovation, collaboration, and empathy.
  • Purpose-driven culture focused on customer obsession and enabling future-readiness in healthcare.
  • Opportunities at the convergence of healthcare and technology.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’