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Vor 11 Tagen

R&D Statistician/Data Scientist (f/m/d)

R&D Statistician/Data Scientist (f/m/d)

AOP Health

Pharmazeutische Produkte, Arzneimittel

  • Wien
  • Vollzeit
  • 54.000 € – 75.500 € (von XING geschätzt)
Hybrid

R&D Statistician/Data Scientist (f/m/d)

Über diesen Job

AOP Health is the European pioneer for integrated therapies for rare diseases and in critical care. To enhance our team in Vienna we are looking for an:


In this role, the Statistician is responsible as the primary point of contact and subject matter expert for all statistical work within the R&D department, ensuring high-quality statistical analysis and insights.

What Your Day To Day Will Look Like

  • Provide strategic input into study design and perform sample size calculations, power analyses.
  • Collaborate with cross-functional teams to develop and refine study protocols, statistical analysis plans (SAPs), and case report forms (CRFs).
  • Propose, prepare and perform exploratory data analyses, ad-hoc analyses as relevant for the study or project objectives. 
  • Evaluate and select appropriate statistical methods for complex study designs, including multivariate analyses.
  • Analyze and interpret complex datasets to generate actionable insights and conclusions.
  • Ensure statistical accuracy and reliability in the preparation of clinical study reports (CSRs) and regulatory documentation.
  • Develop and validate statistical models to support study objectives and decision-making.
  • Support the development and implementation of innovative statistical methodologies.

Your Qualifications and Experience

  • University degree (Master in Statistics or equivalent) with 7+ years relevant work experience or PhD (in Statistics or equivalent) with 3+ years relevant work experience
  • Solid track record of successfully leading the statistical component of clinical studies, including complex or innovative trials.
  • Proficiency in statistical programming languages (e.g., SAS, R) and familiarity with data management principles and clinical trial data structures.
  • Demonstrated experience with advanced statistical methodologies, such as Bayesian methods, adaptive designs, and predictive modeling.
  • Expertise in handling and analyzing high-dimensional data from clinical trials or other complex studies.
  • Strong problem-solving skills and ability to adapt statistical approaches to evolving study needs.
  • Excellent analytical skills with speed and proficiency in Microsoft 365 tools.
  • Proactive, confident, and solutions-oriented with a "can-do" attitude.

Our offer

  • A position with personal responsibility and space for creativity
  • Open corporate culture with the opportunity to bring in your own ideas
  • Highly motivated, agile, and international team
  • Great opportunities for personal and professional development
  • Attractive work environment with excellent career opportunities and flat hierarchies
  • Competitive salary package plus bonus and various benefits
  • Gross monthly salary provided for this function is a minimum of EUR 4.500.- based on full-time employment. Any potential overpayment depends on professional experience and qualifications.
  • Bonus
  • Homeoffice
  • Company car
  • Employee mobile phone
  • Flexible working hours
  • Laptop
  • Initial and continuing education
  • Canteen
  • Good transport connection
  • Employee events
  • Meal allowance
  • Company doctor
  • Parking spot
  • Healthmeasures
  • Employee discount
  • Bonus
  • Homeoffice
  • Company car
  • Employee mobile phone
  • Flexible working hours
  • Laptop
  • Initial and continuing education
  • Canteen
  • Good transport connection
  • Employee events
  • Meal allowance
  • Company doctor
  • Parking spot
  • Healthmeasures
  • Employee discount
  • Bonus
  • Homeoffice
  • Company car
  • Employee mobile phone
  • Flexible working hours
  • Laptop
  • Initial and continuing education
  • Canteen
  • Good transport connection
  • Employee events
  • Meal allowance
  • Company doctor
  • Parking spot
  • Healthmeasures
  • Employee discount
  • Bonus
  • Homeoffice
  • Company car
  • Employee mobile phone
  • Flexible working hours
  • Laptop
  • Initial and continuing education
  • Canteen
  • Good transport connection
  • Employee events
  • Meal allowance
  • Company doctor
  • Parking spot
  • Healthmeasures
  • Employee discount
  • Bonus
  • Homeoffice
  • Company car
  • Employee mobile phone
  • Flexible working hours
  • Laptop
  • Initial and continuing education
  • Canteen
  • Good transport connection
  • Employee events
  • Meal allowance
  • Company doctor
  • Parking spot
  • Healthmeasures
  • Employee discount
  • Bonus
  • Homeoffice
  • Company car
  • Employee mobile phone
  • Flexible working hours
  • Laptop
  • Initial and continuing education
  • Canteen
  • Good transport connection
  • Employee events
  • Meal allowance
  • Company doctor
  • Parking spot
  • Healthmeasures
  • Employee discount
  • Bonus
  • Homeoffice
  • Company car
  • Employee mobile phone
  • Flexible working hours
  • Laptop
  • Initial and continuing education
  • Canteen
  • Good transport connection
  • Employee events
  • Meal allowance
  • Company doctor
  • Parking spot
  • Healthmeasures
  • Employee discount
  • Bonus
  • Homeoffice
  • Company car
  • Employee mobile phone
  • Flexible working hours
  • Laptop
  • Initial and continuing education
  • Canteen
  • Good transport connection
  • Employee events
  • Meal allowance
  • Company doctor
  • Parking spot
  • Healthmeasures
  • Employee discount
  • Bonus
  • Homeoffice
  • Company car
  • Employee mobile phone
  • Flexible working hours
  • Laptop
  • Initial and continuing education
  • Canteen
  • Good transport connection
  • Employee events
  • Meal allowance
  • Company doctor
  • Parking spot
  • Healthmeasures
  • Employee discount
  • Bonus
  • Homeoffice
  • Company car
  • Employee mobile phone
  • Flexible working hours
  • Laptop
  • Initial and continuing education
  • Canteen
  • Good transport connection
  • Employee events
  • Meal allowance
  • Company doctor
  • Parking spot
  • Healthmeasures
  • Employee discount

Your Contact


Angelika Drabek
Angelika.Drabek@aoporphan.com +4366488963746
Further information on our website:
aop-health.com

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AOP Health

Pharmazeutische Produkte, Arzneimittel

51-200 Mitarbeitende

Wien, Österreich

Bewertung von Mitarbeitenden

Vorteile für Mitarbeitende

Flexible Arbeitszeiten
Home-Office
Kantine
Restaurant-Tickets
Betriebliche Altersvorsorge
Barrierefreiheit
Gesundheitsmaßnahmen
Betriebsarzt
Training
Parkplatz
Günstige Anbindung
Vorteile für Mitarbeitende
Firmenwagen
Smartphone
Gewinnbeteiligung
Veranstaltungen
Privat das Internet nutzen
Hunde willkommen

Unternehmenskultur

AOP Health

Branchen-Durchschnitt

Unternehmenskultur

144 Mitarbeitende haben abgestimmt: Sie bewerten die Unternehmenskultur bei AOP Health als modern. Dies stimmt in etwa mit dem Branchen-Durchschnitt überein.

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