Merck is seeking one motivated Pharmacometry Data Scientist to join its 
Pharmacometric team at Darmstadt headquarter (Germany). To apply please visit 
the careers pages on 
https://career012.successfactors.eu/career?company=merckgroup  and enter the 
Requisition ID: 174818 or click the link below
https://career5.successfactors.eu/sfcareer/jobreqcareerpvt?jobId=174818&company=merckgroup&username=&st=3E27ADBCC10633994864DA60B2EC3CDDC0B8DE96

A career at Merck is an ongoing journey of discovery: our 52,000 people are 
shaping how the world lives, works and plays through next generation 
advancements in healthcare, life science and performance materials. For 350 
years and across the world we have passionately pursued our curiosity to find 
novel and vibrant ways of enhancing the lives of others.

Your role:
The Pharmacometry Data Scientist (m/f) will be responsible within Pharmacometry 
team for creating and overseeing preparation of NONMEM Input Files (NIF), 
either internally or outsourced, for the conduct of population PK/PD analyses 
ready for submission. You will be responsible for drafting data specification 
plan in collaboration with Pharmacometricians. You will gather requirements for 
data specifications by participating in meetings with Clinicians, Clinical 
pharmacologist, Drug safety and Statisticians to create analysis ready 
datasets. In addition, the Pharmacometry Data Scientist participates to improve 
efficiency and quality of dataset construction, analysis workflow, reporting, 
and submission of data to health authorities. You will act as a primary contact 
person for managing external vendors producing the NIF activities. You are also 
expected to perform exploratory summary graphical analysis, tables, 
plausibility checks, first test NONMEM or Monolix run, etc.
Who you are:

  *   MSc in Data Sciences, Pharmaceutical Sciences, Statistics, Mathematics, 
or related fields with a minimum 3 to 5 years' expertise in SAS programming in 
pharmaceutical/biotech industry.
  *   Must be an expert in CDISC SDTM and ADaM datasets; knowledge and 
familiarity with NONMEM software and PK/PD dataset structure is highly 
desirable.
  *   Expertise in R is highly recommended, or at least willing to learn.
  *   Knowledge of Oncology therapeutic area eg RECIST, CTCAE is a plus.
  *   Excellent verbal and written communications skills in English

What we offer: With us, there are always opportunities to break new ground. We 
empower you to fulfil your ambitions, and our diverse businesses offer various 
career moves to seek new horizons. We trust you with responsibility early on 
and support you to draw your own career map that is responsive to your 
aspirations and priorities in life. Join us and bring your curiosity to life!
Curious? Apply and find more information at come2merck.com

With best regards,
Akash Khandelwal, Associate Director, Local Head of Pharmacometry (Darmstadt)
Pascal Girard, Senior Scientific Director, Global Head of Pharmacometry









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