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Data Expert for Model-Informed Drug Development (MIDD) (all genders)

Bayer -
Berlin

Jetzt bewerben

Details zur Stelle

Teilzeit | Vollzeit
77.300 € – 93.800 € pro Jahr
vor 16 Stunden

Leistungen

Betriebsarzt/Betriebsärztin

Qualifikationen

Doktorat
Informatik
SAS
R
Python
Deutsch

Vollständige Stellenbeschreibung

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Data Expert for Model-Informed Drug Development (MIDD) (all genders)

As a member of the Model-Informed Drug Development (MIDD) team, you shape the data strategy, conduct exploratory analyses and prepare analysis datasets for population PK, PKPD, exposure response and PBPK analyses. You empower colleagues worldwide to make data-driven decisions and foster innovative approaches in drug development. Within our Pharmaceuticals division, this position offers you the opportunity to actively contribute to global projects.

YOUR TASKS AND RESPONSIBILITIES

You apply MIDD data expertise across therapeutic areas and are responsible for developing and implementing the data strategy in MIDD teams
You turn data into insights, by conducting data exploration, creating visualizations and performing exploratory analyses
You create high-quality datasets in R for modeling and simulation analyses ready for use in platforms such as NONMEM, Monolix, and PK-Sim/MoBi
You ensure robust and reliable results through quality checks, documenting dataset creating processes and provide constructive feedback on data from partner functions and CROs
You thrive and take ownership in collaborative teams, taking responsibility for data-related aspects of the MIDD contributions.
You support or lead initiatives to improve departmental effectiveness and advance innovative methods, including AI-driven approaches

WHO YOU ARE

You hold a university degree in computer science, data science, mathematics, statistics, life sciences, or a related field and have gained first professional experience in one of those areas; a PhD degree is beneficial
You possess hands-on programming skills in R, SAS, Python, or similar, especially in data preparation and visualization
You have exposure to or a strong interest in MIDD/pharmacometrics, statistical analysis, clinical data science or SDTM/ADaM programming
You stand out with a proactive, ownership-driven mindset and confidently tackle new or unclear situations
Your strong communication and collaboration skills help you explain complex topics in a clear and engaging way
You are motivated by curiosity, analytical thinking, and a growth mindset to quickly develop into the Data Expert role
Fluent English, both written and spoken, and basic German or an interest in developing German language skills round off your profile

WHAT WE OFFER

Our benefits package is flexible, appreciative, and tailored to your lifestyle, because: What matters to you, matters to us!

We ensure your financial stability with a competitive salary between 77.300€ and 93.800€ per year (full-time) plus a variable component. Your compensation is based on your qualifications, skills, and professional experience.
Whether it’s hybrid work models or part-time arrangements: Whenever it is possible, you will have the flexibility to work how, when and where it is best for you.
Your family is a top priority. We offer loving company daycare centers at multiple locations, support in finding childcare, time off for the care of elderly or dependent family members, summer camps for children, and much more.
We support your professional growth by providing access to learning and development opportunities, training programs through the Bayer Learning Academy, development dialogues, as well as coaching and mentoring programs.
We promote health awareness and opportunities for selfcare through various measures, such as free health checks with the company doctor.
We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work.

Be You. Be Bayer.

#LI-AMSEMEA

Location:

Germany : Berlin : Berlin || Germany : North Rhine Westfalia : Leverkusen

Division:

Pharmaceuticals

Reference Code:

873567

Jetzt bewerben

Erweiterte Suche

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