Senior Scientist, Predictive Analytics/artificial

Vor 5 Tagen

Wien, Österreich Johnson & Johnson Vollzeit

**Senior Data Scientist, Predictive Analytics/Artificial Intelligence - (JRD DS)**

Janssen Research & Development, L.L.C., a division of Johnson & Johnson's Family of Companies is recruiting for a Senior Data Scientist, Predictive Analytics/Artificial Intelligence with a strong preference for this position to be located in Vienna, Austria. Remote work options may be considered on a case-by-case basis and if approved by the Company.

Discovery Data Sciences (D3S) is part of the In Silico Discovery department within Therapeutics Discovery. It is responsible for providing data analytics and Artificial Intelligence/ Machine Learning (AI/ML) support to the discovery portfolio of Janssen, from Hit Identification phase up to Late Lead Optimization. Within D3S, we have an open position for a Senior Data Scientist to join our Molecule Property Prediction Team, a global group of AI/ML experts with diverse backgrounds that support all disease area project teams with pioneering predictive models aiming to reduce attrition and drive design-make-test cycles.

Our mission is to make diversity & inclusion our way of doing business. We will advance our culture of belonging where open hearts and minds combine to spark the potential of our brilliant mix of people in every corner of Johnson & Johnson.

Key Responsibilities
- Leverage existing extensive drug discovery datasets and support and inform relevant data generation and acquisition
- Develop, deploy and maintain AI/ML predictive models for general properties relevant to pharmacokinetics and toxicology
- Encourage AI/ML democratization and understanding through the development of our AutoML framework, which enables less specialized stakeholders to build models for various additional properties, and periodic trainings to end-users from diverse backgrounds
- Provide ad hoc support to disease area projects, tackling project-specific compound annotation and design questions with AI/ML and data analytics.
- Collaborate with colleagues from medicinal and computational chemistry, screening, pharmacological safety, therapeutic areas, IT and ML operations to bring better and safer medicines faster to patients
- Contribute to the scientific weight of the department by authoring peer-reviewed papers and presenting at relevant conferences and playing an active role in outreach and shaping external collaboration landscapes

**Qualifications**:
**Qualifications**
- PhD or equivalent experience in machine learning/AI, drug design with a relevant publication track record is required.
- At least 2 years experience with machine learning/AI or drug design is required.
- Experience with Transformer models is preferred.
- Excellent knowledge of Python and affinity with AWS (or similar cloud environments) is preferred.
- Familiarity with relevant frameworks like PyTorch is a plus.
- Project management or project coordination experience or consultancy experience is a plus.
- Prior knowledge of cheminformatics is desired.
- Motivation to be part of a team that celebrates diversity and offers an inclusive working environment where creativity and innovation can thrive is required.

Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis.

Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short
- and long-term disability, business accident insurance, and group legal insurance.

JRDDS

JNJDataScience

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