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The Position

Our global Nonclinical Drug Safety department generates large and complexly structured data volumes. Their varied task is to understand this data in all its different forms, to process it, to standardize it and to store it in the existing database. The inclusion of additional data sources and databases is already being considered. They maintain contact with external consortia such as IHI VICT3R (virtual control). The continuation of the automated processing and the scientific evaluation of the collected data using statistical and modern evaluation methods from the field of data science and data modeling round off their profile.

Tasks & responsibilities

• In your new role, you will be responsible for processing toxicological data from existing LIMS and non-LIMS systems. You will make adjustments to new versions/changes and new test types to ensure that the process is as automated and standardized as possible (SEND format).

• You will transfer standardized SEND data to NDS's own SEND Explorer database. As a data steward, you will be responsible for generating and constantly updating scripts for the automatic transfer of SEND data to the in-house database. You will enable connections to other databases (e.g. digital pathology, omics). In each area, you will work closely with scientific experts and also act as a trainer and onboarder for new users of SEND Explorer.

• As a Principal Scientist (m/f/d), you will support cross-functional initiatives (such as translational safety initiatives) and external consortia (e.g. IHI VICTR3).

• You will develop evaluation strategies that include data generation, evaluation, integration, visualization and support for the evaluation strategies (e.g. the creation of toxicity profiles).

• When working with the team from the Computational Toxicology group, you will jointly create molecular machine learning models and cheminformatics workflows to predict toxicological endpoints using structured data or the calculation of molecular properties.

• You will also create scripts for the provision of model endpoints in the HPC via different platforms.

Requirements

• PhD in the field of natural sciences, data engineering & data science or computer science business analytics - alternatively a completed master's degree in one of the above-mentioned areas with several years of professional experience in the pharmaceutical industry

• Solid programming knowledge in Python as well as experience in other scripting languages in the HPC area (e.g. SQL and databases, AWK, bash), and experience with databases including complex SQL queries

• Solid knowledge in the field of data science and business analytics (e.g. scikit-learn, pandas, pytorch)

• Know-how in the field of data standards in toxicology (SEND) and chemical informatics knowledge are desirable

• Fluent written and spoken German and English

Ready to contact us?

Please contact our HR Direct Team, Tel: +49 (0) 6132 77-3330.

Recruitment process:

Step 1: Online application - application deadline is September 27, 2024.

Step 2: Virtual meeting end of September

Step 3: On-site interviews beginning of October

Please include the following documents when applying for this position: CV, Cover Letter

Discover our Biberach site: xplorebiberach.com

All qualified applicants will receive consideration for employment without regard to a person’s actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law.