Genetics and Genomics Data Manager
vor 5 Monaten
**Beschreibung**:
For our international medical partner, F. Hoffmann-La Roche Ltd. in Basel, we are looking for a qualified and motivated **Genetics and Genomics Data Manager** for a temporary contract of 6 months.
Roche believes that diversity in scientific thinking will produce innovations in healthcare so desperately needed by society. In that context, we have two large Research organizations. Genentech Research and Early Development (gRED) and Roche Pharma Research and Early Development (pRED).
The PS BioX GnG (Genetics and Genomics) chapter is part of the Pharmaceutical Sciences (PS) organization in the broader pRED organization.
This chapter integrates technical expertise and biological knowledge to guide and execute genetics and genomics biomarker strategies in pre-clinical and early clinical programs.
The scope is to develop, qualify, implement, and interpret results of genetic and genomic assays to inform e.g. on disease, patient stratification, MoA, target engagement, target link to disease, efficacy, and safety.
PS BioX GnG collaborates with Disease Areas and Functions to provide state-of-the-art solutions that address Biomarker questions across the pRED portfolio. We enable decision-making in our programs supported by high-quality and FAIR biomarker data to ultimately match the right molecule to the right patient.
The two groups work closely regarding the ingestion and acquisition of Genomic and Genetic data.
**Tasks**:
- Support ingestion of High dimensional Genomic and Genetic data on studies
- Work with gRED colleagues/PS BioX GnG scientists, CROs/Vendors to pre-align on data transfer requirements (e.g. Metadata requirements)
- Manually create or provide fit-for-purpose tools that allow an overview of what patients, samples we have data for in our repositories and thereby facilitating high dimensional data reconciliation possible at a patient or sample level
- Perform data reconciliation checks on samples and data
**Must Haves**:
- MSc, PhD or similar qualification in a data science discipline combined with a degree or significant research experience in biology (e.g., statistics/ biostatistics, epidemiology, bioinformatics, health economics, computational biology, computer science, mathematics, outcomes research, public health, biology, medicine, psychology)
- 3 + years of relevant industry experience or a role as a project manager in a multi-lab/research group academic collaboration involving significant data generation and data analysis components
- Project Management, Ability to work in matrix teams, strong communications, influencing, negotiation, and networking skills
- Data Management experience with genetic and genomic data or bioinformatics analysis experience
- English (mandatory)
- Soft skills: Attention to detail, ability to articulate complex topics in simple words, flexibility to work across cultures and time zones, willingness to learn
**Nice to have**:
- Understanding of the pharmaceutical industry.
- Working with global CROs and vendors for data ingestion and acquisition
- Understanding of end-to-end flow
- Patient-Sample-Assay-data in clinical trials
- Experience with LIMS systems, Sample management systems and data management tools
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