We are offering a unique opportunity to join our team in the Roche Innovation Center Basel.
The Lead Discovery (LD) department in Pharma Research and Early Development initiates and supports Small Molecule Research projects by identifying chemical starting points and by providing key data and insights for their successful optimization in Medicinal Chemistry. We are a tightly knit community of many and diverse talents, closely collaborating with our therapeutic areas and other functions.
We are seeking a committed and seasoned data scientist to strengthen our capabilities in Small Molecule Research.
In this role:
- You are accountable for tailoring assay development through experimental design, quality control and data analysis methods
- You will provide expertise on workflows for the visualization and analysis of the Roche small molecule compound collection, enabling its optimal use and improvement, as part of a cross-functional team.
- You will compile, annotate, analyze, visualize and interpret complex data sets by developing and applying state-of-the-art data analysis methods in partnership with a diverse community of scientists
- Together with therapeutic project teams, you will utilize your expertise to frame key scientific questions, uncover trends in the team’s data sets, and thus enable rational decision making
- You will build and automate workflows for data capturing, registration and data analysis
- You will conduct continuing research in new areas of computational approaches relevant to drug discovery, both within Roche and in collaboration with industrial or academic partners
- You will contribute to the overall computational science strategy and play an active part in its implementation, especially connecting workflows and data analysis needs.
What else are we offering?
We are dedicated to supporting our staff in the development of their knowledge and skills and offer further career opportunities where people demonstrate talent and aptitude.
Who are we looking for?
We are looking for a professional with a PhD in a field such as data science, cheminformatics, computational chemistry, bioinformatics, computer science, or a related life science discipline. You have more than 5 years of experience in the pharmaceutical industry with a solid overall understanding of the drug discovery process. In addition, you bring:
- A sound understanding of medicinal chemistry principles, disease biology and assay technologies
- Excellent knowledge and practical experience with data science approaches and statistical analysis
- Programming skills (e.g. the Python toolkit including pandas, matplotlib, seaborn/plotly, Jupyter notebook) and familiarity with pipelining tools (Pipeline Pilot) and good software engineering practices
- Strong expertise in handling large scale data
- Experience generating data visualizations in tools such as Spotfire, Vortex or Tableau
- Experience in designing high content assays based on image data analysis is a plus
- A track record of scientific publications in peer-reviewed journals
- Excellent written and verbal communication skills
- Interpersonal skills to effectively influence and lead activities in a matrix environment where experts in many fields jointly drive projects forward. An understanding of what motivates others to perform at their best, clearly convey objectives and develop people through constructive feedback and encouragement
Are you ready to apply?
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