VACANCY: Data Scientist in Biomarker Discovery

About Scailyte: 

Scailyte is a globally recognized spin-off from ETH Zürich and pioneer in the field of single-cell data analysis (Nature Spinoff Award, Forbes Top30 in AI, Masschallenge winner, Swiss Top100 Startups). Scailyte’s mission is to discover and develop biomarkers for precision medicine using single-cell data and Artificial Intelligence. Our pioneering technology integrates multimodal single-cell and clinical data to identify novel disease signatures. We are providing innovative solutions for rapid discovery of ultra-sensitive biomarkers for customers in pharma, biotech and clinical research. We are a multidisciplinary multinational team of highly skilled and enthusiastic professionals, offering an inspiring and open-minded environment for career growth. Check out our company video and what our employees say about working at Scailyte: Scailyte Youtube channel

About the role:

We are expanding our biomarker discovery services offering and strategic partnerships, while at the same time building out our capacity to integrate new data types into our discovery platform. We are looking for a polyvalent data scientist to work at the interface between data analysis and pipeline development, eager to grow and learn in a dynamic professional environment, and driven by both scientific curiosity and a desire to ultimately improve patients’ lives by delivering high-quality results.

Key responsibilities:

• Pre-process, analyze and gain actionable insights from single-cell datasets using our in-house developed single-cell AI pipelines.
• Support both Scailyte’s clients and internal biomedical project managers by understanding their analytical needs and sharing your findings.
• Contribute to continuous development and improvement of our pipelines, ensuring a high standard of reproducibility and interpretability of results.
• Contribute to the development of innovative algorithms for integrating single-cell data with other data types, such as imaging, clinical or lifestyle data, and other multi-omics technologies.
• Support business development team in presenting Scailyte’s capabilities to clients and preparing project proposals.

Required qualifications: 

• PhD degree or MSc/BSc degree with at least 5 years of experience in a biological or quantitative field (e.g. biology, biomedical sciences, bioinformatics, physics, mathematics)
• Experience in analyzing high throughput biological datasets, preferably working with single-cell data (e.g. NGS, RNA-seq or CyTOF)
• Solid knowledge of at least one programming language (e.g. Python or R)
• Experience working with version control (e.g. git)
• Familiarity with common machine learning techniques – experience with neural networks would be a plus
• Familiarity with the UNIX shell and cloud computing
• The ability to work in an interdisciplinary/cross-functional environment (e.g. matrix organisation)
• Excellent written and spoken English

Only candidates with a valid Swiss work permit (or EU/ Swiss citizens) will be considered.

What we offer:

• An exciting opportunity to contribute to the growth of a leading startup in the single-cell and precision medicine space, and to work on cutting-edge research projects
• Work in a collaborative, multi-disciplinary, and international team at the interface of biomedical sciences, data science and medicine
• Pleasant working environment with great facilities at our office on the Novartis Campus in Basel
• Permanent employment contract and competitive compensation package including participation in the company’s stock option plan

Application:

Please send your application, including your cover letter and your CV (in English) to careers@scailyte.com.

Call for applications open until May 31st, 2022