NGS Data Analyst for Precision Medicine
Alacris Theranostics GmbH (www.alacris.de) is a dynamic and highly innovative company with the goal of empowering precision medicine through innovative solutions. Our strong R&D business program focused on molecular analysis and modelling of cancer for predicting therapeutic responses, harnesses the combined power of NGS, advanced bioinformatics and systems biology. With a strong collaborative ethos, we work together with clinics, IT leaders and pharmaceutical industries on a broad range of research and commercial projects to ensure translation of our innovations into applications.
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We are looking for an experienced bioinformatician or computational biologist with a strong track record in NGS analysis and integration of high dimensional omics data. The successful candidate will be responsible for the processing and interpretation of NGS data (RNA-Seq, WES and WGS) from tumor samples. Statistical and programming skills (Python and R) and a sound understanding of molecular biology is essential. Expertise with high dimensional data analysis and cancer genomics is a plus. The successful candidate will be highly motivated, team-oriented and have excellent communication skills.
You will join a dedicated team of bioinformaticians, biologists and software engineers who develop Alacris‘ unique Comprehensive Molecular Tumor Analysis (CMTA) and ModCell TM pipeline, aimed at personalising treatment options for cancer patients.
We offer a rewarding and challenging position as part of an innovative company located within the vibrant city of Berlin. The successful candidate can expect a competitive salary and a stimulating working environment. Starting immediately, the appointment will be made initially for two years, with the possibility of extension.
How to Apply? Interested candidates should send a CV, publication list, details of previous research experience and contact details of three referees (who are directly acquainted with your research and work experience), to email@example.com as a single PDF file, citing reference ALA-NGS-012019.
The closing date for applications is February 28, 2019.