Allcyte, a seed-phase biotechnology startup of the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences located in Vienna, Austria, is working at the forefront of functional drug profiling. Leveraging our Pharmacoscopy® high-content imaging platform, we develop in vitro diagnostic tests for personalized cancer therapy, as well as streamline drug development in oncology and immunology/immuno- oncology.
We are looking for a highly motivated computational research associate to take responsibility for the analysis of Pharmacoscopy imaging functional data, genetics, and other data-sets with the aim to gain a systems-level understanding of drug effect in cancer and immunity. Pharmacoscopy is an automated microscopy platform that is uniquely compatible with primary patient samples, and can measure both direct drug effects as well as immunomodulatory properties of drugs with single cell resolution. The work has been directly translatable at the academic level through an existing clinical trial (NCT03096821) for the prediction of clinical drug response in hematological cancers, and is outlined in various articles (Vladimer et al Nature Chemical Biology 2017 (summarized by Derek Lowe’s ‘In The Pipeline’), Snijder et al in review at Lancet Hematology, as well as others).
The candidate should have excellent analytical skills, a strong interest in big data medicine, and a degree (MS/PhD) either in computational science/engineering or biology. The candidate will be required to adapt and expertly use existing bioinformatics tools, as well as develop data analysis protocols/pipelines for large image- based drug profiling campaigns and their integration with diverse –omics datasets. Strong statistical and script programming skills/experience (e.g. R - bioconductor, python, MATLAB), good command of the English language, and good interpersonal skills are a must. Experiences in artificial intelligence, computational image analysis, and advanced data visualization techniques are a bonus. The candidate will work closely with a software engineer.
Allcyte’s high-content screening technology is changing the way that drugs and other soluble factors are functionally assayed through the robust quantification of visible phenotypes, all at the single cell level. The technology has gained traction in generating functionally significant and clinically relevant data for the stratification of treatments for patients with hematological malignancies, and the assessment of pre-clinical and clinical entities for their action on the immune system.
The successful applicant will join a highly dynamic and interdisciplinary team at Allcyte in Q4 2017. He or she will have the unique opportunity to grow with the company both professionally and scientifically, including receiving milestone based incentives that are in line with company milestone and goals, while working to pioneer innovative therapeutic and diagnostic initiatives in cancer and immunity. Vienna is a budding biotechnology hub in the heart of Europe and was voted the city with the highest quality of life in the world by Mercer for eight consecutive years.
The candidate will be responsible for the following:
• Analyze and integrate patient-related high content imaging and sequencing data
• Custom analysis of individual experiments, but also software development for routine use
• The work will have a cloud computing and potentially a machine learning dimension
The candidate should have the following Skills / qualities we are looking for:
• Experience in bioinformatics, statistics, machine learning, or mathematics
• Strong statistical programming skills are a must
• Dynamic, fast learning, analytical
• Highly motivated team player capable of independently driving a project
• Experience in computational image analysis, machine learning, advanced data analysis or database programming is beneficial