11.12.2023Berlin Institute of Health at CharitéBerlinPhD Student (WiMi - Doktorand*In) in Computational Biology / Data Science (f/m/d)The successful applicant will work closely with an international, interdisciplinary, and highly collaborative group, including clinicians, biologists and computational biologists across the BIH/Charité community and with members of the Monarch Initiative, an international (US, UK, Germany) collaboration for translational ontology ( https://monarchinitiative.org/ ), providing a range of opportunities to learn new skills. The ideal candidate has a Master degree in computer science, bioinformatics, or a related area, as well as interest and possibly some experience in the analysis of biomedical data. We expect the candidate to participate in collaborations, which means concretely participating in virtual conferences and co-developing code using GitHub. Graduate students (Doktorand*innen) in the lab will be trained in the development and publication of novel algorithms, software engineering approaches including version control and unit testing, and implementation of robust, high-quality software. The general responsibilities will include, but are not limited to, the following activities:
Development of algorithms or software pipelines to address problems and challenges in translational bioinformatics (topics will be similar to those in existing publications on the Robinson lab homepage, but will be determined collaboratively to address current needs and opportunities).
Appropriate software engineering measures (software testing, documentation, integration with existing tools and APIs).
Participation in preparation of manuscripts and scientific presentations.
Document progress, communicate and present analyses to group, institute members and collaborators verbally and in writing.
Work with members of the group and collaborators as well as independently with respect to experimental design, data analysis, visualization, and interpretation.We are looking for a motivated computer scientist/computational biologist who is well organized, creative, and excited by new challenges. Excellent communications skills and a working knowledge of English are essential (lab and institute language is English). The ideal candidate will have the following qualifications:
Master degree or equivalent in a quantitative discipline (e.g. computational biology, computer science, statistics, bioinformatics).
Experience in software development
Strong self-motivation and organizational skills
Scientific curiosity, analytical thinking, and interest in contributing to projects.
Keen interest in learning new skills, research techniques, data processing and analysis/interpretation of results.
Ability to work in a team of young scientists, to be flexible, and flourish in a fast-paced environment.
Strong communication and interpersonal skills, ability to work collaborate effectively with expert individuals of different backgrounds in a multidisciplinary team.
Please send applications as a single PDF file, including a cover letter (max. 2 pages) indicating past, current, and future research interests, potential starting date, a curriculum vitae, publication list, names and contact information of up to three references. We are looking forward to hearing from you!