27.03.2023Universitätsklinikum Tübingen - Medizinische FakultätTübingenPositions (f/m/d) in the fields of Statistical Genetics (full time), Data Analyst (full time) and Database Management (part time, 65%)The candidate should have experience in conducting genome-wide association studies, and next-generation sequencing analyses such as whole genome sequencing and transcriptomics (single cell and bulk RNA sequencing). It is expected that a candidate will supervise graduate students. This position will require extensive engagement with partners nationally and internationally, thus flexibility and strong interpersonal skills are required to lead a multinational project. In addition, the candidate will lead monthly virtual meetings, prepare minutes, and will also be involved in project management. The previous publication track record in the above-mentioned approaches will be required.
We are looking for a full-time data analyst who will be involved in epidemiological, sociodemographic, and clinical data curation, harmonization, integration, and analysis. In addition, the candidate will be involved in building a clinical glossary from electronic Case Report Forms (eCRFs). The candidate will be responsible for the deployment and maintenance of the data and computing platform. The candidate will work closely with other team members on the design and implementation of statistical, ML/AI analysis workflows and visualization tools.
We are looking for a candidate with experience in handling genome-wide data such as genome-wide association studies and next-generation sequencing data. The candidate should be proficient in handling and managing data on the cloud. The candidate will work with diverse teams across the globe, and hence strong personal skills are required.
The position is initially 65 % and depending upon the performance, it will be converted to full time. The option to work from home is possible.The candidate will lead the ongoing GWAS analyses and will play an important role in analyzing ongoing whole-genome sequencing analysis. The candidate should have expert-level knowledge of R. Advanced knowledge of statistical-genetics approaches and programming languages such as GWAS analyses, copy number variation, Mendelian randomization, and Python is required. The track record in the above-mentioned approaches will be considered an asset during selection.
Additional skills in machine learning, and programming languages such as C++, and Java and database management with MySQL will be an asset, but not mandatory. Knowledge of cloud computing will be an asset. Prior working experience in neurodegenerative disease is not mandatory. The position will provide valuable experience to the candidate and will offer a chance to lead their projects. The position will require communication with research groups around the globe. Strong personal communication skills will be required to coordinate projects with various labs around the globe.
We are seeking a candidate with a doctoral degree in computational biology, bioinformatics, or related fields, with an interest in biomedical informatics and translational medicine. The candidate will have a working to expert-level knowledge of programming languages (Python, R, Java), experience in data curation, structuring, analysis, and visualization, and in-depth familiarity with Python libraries for data engineering (Numpy/Pandas) and data science (SciKit). The track record in the above-mentioned approaches will be considered an asset during selection.
The position requires communication among collaborators and thus excellent communication skills and the ability to articulate clearly the scientific and technical needs and to work within an interdisciplinary setting, communicating with other internal/external partners is a must. Prior experience dealing with clinical, molecular (genomics, and proteomics), and data processing, integration, and knowledge of Parkinson's disease research is considered an advantage.
We are seeking a candidate with a doctoral degree in computational biology, bioinformatics, or machine learning/artificial intelligence. The candidate will have a working to expert-level knowledge of programming languages (Python, R, Java), experience in data curation, and the ability to work in a cloud environment. Strong personal communication skills will be required to coordinate projects with various labs around the globe.