Postdoctoral Researcher in Multivariate Models for Spatial Genomics

Postdoctoral Researcher in Multivariate Models for Spatial Genomics

Uppsala University

Uppsala, Sweden

The Vickovic Lab at Uppsala University is seeking a dynamic, self-motivated, team-oriented Postdoctoral researcher to expand computational efforts in understanding disease mechanisms through integration of fluorescence imaging and sequencing data to build multivariate spatial models. We are interested in developing integrative multi-modal data analysis tools incorporating multi-modal spatially resolved omics. The successful candidate will have the unique opportunity to work at the intersection of mathematical modeling, computer vision, omics data analysis, workflow optimization, and resource building. The postdoctoral researcher can also propose and pursue their own ideas that fit the general research program of the lab.

Duties

• Develop new computational, machine learning, and statistical analysis methods for integrating and analyzing large-scale, spatially resolved RNA-seq and genotypic data using current state of the art technologies;
• Develop data analysis strategies, write algorithms, and deploy computational tools for the exploration of very large data sets;
• Develop a resource for the community that gives access to collected data;
• Work closely with experimental colleagues and cores to understand the nature of generated data;
• Actively participate in the preparation of manuscripts for publication and present at scientific conferences;
• Assist in peer- and student-mentorship;
• Share expertise and provide training and guidance to group members as needed.

Requirements

• PhD degree in computational biology, statistics, applied mathematics, computer science, or related discipline required or a foreign degree equivalent to a PhD degree in the same. The degree needs to be obtained by the time of the decision of employment. Priority will be given to applicants who have completed their degree no more than three years before the deadline for applications. Due to special circumstances, the degree may have been obtained earlier. The three-year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc.;
• Prior experience with Bayesian inference, graph models, multi-variate models, and image analysis are preferred, but exceptionally creative and driven scientists with an interest and adaptability will be seriously considered;
• Strong oral and written communication, data documentation, and presentation skills required;
• Experience writing scientific articles for publication required;
• Ability to handle multiple projects at the same time required;
• Excellent collaborative and interpersonal skills, and willingness to work in a fast-paced team environment required.

Additional qualifications

• Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations and delivers on commitments;
• Collaborative & Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so;
• Adaptable & Innovative: Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity.