Job Description

About the Lab

The Lappalainen lab studies functional genetic variation in the human populations by analyzing how genetic variants affect molecular and cellular traits, and how these cellular changes contribute to genetic risk for both common and rare diseases and traits. We analyze these questions both by computational genetics analysis of large multi-omic data sets from cells and tissues, and by experimental approaches based on CRISPR perturbations and single-cell sequencing. Our lab includes experts across the field of systems genetics, from statistical genetics and genomics to molecular genomics, and we work closely with our team in Stockholm, Sweden, as well as other collaborators locally and internationally.

About the Position

We are looking for a postdoctoral scientist eager to understand the impact of human genetic variation on gene expression and phenotypes at the cellular, tissue and physiological levels. The specific project would be tailored according to the interests and expertise of the postdoc, but possible projects include developmental GTEx, regulatory variant mapping and characterization large single-cell data from T cells, analysis of transcription factors as drivers of genetic associations and regulatory networks, and integration of population genetics and CRISPR perturbation data. In addition, we envision that the postdoctoral scientist will play a major role in developing new projects in a supportive team science environment. While this position is primarily for computational work, close collaboration with experimental scientists is encouraged. There are possibilities for co-mentorship with collaborating PIs at NY Genome Center and beyond.

To be considered for this role, please provide: 1) CV with a list of publications; 2) a short summary of your present and future research interests; 3) a list of three references and their contact information with your application.

Requirements & Qualifications

The ideal candidate will hold a PhD or MD-PhD and have prior research experience in functional genomics, statistical genetics, and/or computational biology and will have prior peer-reviewed publications. The candidate will be expected to plan and carry out research tasks independently and present findings on a regular basis.

Competencies

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.