Job ID: 84902

Bioinformatics junior non-tenure-track faculty position at Yale University School of Medicine

Position: Associate Research Scientist

Deadline: 31 August 2022

City: New Haven

Country: United States

Institution: Yale University School of Medicine




The Program in Neurodevelopment and Regeneration at Yale University School of Medicine ( seeks a bioinformatician to conduct data analyses for genomic, transcriptomic and proteomic data generated by the lab. This is a non-tenure track junior faculty position associated with the Vaccarino laboratory ( with possibilities for internal promotion and advancement.

The applicant will work as part of the team to develop and implement existing bioinformatic pipelines including sequencing data analyses and functional genomics such as RNAseq, Chip-seq, ATAC-seq, single cell RNAseq, perform integrative multi-omics analyses and deliver analytical outputs in an accessible manner (figures, charts, segments of manuscripts and progress reports).

The candidate will be also required to develop and improve existing pipelines using new computational methods and to accommodate new experimental protocols. The laboratory offers a highly interdisciplinary environment focused on the study of human genomics, human tissues and in vitro models including iPSC and brain organoids. The applicant will be associated within the Vaccarino Lab, but participate in regular monthly meetings of the Program in Neurodevelopment and Regeneration, where other bioinformatic experts within our collaborative group regularly discuss data analyses and the newest software implementations, providing opportunity for skill development. Authorship in papers will be offered as appropriate, depending upon contribution to the overall project.



MS or PhD in Bioinformatics, Computational biology, Data Science, Statistics or related field. However, the position is also open to candidates in other fields with equivalent experience in bioinformatics and data analysis.

Experience in diverse high throughput sequencing data analysis

Programming skills (R, Python and Linux shell scripting) and experience working with high performance computing (HPC, slurm)

Ability to work independently and synergistically within a research team

Strong interest to acquire biological knowledge and work with neurodevelopmental scientists

Ability to present results to diverse audiences, including data visualization and figure design skills



Critical thinking skills and familiarity with statistical modeling for study design and downstream analysis (e.g. power analysis, machine learning)

Experience in developing reproducible workflows for sequencing data

Previous experience with single-cell RNA-seq, multi-omics integration or biological network would be considered a plus

Ability to multitask and work to tight timelines


To apply:

  • Complete the online application procedure and include a detailed CV, a letter describing your interests, and contact details for referees.
  • If you have any questions about the job, please contact or
  • Available for on-site interviews at the 2022 FENS Forum on July 10-13.