Associate Researcher in Bioinformatics of Cell Reprogramming - Hiring in process/Finished, not possible to apply

Description of the workplace
The Cell Reprogramming in Hematopoiesis and Immunity research group investigates how the fate of hematopoietic cells is determined, maintained, and ultimately altered or reversed. Inspired by the fields of stem cell biology, immunology and cancer, we use an interdisciplinary approach to mechanistically understand the identities of blood and immune cells and translate our findings into novel gene and cell therapies. Our group focuses on cell reprogramming, hematopoiesis and the development of cell and gene immunotherapeutic strategies. The research team is led by Associate Professor Carlos-Filipe Pereira and consists of a heterogeneous group of molecular biologists, MDs, PharmDs, tumor immunologists, stem cell biologists and computational scientists - at all career stages. As a workplace, we offer a positive working environment with respect and consideration in our interactions. Our group is now recruiting a dedicated and ambitious researcher with intensive experience in omics analyses to support ongoing efforts to uncover minimal networks of transcription factors for successful reprogramming into various dendritic cell subsets.

What we offer
Lund University is a public authority, which means that you will have special benefits, generous annual leave and an advantageous occupational pension. We also have a flexible time agreement that creates good conditions for work/life balance. Read more on the University’s website about being a Lund University employee, Work at Lund University

Work duties and areas of responsibility
The successful candidate will work on direct reprogramming of fibroblasts into dendritic cells. The project aims to uncover transcription factor codes underlying dendritic cell diversity using transcription factor barcoding technologies at the single-cell level. The project will focus on testing the hypothesis that the combinatorial action of different transcription factors results in multiple dendritic cell subsets that reflect in vivo specification during development and specialization in tissues. Ultimately, this project will make a pioneering contribution to the application of direct cell reprogramming to understand the biology of heterogeneous cell lineages. This will require a multifaceted approach that includes analysis of transcriptional profiles generated by single-cell RNA-seq, chromatin accessibility by ATAC-seq and mapping of transcription factor binding sites by ChIP sequencing. This also includes the analysis of own data, but also public datasets.

Qualifications
The following is required of applicants to this position:

• A PhD degree in bioinformatics, computational biology or on a related field.
• At least 2 years experience of research after doctoral degree.
• Background in machine learning and statistics.
• Expertise on working in Unix/Linux environments.
• Expertise in single cell RNA-seq data analysis.
• The ability to communicate well with co-workers and to collaborate with other scientists.
• Excellent written and spoken English.

We aim to find a candidate who is highly motivated, ambitious, collaborative, independent and well structured.

Further information
The employment is for a fixed term of two years at full time, to start 2022-08-01 or according to agreement.

How to apply
You apply for the position via the University’s recruitment system. The application is to include a personal letter describing how you meet the qualification requirements and why you are interested in the position. The application is also to include a CV with a list of publications, a general description of previous research work, a copy of your doctoral degree and any other documents to which you wish to draw attention (copies of degree certificates, grade transcripts, details of referees, letters of recommendation, etc.)