Postdoc Position in Computational Analysis of Spatially Resolved Transcriptomics Data

Postdoc Position in Computational Analysis of Spatially Resolved Transcriptomics Data

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.

School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH) is one of the five schools of KTH and a strong constellation for research and education in the broader areas of health, environment, energy and materials. The School of Engineering Sciences in Chemistry, Biotechnology and Health conducts research and education in areas that cover several global challenges. Among them are the need of sustainable energy, health and aging population, climate change, sustainable production and working life, food production and clean water.

Science for Life Laboratory (SciLifeLab) is a national center for large-scale life science research with an advanced technological infrastructure. For more information see our homepage https://www.scilifelab.se/

The postdoc will be based at at SciLifeLab.

Job description

The research activity for the postdoc will mainly focus on the study of how cell localization influences tissue spatial gene expression. This work will involve computational analysis of cutting-edge techniques, such Spatial Transcriptomics and single-cell RNA-sequencing.

Within the framework of this project, we will collaborate with researchers around Europe and the USA. Moreover, we will collaborate with medical doctors at the Hvidovre Hospital in Denmark to have access to unique human samples, and interact with expert researchers at Novo Nordisk with the final goal to perform translational studies.

Duties & Responsibilities:

• Bioinformatics analysis for omic projects and mainly responsible for data analysis and software compilations (next generations sequence alignment, expression anlysis, and visualization tools and browsers).
• Data analysis, integration, and interpretation.
• Identify, evaluate, and incorporate relevant algorithms and software pipelines by reviewing pertinent literatures.
• Summarize data analyses results in a comphrehensive form.
• Development, testing, and maintenance of modular software pipelines for sequencing analysis.
• Interact with bench collaborators to guide and propose new experiments.
• Participate and present research outputs in group meetings.

What we offer

• A position at a leading technical university that generates knowledge and skills for a sustainable future
• Engaged and ambitious colleagues along with a creative, international and dynamic working environment
• Works in Stockholm, in close proximity to nature
• Help to relocate and be settled in Sweden and at KTH

Read more about what it is like to work at KTH

Qualifications

Requirements

• A doctoral degree or an equivalent foreign degree (in a relevant subject), obtained within the last three years prior to the application deadline (With some exceptions for special reasons such as periods of sick or parental leave, kindly indicate if such reason exists in your resume).
• Background in genomics/transcriptomics data analysis.
• Experience with image data analysis.
• Good knowledge of the English language, both written and spoken.
• Examples of scripts written by the applicant.
• At least one first author publication in scientific journals or proven capability of writing of scientific articles.

Preferred qualifications

• Knowledge of R, Python, and the Unix (Linux) environment, C/C++ is a plus
• Experience with analysis of genomics/transcriptomics/single-cell transcriptomics/spatial transcriptomics data
• Proficient in high performance computing, and analysis of high throughput data
• Background and work knowledge in and machine learning or statistics
• Experience in manipulating, analyzing, and annotating large genomic data sets.
• Experience with image data analysis is a plus
• Awareness of diversity and equal opportunity issues, with specific focus on gender equality.

Personal abilities

To enjoy and be successful in this role you are an ambitious, driven and collaborative person. You have an ability to work independently. You have an research expertise and teaching abilities.

Great emphasis will be placed on personal competency.

Trade union representatives

You will find contact information to trade union representatives at KTH's webbpage.

Application

Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad.

The application must include:

• CV including relevant professional experience and knowledge.
• Copy of doctoral degree from your previous university studies. Translation into English if the original document is not issued in English.
• Brief account of why you want to conduct research, your academic interests and how they relate to your previous studies and future goals. Max two pages long.
• Examples of scripts written by the applicant.

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

About the employment

The position offered is for, at the most, two years.

A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.

Others

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

For information about processing of personal data in the recruitment process please read here.

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.

Type of employment Temporary position longer than 6 months
Contract type Full time
First day of employment According to agreement
Salary Monthly salary
Number of positions 1
Working hours Heltid, 100%
City Solna
County Stockholms län
Country Sweden
Reference number C-2021-0471
Contact
Stefania Giacomello,, stefania.giacomello@scilifelab.se
Published 29.Mar.2021
Last application date 28.Apr.2021 11:59 PM CET