Scientific Programmer/(Senior) Sequence Data Analyst m/f at Leiden University Medical Center
As a scientific programmer/(senior) data analyst you will conduct biomedical and clinical research in the Leiden Genome Technology Center (LGTC) through the analysis and interpretation of Next Generation Sequencing (NGS) data. You will develop and apply various analysis pipelines on large genome, exome and transcriptome data sets produced using advanced NGS technologies. You will contribute to the analysis and interpretation of data generated by novel single molecule and single cell NGS technologies such as the Pacific Biosciences Sequel platform and the 10x Genomics Chromium. Such projects can vary from characterizing full-length mRNA sequences to de novo characterization of fully phased variants in disease genes or de novo assembly and characterization of complex genomes or genomic regions. Other responsibilities include the integration of various omics datasets, such as exome-, transcriptome and chromatin immunoprecipitation sequencing data. This position will require and promote close collaboration with scientists from various fields.
Working at the LUMC
The LUMC is a center for medical innovation that aims to improve patient care through leading international research. So as to also provide our patients with a safe and friendly environment, we need doctors, medical care specialists, support staff and academic researchers. You will work within the department of Human Genetics, which is a broadly oriented research department with focus on the (epi)genomic contribution to inherited and acquired diseases. The Department consists of twenty self-contained research groups that perform research in 4 different themes. The research focus of the LGTC is to utilize NGS-based technologies to better understand the underlying mechanisms of diseases (such as muscular dystrophies, migraine, metabolic syndromes and cancer) and to improve healthcare. Automated processing and integration of highly dimensional sequence-based data sets is currently the biggest challenge. Thus, you will be working together with a number of specialized teams within the LUMC and will contribute to the support services offered by the LUMC Technology Focus Areas of Bioinformatics and Biostatistics. Furthermore, you will be working together with national and international, multidisciplinary teams of medical doctors, laboratory- and ICT specialists.
You have a Master's degree (or higher) in Computer Science with good knowledge of statistics and basic knowledge of molecular biology. Alternatively, you are a bioinformatician with at least two years of experience in the field. If you do not hold a Master’s degree but do feel that your profile and experience fit the requirements of this position, we advise you to send us your application for consideration. You have ample experience with programming languages like R and Python. Additionally, knowledge of command line scripting languages is desirable. You work in a structured way, using version control systems (like Git). You are flexible and communicative, are able to multitask and enjoy working in a multidisciplinary team. Your English is fluent (both in writing as in oral skills).
You will be employed on the basis of a 36- hour week. Appointment is initially for 1 year..The salary will depend on your qualifications and experience, with a maximum of € 3.837 gross per month based on a full time position (scale 9 of the Collective Labor Agreement for University Hospitals).
The terms of employment offered by the LUMC are highly favorable. For example, you will receive 8% holiday remuneration, a year-end bonus, and a pension arrangement with the National Civil Pension Fund. Also, as employee of one of the University Hospitals in the Netherlands, you can benefit from our collective health insurance policy.
Moreover, the LUMC offers excellent facilities in the area of education, child-care centers, and career advice. In addition, you may enjoy various leave arrangements and other extras. You can read more about these facilities elsewhere on this site.
If you have any questions, or if you want more information about this position, please contact Ms. Kloet, head of department, Human Genetics/ LGTC, telephone +31 (0)71 526 94 41. You may also contact Mr. S.Y. Anvar, senior researcher, Human Genetics/LGTC, telephone +31 (0) 71 526 85 59.
For this application procedure references can be requested.