Msc Fellowship
4 semanas atrás
**REF**:SinTra_MSc_August2023
**AREA**:Bioinformatics
**AVAILABLE VACANCIES**:1
**Why iBET?**:
iBET is a private, non-profit biotechnology R&D institute working at the interface between academia and industry.
Our mission is to provide biotechnology solutions, globally. Working at iBET is to be driven by ambition, commitment, integrity, and a sense of innovation to search for knowledge, creating value to our partners and stakeholders.
Our core areas are Biopharma and Food&Health. We develop processes and platforms for advanced gene and cell therapies, vaccines, and clinically relevant proteins, from R&D to Analytics and Tech-Transfer to GMP. We also explore innovative solutions to detect food fraud, water and food contaminations, and the identification of new bioactive food supplements.
We offer state-of-the-art R&D infrastructure for cellular bioengineering and biology research, including flow cytometry, cell sorting and microscopy, in addition to a Mass Spectrometry Unit and a Late-Stage R&D and Bioproduction Unit. With our new building, iBET Biofarma, we are expanding our research infrastructure with 30 new labs, including one BSL3, which will accommodate up to 100 new researchers.
**Admission Requirements**:
**Education**: MSc in Molecular Biology, Biochemistry, Bioinformatics, or related fields
**Essential skills and experience**:
- At least, 1 year experience with transcriptomics (RNA-seq) data analysis, including differential gene
expression and pathway/gene set enrichment analysis
- Hands-on experience in programming environments like Bash, R, or Python
- Strong critical and analytical thinking, with ability to breakdown and tackle complex challenges
independently and with minor guidance
- Solid interpersonal and communication skills and ability to work in a team
- Fluency in English (written and spoken)
**Desirable skills and experience**:
- Previous experience with single-cell RNA-seq data analysis will be highly valued
- Hands-on experience with animal cell culture and omics data analysis of cancer cell models or human cell production platforms for gene therapy vectors will be highly valued
- Experience in functional analysis of metabolomics or proteomics data, in addition to transcriptomics,
will also be valued
**Work Plan**:
**Activities will include**:
- Data analysis and biological interpretation of single-cell and bulk RNA-seq data sets
- Understand and use computational environments required for RNA-seq data analysis
- Provide advice and guidance in transcriptomics data analysis to iBET students
- Work closely with scientists from different Labs, backgrounds and expertise within iBET
- Communicate resulting work in scientific presentations and manuscripts
**Fellowship Duration**:
The fellowship will have a duration of 12 months, eventually renewed until the end of project, without prejudice of the maximum limits foreseen by law. The expected starting date is 11th of September of 2023.
**Selection Criteria**:
**Phase 1**: evaluation of CV merits, motivation, and experience regarding essential requirements in this
announcement (80%);
**Applicants who do not meet the above admission requirements will not be eligible.**
**Timing and Application Format**:
Applications will be accepted from 28th of August until 6th of September 2023.
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