You conduct independent and collaborative research, focusing on the analysis of human genetics and omics data while applying advanced statistical methods to uncover insights related to diseases.
Anforderungen
- •PhD in Genetics or related field
- •Excellent computational analysis skills
- •Excellent programming skills in R/Python
- •Experience with machine learning methods is a plus
- •Experience in Immunology is a plus
- •Strong publication record or achievements
- •Excellent analytical and communication skills
- •Passion for exploratory research
Deine Aufgaben
- •Work independently and with interdisciplinary teams.
- •Analyze and integrate human genetics with omics data.
- •Use statistical and machine learning methods to identify disease variants.
- •Analyze omics datasets to support ML-generated hypotheses.
- •Collaborate with wet lab scientists to validate findings.
Original Beschreibung
# Innovation Postdoc Fellow in IMM DS
**Basel (City)** | **Full time**
**Band**
No Grade
**Job Description Summary**
We are thrilled to seek applications for our Data Science Innovation Fellowship track of the Novartis Postdoctoral Fellowship Program.
**Job Description**
This applied research program is designed to change the way we approach drug discovery, offering fellows a unique chance to train in Data Science and AI for biomedical research. As a fellow, you will learn to apply your quantitative and computational skills to make a difference for patients and reimagine medicine at Novartis.
As part of the **Data Science Innovation Fellowship** track of the Novartis Postdoctoral Fellowship Program, you will join our vibrant, dedicated postdoctoral community for events, including the monthly postdoc seminars and other scheduled events for postdocs. Fellows are surrounded by a supportive, collaborative community of postdocs and scientists, who would contribute to the acceleration of your scientific growth, along with building your professional skillset, e.g. you will have the opportunity to do a Postdoc Practicum in another laboratory or in a business function of Novartis. This applied research program is up to 2 years in length, with the option of applying for an extension of up to 1 year.
Drug hunting is a team sport, and you will gain experience in Data Science & AI for drug discovery as part of a multi-disciplinary team in Biomedical Research. You will drive innovation by deploying cutting-edge data approaches in collaboration with a vibrant and diverse community of over 300 data scientists globally. The program provides a unique platform to work on real-world, biomedical data at scale, rarely accessible in academia. Seize this chance to be at the forefront of Data Science and AI, and shape the future of drug discovery!
This project aims to perform human genetics-driven target discovery for immunological diseases. The successful candidate will establish a pipeline of statistical and machine learning models to identify causal variants, map them to likely target genes, and describe potential underlying mechanisms. We will apply this pipeline to immune system-driven diseases to formulate clear hypotheses on novel drug targets and test them experimentally.
Through the Novartis Postdoctoral Fellowship Program, you will build your competency as a drug hunter, and as a scientific leader in the field. You will join a professional network that will support your growth as a research scientist, and you will have the opportunity to tackle disease and make an impact, by reimagining medicine together.
Start date: September 1st 2025
Location: Campus Basel, Switzerland
**Key responsibilities**
As a Data Science Innovation Postdoctoral Fellow, you will:
* Work independently as well as within interdisciplinary teams to drive your project
* Analysis, integration, and visualization of human genetics with complementary omics data
* Apply statistical and machine/deep learning methods to identify disease associated variants, their target genes and regulatory mechanism
* Analyze omics datasets to formulate and/or support hypotheses generated by ML models
* Effectively collaborate with wet lab scientists to validate in silico findings
**Role requirements**:
* PhD in Genetics, Computational Biology or a related field (Note that PhD students in the last year of their thesis work are eligible to apply. Applicants are only eligible to apply up to 2 years from the date of receiving their PhD, i.e. PhD degrees must have been awarded May 2023 or later).
* Excellent skills in computational and statistical analysis of genetics and omics data (GWAS, QTLS, transcriptomics and chromatin omics)
* Excellent skills in programming, data visualization and reproducible research in R/Bioconductor and/or Python
* Experience with machine/deep learning methods is considered a plus
* Experience in Immunology is considered a plus
* Strong publication record or other scientific achievements (i.e. awards, patents, grants)
* Excellent analytical, communication, presentation and organizational skills
* Passion for fundamental exploratory research and boundless curiosity
# DSIF