Discovery Postdoctoral Fellow Diseases of Aging and
vor 2 Wochen
393882BR
**Discovery Postdoctoral Fellow Diseases of Aging and Regenerative medic**:
Switzerland
**About the role**
- and translational medicine experts.
As a Discovery Postdoctoral Fellow in Translational and Data Science Team, you will have the chance to work with patient samples, large multi-omics datasets and state-of-the-art technologies including scRNAseq, bulkRNAseq, proteomic, metabolomics, imaging and histology. You will work on a cross-functional project with internal and external collaborators (e.g. clinical partners) that aims to define molecular pathologies and disease biomarkers in phenotypically well-characterized symptomatic osteoarthritis (OA) patients that are scheduled for elective total knee arthroplasty.
Discovery Fellows have a unique opportunity to conduct innovative, interdisciplinary research and are expected to publish their results in leading journals. We collaborate across scientific and organizational boundaries, with a focus on powerful new technologies that have the potential to help produce therapeutic breakthroughs for patients. You will join our postdoctoral community for dedicated events, including the monthly postdoctoral seminars and our annual Research Day Symposium. All Fellows participate in our robust curriculum designed to develop scientific and professional skills. The postdoctoral term is up to 4 years.
Preferred start date: as soon as possible (negotiable)
Duration: 36 to 48 months
Location: Novartis Campus, Basel, Switzerland
Key responsibilities
As a Discovery Fellow, you will:
- Investigate the pathophysiology of tissues of the joint using patient samples and cutting-edge technologies
- Investigate and combine pathophysiology datasets with clinical and patient parameters
- Contribute to the potential identification of bio
- Innovate and drive forward-thinking research initiatives.
- Embrace a multidisciplinary and collaborative approach
- Develop and nurture relationships with key collaborators and stakeholders
- Present research findings and insights at internal and external meetings
- Stay updated with the latest research trends and advancements
LI-Onsite
**Commitment to Diversity & Inclusion**:
- We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve._
**Role Requirements**
Role Requirements:
- PhD in cell biology, medical science, computational biology or a related discipline (ideally a combination of wet lab and computational) PhD students in the last year of their thesis work are eligible to apply)
- Strong expertise in mammalian cell culture, in vitro disease models, Immunohistochemistry and molecular biology.
- Proven experience in statistical analysis, integration and interpretation of omics data including single cell, bulkRNAseq, proteomic and clinical parameters in R and/or Python.
- Excellent problem-solving skills and ability to troubleshoot technical issues.
- Strong analytical and data interpretation skills.
- Ability to work independently, and collaboratively in a matrix environment.
- Excellent communication and interpersonal skills.
- Strong publication record or other scientific achievements (i.e. awards, patents, grants)
Desirable requirements:
- Proficiency in next generation sequencing technologies (genomics, single cell spatial Tx),
- Experience in working in a high-performance computing environment.
- Experience in extracting, integrating analyzing and visualizing other biomedical data (genetics, imaging, or RWE)
How to apply
Please submit your CV and cover letter by April 1 for consideration. Please make sure to discuss in the cover letter how this training program will help you fulfill your career goals.
PDX
Why Novartis:
Accessibility and accommodation
Novartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable
**Division**
Biomedical Research
**Business Unit**
Diseases of Aging & Regen Medicine NIBR
**Work Location**
Basel
**Company/Legal Entity**
Novartis Pharma AG
**Functional Area**
Interns/Students on Novartis Payroll
**Job Type**
Full Time
**Employment Type**
Internship
**Shift Work**
No
**Early Talent**
No
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