Postdoctoral Computational Biologist: We are seeking a Postdoctoral Computational Biologist/Research Associate to join a multi-disciplinary team studying epithelial cell fate reprogramming and plasticity during aging. The goal is to identify potential targets for reducing/reversing age-related complications. This position, based in the lab of Dr. Maria P. Alcolea at the Wellcome MRC Cambridge Stem Cell Institute (CSCI), is a collaborative effort with Prof. Steffen Rulands at Ludwig-Maximilians University of Munich. The role involves analyzing multi-omics datasets, including single-cell RNA sequencing, applying computational methods and advanced data science techniques.
Summary Table:
- Designation: Postdoctoral Computational Biologist/Research Associate
- Research Area: Epithelial cell fate reprogramming and plasticity during aging
- Location: Wellcome MRC Cambridge Stem Cell Institute, Cambridge, UK
- Eligibility/Qualification: PhD in applied mathematics, computer science, genetics, or molecular biology (or close to completion)
- Job Description: Analyzing multi-omics datasets, applying computational methods, collaborating with experimental scientists, and contributing to research on age-related complications.
- How to Apply: Register an account on the recruitment system and apply online by submitting a CV and covering letter.
- Last Date for Apply: 13th August 2023
Designation: Postdoctoral Computational Biologist/Research Associate
Research Area: Epithelial cell fate reprogramming and plasticity during aging
Location: Wellcome MRC Cambridge Stem Cell Institute, Cambridge, UK
Eligibility/Qualification:
- Completed or close to completion of a PhD in applied mathematics, computer science, genetics, or molecular biology
- Strong background and enthusiasm for computational biology
- Interest in biological/disease processes and data-driven science
- Highly motivated and capable of independent work and collaboration
Job Description:
Postdoctoral Computational Biologist/Research Associate (Alcolea lab)
- Analyze existing and new multi-omics datasets, including single-cell RNA sequencing
- Apply computational methods and advanced data science techniques
- Develop quantitative skills and establish collaborative projects with experimental scientists
- Contribute to research on identifying targets for reducing/reversing age-related complications
- Work as part of a multi-disciplinary team
How to Apply:
Interested candidates should click the ‘Apply’ button below to register an account on the recruitment system (if not already done) and submit their application online. The application should include a covering letter and a CV. The covering letter should outline the candidate’s fit for the role and reasons for applying.
Last Date for Apply: 13th August 2023
Note: Please quote reference PS37646 in your application and any correspondence. The interview date is to be confirmed. The University actively supports equality, diversity, and inclusion and encourages applications from all sections of society. All employees must be eligible to live and work in the UK.
For informal enquiries, please contact Dr. Maria Alcolea at mpa28@cam.ac.uk.
