Single Cell Data Analyst

☞ PharmiWeb.Jobs

Ver: 178

Dia de atualização: 03-04-2024

Localização: Basel Basel-Stadt BS

Categoria: IT - Software

Indústria: Research Services Biotechnology Research Pharmaceutical Manufacturing

Posição: Entry level

Tipo de empregos: Contract

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Conteúdo do emprego

The Life Science Career Network CTC are specialised industry experts who can help companies source the best talent and provide reliable HR and consulting services, support varied candidates in finding promising career opportunities and offer the latest in skill development training programmes

Single Cell Data Analyst

Our client is a pioneer in Drug Discovery and Development and one of the frontrunners in Personalised Healthcare. As the world`s largest R&D spender in the pharmaceutical and diagnostics domain, they work in a vast number of drug discovery & therapeutic areas and are highly recognized internationally.

Ideal candidate is someone with 2 to3 years of relevant hands on experience in single cell data analysis. He/she will have a Master / PhD or Post Doc in bioinformatics, computational biology or data science. Experience with R programming is mandatory. This is a 12 months contract role based in Basel or Zurich.

Main Responsibilities
  • As a single cell data analyst you will be primarily working on single cell genomics datasets (mostly sc-RNA and CITE-seq, maybe sc-ATAC) of tumor and blood specimens obtained from large cohorts of patients and preclinical experiments treated with T cell bispecifics and/or other cancer immunotherapies. You will work closely with other data scientists and bioinformaticians within the organisation.
  • Proposing, implementing, and optimizing state-of-the-art single cell analysis workflows in support of discovery projects
  • Ensuring and facilitating effective generation and communication of data, insight and knowledge within the team.
  • Nurturing reproducible and unbiased data-driven discovery guided by best-practices in the field
Qualifications And Experience
  • Relevant Swiss working/residency permit or Swiss/EU-Citizenship required;
  • Masters Degree, PhD or Post Doc in Bioinformatics, computational biology or data science
  • 2 to 3 years hands of relevant experience
  • Proven experience with standard scRNAseq workflows such as Seurat/Scanpy/OSCA, and with conventional steps involved in analyzing scRNAseq data.
  • Programming language proven experience with R
  • You have a keen interest to follow the relevant literature and explore/implement the most recent developments in the field.
  • You are resourceful and flexible in problem solving and in working in a collaborative environment that gives you full accountability for your own contributions and development.
  • You are able to identify your top deliverables, finalize projects to achieve results whilst assuming personal responsibility for outcomes.
  • Knowledge of Python
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Data limite: 18-05-2024

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