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Computational Biologist

Pubblicato il 03-10-2026 - Altro in Roma

Role : Computational Biology Expert (PhD)

Pronto/a a candidarsi? La preghiamo di leggere la descrizione almeno una volta prima di fare clic su "Candidati".
Location : Remote (Work from Anywhere)
Role Overview:

We are hiring for one of our clients, seeking a Computational Biology Expert (PhD) to work on a Full-time basis. The role involves developing and implementing computational models to analyze biological data. You will collaborate with cross-functional teams to solve complex problems in data-driven biology.
Key Responsibilities:

Design and develop computational frameworks to process large-scale biological datasets.
Apply machine learning techniques to model biological systems and predict outcomes.
Develop algorithms for genomic, proteomic, or other high-throughput biological data.
Interpret results and communicate findings to stakeholders in a clear, actionable manner.
Stay current with advancements in computational biology, bioinformatics, and related tools.
Required Skills & Qualifications:

PhD in Computational Biology, Bioinformatics,



or related field with relevant research experience.
Proficiency in programming languages such as Python, R, or C++ for data analysis and modeling.
Experience with machine learning frameworks and libraries, including TensorFlow or PyTorch.
Strong background in statistical analysis and experimental design for biological data.
Familiarity with tools like BLAST, Bowtie, or other bioinformatics software suites.
Ability to work independently in a remote setting while meeting project deadlines.
More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the biotechnology research industry, contributing to advancements in drug discovery and personalized medicine. The position provides exposure to cutting-edge computational tools and datasets.
Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior em

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