Remote Computational Biologist (PhD) – ML & Genomics

Hired; United Arab Emirates; Remote; AED 260,000 - 420,000; Full time

Job summary

Hired is seeking a Computational Biology Expert (PhD) to work remotely on a full-time basis. The role involves developing and implementing computational models to analyze biological data, collaborating with cross-functional teams to solve data-driven biology problems.

Design scalable computational workflows, apply ML techniques, and interpret results for stakeholders, contributing to drug discovery and personalized medicine in a global, remote team.

Qualifications

• PhD in Computational Biology, Bioinformatics, or related field with relevant research experience.
• Proficiency in Python, R, or C++ for data analysis and modeling.
• Experience with ML frameworks (TensorFlow/PyTorch).
• Strong background in statistical analysis and experimental design for biological data.
• Familiarity with bioinformatics tools such as BLAST and Bowtie.

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 clearly.
• Stay current with advancements in computational biology and related tools.

Skills

Python

R

C++

TensorFlow

PyTorch

Statistics

Experimental design

Education

PhD in Computational Biology, Bioinformatics, or related field

Tools

BLAST

Bowtie

Job description

Hired is seeking a Computational Biology Expert (PhD) to work remotely on a full-time basis. The role involves developing and implementing computational models to analyze biological data, collaborating with cross-functional teams to solve data-driven biology problems.

Design scalable computational workflows, apply ML techniques, and interpret results for stakeholders, contributing to drug discovery and personalized medicine in a global, remote team.