Senior Computational Biologist
1 month ago
We are seeking a highly skilled Senior Computational Biologist to join our team at Hyper Recruitment Solutions Ltd. The successful candidate will be responsible for driving the strategic evaluation and prioritisation of therapeutic targets in neurology and oncology.
The ideal candidate will have a strong background in computational biology, with experience in integrating and analysing functional genomic data for target validation and prioritisation. They will also have a proven track record of collaborating with computational biology and software engineering teams to develop and optimise pipelines for integrating multimodal data.
To be successful in this role, the candidate will need to have a PhD in a life sciences discipline, such as computational biology, chemistry, biochemistry, or biology, with a strong computational element. They will also need to have relevant industry experience in computational drug discovery in biotech, pharma, or an academic drug discovery unit.
The successful candidate will be responsible for guiding the development and optimisation of pipelines for integrating multimodal data, and will work closely with the computational biology and software engineering teams to ensure that proof-of-concept solutions are effectively transitioned into robust, well-documented, and scalable solutions.
We are looking for a highly motivated and experienced individual who is passionate about computational biology and has a strong desire to contribute to the development of new treatments for complex diseases.
Key Responsibilities:
- Drive the strategic evaluation and prioritisation of therapeutic targets in neurology and oncology
- Integrate and analyse functional genomic data for target validation and prioritisation
- Collaborate with computational biology and software engineering teams to develop and optimise pipelines for integrating multimodal data
- Guide the development and optimisation of pipelines for integrating multimodal data
Requirements:
- PhD in a life sciences discipline, such as computational biology, chemistry, biochemistry, or biology, with a strong computational element
- Relevant industry experience in computational drug discovery in biotech, pharma, or an academic drug discovery unit
- Strong background in computational biology, with experience in integrating and analysing functional genomic data for target validation and prioritisation
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