Data Scientist | Cambridge | Biotech (Drug Discovery)
Posted 06/09/2024 by SoCode Limited
Data Scientist | Cambridge | Biotech (Drug Discovery)
We are driven by the mission to develop novel, targeted therapies for cancers with significant unmet needs, using cutting-edge computational methods and next-generation cancer models. Join us and be part of a team that is revolutionizing drug discovery.
Key Responsibilities:
We are driven by the mission to develop novel, targeted therapies for cancers with significant unmet needs, using cutting-edge computational methods and next-generation cancer models. Join us and be part of a team that is revolutionizing drug discovery.
Key Responsibilities:
- Collaborate with cross-functional teams including biologists, chemists, and computational scientists to drive oncology drug discovery through data-driven insights.
- Apply advanced statistical, machine learning, and computational techniques to analyze large-scale multi-omics, genomic, and clinical datasets, accelerating the identification of novel cancer targets and biomarkers.
- Develop and optimize predictive models to identify therapeutic response patterns and enhance patient stratification for cancer clinical trials.
- Build and implement scalable data pipelines and workflows for high-throughput drug screening and mechanistic studies.
- Integrate internal and external datasets to generate actionable insights into cancer biology, drug mechanisms, and disease progression.
- Present findings and data-driven insights to stakeholders, influencing drug development strategies.
- Stay at the forefront of advancements in data science, machine learning, and computational biology to continuously bring innovation to the team.
- PhD, MSc, or equivalent experience in data science, bioinformatics, computational biology, or a related field.
- Proven experience applying data science and machine learning to biological or clinical datasets, ideally within oncology or drug discovery.
- Proficiency in programming languages such as Python, R, and experience with data analysis libraries (e.g., batch, TensorFlow).
- Strong understanding of statistical modeling, machine learning algorithms, and multi-omics data analysis (e.g., genomics, transcriptomics, proteomics).
- Experience working with large-scale biological databases and integrating multi-modal datasets.
- Excellent problem-solving skills and ability to work both independently and in a team-oriented environment.
- Strong communication skills, with the ability to present complex data findings to both scientific and non-scientific audiences.
- Type:
- Permanent
- Start Date:
- 05/09/2024
- Contract Length:
- N/A
- Contact Name:
- Login or register to view
- Telephone:
- Login or register to view
- Job Reference:
- BK-24
- Job ID:
- 222279286
Remember: You should never send money to a prospective employer or disclose any financial information. Should you encounter any job listings requesting payments or financial details, please reach out to us immediately. For further guidance, visit jobsaware.co.uk.
