SRG company
We are looking for an exceptional Data Scientist to drive the development of innovative AI and ML solutions for biomarker discovery, drug response prediction, and clinical decision-making support. This role offers a unique opportunity to leverage AI/ML technologies to enhance cancer patient outcomes.
This position requires a strong foundation in traditional statistical methods and expert knowledge of ML methodologies to analyse complex LC-MS/MS-derived datasets.
Collaborating closely with wet lab and bioinformatics teams, you will play a pivotal role in establishing a new precision medicine approach, aiming to create a single test predictive of a patient’s response to various therapies.
Are you experienced in Machine Learning (ML) and Deep-Learning (DL) methods, with over 5 years of expertise? This role involves applying various ML approaches to complex molecular and clinical data for biomarker discovery. Additionally, proficiency in a cloud platform like GCP, AWS, or Azure is key, along with experience in source control and software lifecycle management.
If you have a strong track record in structured problem-solving within interdisciplinary settings and a solid understanding of biochemical and molecular biological systems, this could be the perfect fit for you. A passion for mentoring and supporting colleagues, especially in ML best-practices, is highly valued.
We are looking ideally for individuals with expertise in Bayesian statistical methods, bioinformatics pipelines for proteomics data analysis, and experience in regulated environments. If you have a PhD or equivalent experience in these fields and are fluent in R, Python, or C++ and passionate about applying data science to revolutionise precision medicine and drive significant advancements in cancer treatment, this is an exciting opportunity to make a meaningful impact in the field.
Onsite/hybrid/remote options available.
