[Remote] Principal Data Scientist; PopGen Modeling

Note: The job is a remote job and is open to candidates in USA. Barrington James is partnering with a fast-growing biotechnology company that is applying advanced AI and machine learning to accelerate drug discovery and translational research. They are seeking a Principal Data Scientist with deep experience in genomics and biological data modeling to play a hands-on role across research projects and platform development. Responsibilities • Design, develop, and deploy advanced data science and machine learning models using complex biomedical datasets • Work with population genetics, genomics, and multi-omics data to support target discovery, patient stratification, and biological insight generation • Build and extend internal analytics platforms and reusable modeling frameworks • Apply simulation-based and statistical modeling approaches to biological and genomic problems • Collaborate closely with distributed scientific and technical teams • Communicate complex analytical results clearly to both technical and non-technical stakeholders • Contribute to shaping data science best practices, technical direction, and project execution Skills • PhD or MS with significant experience in a quantitative or life sciences discipline such as computational biology, bioinformatics, genetics, statistics, computer science, or engineering • Approximately 5 to 8 plus years of post-graduate experience in life sciences analytics within biotech, pharma, consulting, or advanced academic research environments • Strong hands-on experience with genomics and or multi-omics data, including population genetics, RNA sequencing, GWAS, WGS, or related data types • Demonstrated proficiency in Python and modern data science tooling • Experience applying machine learning or AI techniques to biological or healthcare datasets • Comfort working with large-scale data and high-performance or cloud computing environments • Ability to independently lead projects and collaborate across scientific and technical teams • Excellent communication skills and the ability to translate complex analyses into actionable insights • Experience with simulation-based modeling or evolutionary or population genetic frameworks • Applied experience with NLP or large language models in a scientific or healthcare context • Background in causal inference, graph-based methods, or multimodal modeling • Cloud experience such as AWS or Google Cloud • Experience supporting client-facing or cross-functional analytical projects Company Overview • Barrington James has a true global reach, with its international HQ in London-Gatwick, continental hubs in Singapore. It was founded in 2002, and is headquartered in New York, New York, USA, with a workforce of 201-500 employees. Its website is Apply tot his job