Bioinformatician: Data Science lead

Job Overview

SciLifeLab is seeking a Bioinformatician: Data Science lead to spearhead data science initiatives within their national research center in Stockholm, Sweden. This pivotal role involves leveraging advanced bioinformatics and data science expertise to contribute to critical health and environmental research, combining cutting-edge technical skills with comprehensive knowledge of translational medicine and molecular bioscience.

Company Overview

SciLifeLab is a prominent Swedish national center dedicated to molecular biosciences, focusing on cutting-edge health and environmental research. Established in 2010 and officially appointed a national center in 2013 by the Swedish government, SciLifeLab integrates frontline technical expertise with advanced knowledge in translational medicine and molecular bioscience. With primary sites in Stockholm and Uppsala, and additional locations across Sweden, it fosters a collaborative and innovative research environment aimed at scientific discovery and societal impact.

Quick Details

• Salary Range: Market Competitive
• Job Type: Full-time
• Qualifications: None / Open to all applicants
• Experience: 5 Year+

Key Responsibilities

• Lead and manage complex bioinformatics and data science projects in health and environmental research.
• Develop and implement advanced computational strategies for analyzing large-scale biological data.
• Provide expert guidance in statistical analysis, machine learning, and data visualization techniques.
• Collaborate effectively with interdisciplinary research teams to design experiments and interpret complex biological data.
• Mentor and guide junior bioinformaticians and data scientists, fostering their professional growth.
• Stay abreast of the latest advancements in bioinformatics tools, methodologies, and data science trends.

Requirements

• PhD or Master’s degree in Bioinformatics, Computational Biology, Data Science, or a closely related scientific field.
• Proven extensive experience (5+ years) in bioinformatics, data analysis, and leading scientific projects.
• High proficiency in programming languages such as Python or R for data manipulation and analysis.
• Strong understanding of statistical methods, machine learning algorithms, and their application to biological data.
• Excellent communication and interpersonal skills for effective collaboration within diverse teams.
• Demonstrated experience with high-throughput sequencing data analysis and relevant bioinformatics tools.

Benefits

• Opportunity to lead impactful and cutting-edge research in molecular biosciences at a national level.
• Work within a state-of-the-art national research facility with access to advanced technologies.
• Collaborate with leading experts and scientists in health and environmental research.
• Numerous opportunities for professional development, training, and continuous learning.
• Enjoy a competitive salary and a comprehensive benefits package provided by a government-appointed institution.
• Contribute to significant scientific discoveries with direct societal and environmental impact.