Machine Learning Engineer, Operations and Health Systems Research

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Overview

The Machine Learning Engineer for Operations and Health Systems Research at Biogen will play a crucial role in driving data-driven strategies to enhance healthcare delivery and operational efficiencies. This position entails developing machine learning models, analyzing complex health data, and collaborating with multi-disciplinary teams to translate findings into practical applications within the healthcare environment. The ideal candidate will leverage their expertise in machine learning to contribute to innovative solutions that improve patient outcomes and operational performance.

Job Responsibilities

• Design, develop, and implement machine learning models for operational and health systems research initiatives.
• Conduct comprehensive data analysis to derive actionable insights from large and complex datasets.
• Collaborate with healthcare professionals and stakeholders to identify research needs and define project objectives.
• Evaluate the effectiveness of existing models, facilitating continuous improvement based on new data and research findings.
• Prepare detailed reports and presentations to communicate findings and recommendations to both technical and non-technical audiences.
• Stay abreast of emerging trends in machine learning and healthcare analytics to inform strategic initiatives.
• Mentor junior team members and support their professional development in machine learning and data science.

Qualifications

• Master’s degree in Computer Science, Data Science, Biomedical Engineering, or a related field; Ph.D. preferred.
• Proven experience in machine learning, data science, and quantitative analytics within a healthcare context.
• Strong programming skills in languages such as Python, R, or Java, with proficiency in machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of statistical analysis and data visualization techniques.
• Ability to work with large datasets and experience with database management systems such as SQL.
• Excellent problem-solving skills paired with strong analytical abilities.
• Outstanding communication skills, both written and verbal, with experience in presenting complex concepts to diverse audiences.

Technologies & Tools

The Machine Learning Engineer will utilize a variety of technologies and tools, including but not limited to cloud computing platforms (e.g., AWS, Azure), data visualization software (e.g., Tableau, Power BI), and research-oriented programming languages like R and Python. Familiarity with big data technologies such as Hadoop and Spark is also beneficial. The role requires proficiency in machine learning frameworks and libraries for model development and deployment, along with database systems for effective data management.

Ideal Candidates

Ideal candidates for this position will exhibit a strong combination of technical expertise and soft skills. They should possess a natural curiosity and a passion for solving complex healthcare challenges through innovative technology. Team players who thrive in collaborative environments and demonstrate effective project management capabilities will excel in this role. Additionally, a proactive approach to continuous learning and adaptation to new technologies will be essential. Strong interpersonal skills and the ability to foster relationships across departments will enable seamless integration of machine learning solutions in operational processes.