Remote Senior Data Scientist - Machine Learning Bioinformatics

Our client, a fully remote-first innovator in bioinformatics and AI, is seeking a highly skilled Senior Data Scientist to join their dispersed but cohesive research team. This role is dedicated to advancing our understanding of complex biological systems through the application of advanced machine learning techniques. You will be instrumental in developing predictive models, analyzing large-scale biological datasets (genomics, proteomics, etc.),

and deriving actionable insights to drive our research and development pipeline. The ideal candidate possesses a strong foundation in machine learning, deep learning, statistical modeling, and a solid understanding of biological principles. This position offers the ultimate flexibility, allowing you to contribute significantly from anywhere, with a strong emphasis on asynchronous communication and collaborative digital tools.

• Design, develop, and deploy sophisticated machine learning models for biological data analysis, including predictive modeling, classification, and clustering.
• Process and analyze large, complex biological datasets, such as genomic sequences, gene expression profiles, and protein interaction networks.
• Collaborate remotely with bioinformaticians, biologists, and software engineers to define project requirements and integrate ML solutions into research workflows.
• Develop and implement novel algorithms and methodologies to address challenging bioinformatics problems.
• Evaluate model performance, perform hyperparameter tuning, and ensure the robustness and scalability of developed solutions.
• Communicate complex findings clearly and concisely to both technical and non-technical audiences through presentations and written reports.
• Contribute to the scientific literature and present work at virtual conferences.
• Stay abreast of the latest advancements in machine learning, deep learning, and their applications in bioinformatics and computational biology.

• Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Bioinformatics, or a related quantitative field.
• Minimum of 5 years of professional experience in data science, with a significant focus on machine learning and its application to biological data.
• Proven expertise in developing and implementing ML algorithms (e.g., regression, classification, deep learning networks) using languages like Python or R.
• Experience with ML libraries and frameworks such as Tensor Flow, PyTorch, scikit-learn, Keras.
• Strong understanding of statistical principles and hypothesis testing.
• Familiarity with biological concepts and data types (e.g., genomics, transcriptomics, proteomics) is essential.
• Excellent remote collaboration skills, including proficiency with tools like Slack, Zoom, Jira, and Git.
• Self-motivated, proactive, and able to manage projects independently in a remote setting.

As a remote-first company, we offer unparalleled flexibility and the opportunity to work from anywhere. Our client provides a highly competitive salary, excellent benefits, and a collaborative culture that values innovation and individual contribution. You'll have access to cutting-edge cloud computing resources and the chance to work on impactful projects that advance scientific discovery. Professional development is encouraged, with support for attending virtual conferences and online courses.