Data Scientist

Payrate : $ - $

Summary :

The Discovery Proteomics group is seeking a talented and motivated bioinformatician / scientific software engineer to build scalable and interactive web applications that support high-throughput proteomics research. This position will focus on extending and enhancing an existing Python-based web framework by developing new features, improving backend and frontend integration, and ensuring applications scale to handle large and complex biological datasets. The successful candidate will work closely with bioinformaticians, experimental scientists, and Company’s informatics technology teams to advance computational infrastructure that enables scientists to explore, visualize, and interpret complex biological datasets and drive data-informed decision making in discovery research.

Responsibilities

• As a bioinformatician / scientific software engineer in the Discovery Proteomics group, you will develop and maintain Python-based web applications using Flask for backend services and Dash / Plotly for frontend visualizations, ensuring that applications are responsive, reliable, and capable of handling millions of quantitative data points.
• You will design and integrate backend logic and REST APIs with clean object-oriented programming practices, and contribute to shared codebases with strong version control, testing, and documentation.
• You will work with a variety of database systems and data models, applying best practices in schema design and data organization to support large-scale biological datasets.
• Familiarity with CI / CD practices is a plus.
• In addition, you will leverage your understanding of biological data to design impactful visualizations that help experimental scientists interpret results and accelerate discovery research.

Qualifications :

Preferred Qualifications :

Top Must Have Skill Sets :

Nice to have :

Pay Transparency : The typical base pay for this role across the is : $ - $ Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, paid days off, (k) plan participation, commuter benefits and life and disability insurance.

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