Overview
Skills
Job Details
We are seeking a highly skilled Senior Python Developer with proven experience in the pharmaceutical or life sciences industry to join our growing technology team. This role will focus on designing, developing, and optimizing data-driven applications and platforms that support clinical trials, regulatory processes, and drug discovery initiatives.
The ideal candidate will have a deep understanding of Python development best practices, experience working with large, sensitive datasets, and familiarity with industry standards like FDA 21 CFR Part 11 compliance, GxP, and data integrity requirements.
Key Responsibilities:
Design, develop, and maintain scalable and efficient Python-based applications, services, and data pipelines.
Collaborate with cross-functional teams including data scientists, bioinformaticians, QA, and business stakeholders to gather requirements and deliver solutions.
Build APIs and backend services to support clinical data management, reporting tools, and other pharma-specific applications.
Ensure applications are compliant with industry standards such as FDA regulations, HIPAA, and GxP guidelines.
Develop automated test scripts, CI/CD pipelines, and deployment processes to maintain high software quality.
Optimize data processing workflows handling large and complex clinical and research datasets.
Participate in code reviews, mentor junior developers, and contribute to architecture discussions.
Maintain proper documentation for applications, data workflows, and technical designs in line with pharma regulatory requirements.
Required Skills & Qualifications:
Bachelor s or Master s degree in Computer Science, Software Engineering, Bioinformatics, or a related field.
5+ years of hands-on Python development experience, with at least 2+ years in pharmaceutical, biotech, or life sciences environments.
Strong understanding of RESTful APIs, microservices architecture, and data processing frameworks.
Experience working with clinical trial data, laboratory information management systems (LIMS), or regulatory reporting systems.
Familiarity with FDA 21 CFR Part 11, HIPAA, and GxP compliance requirements.
Proficiency with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, etc.).
Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and containerization tools like Docker and Kubernetes.
Excellent problem-solving, debugging, and analytical skills.
Strong verbal and written communication skills, with the ability to document technical processes clearly.
Preferred Skills:
Experience with bioinformatics tools or clinical data analysis platforms.
Familiarity with ETL frameworks and data integration tools.
Knowledge of data visualization libraries (Matplotlib, Seaborn, Plotly).
Exposure to data privacy regulations (GDPR, HIPAA) and cybersecurity practices.
Prior involvement in clinical trial management systems (CTMS) or electronic data capture (EDC) platforms.