Python Developer

We are seeking a motivated and technically inclined Entry-Level Python Developer to support software development, automation, data processing, and application development projects within the pharmaceutical, biotechnology, healthcare, and life sciences industries. The candidate will assist in developing Python-based applications, writing scripts, automating repetitive tasks, managing datasets, and building software solutions that support pharmaceutical research, clinical data management, laboratory operations, and healthcare applications. This opportunity is suitable for recent graduates or candidates with 0-2 years of experience who have an academic background in Computer Science, Information Technology, Biotechnology, Bioinformatics, Life Sciences, Pharmaceutical Sciences, or a related discipline and are interested in applying programming skills to the life sciences domain. Key Responsibilities Python Application Development: Assist in developing, maintaining, and enhancing Python-based applications and software solutions for pharmaceutical, healthcare, and life sciences projects. Python Scripting and Automation: Write Python scripts to automate repetitive tasks, process data, generate reports, and improve operational efficiency across research and business workflows. Data Processing and Analysis: Collect, clean, organize, and process clinical, laboratory, pharmaceutical, and biological datasets using Python programming techniques. Database Management: Work with databases such as MySQL, PostgreSQL, or SQL Server to retrieve, update, store, and manage application and research data. API Development and Integration: Assist in developing and integrating REST APIs to connect applications, databases, laboratory systems, and other enterprise platforms. Data Analysis Libraries: Use Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualization. Web Application Support: Assist in building and maintaining web-based applications using Python frameworks such as Django, Flask, or FastAPI. Pharma and Healthcare Application Support: Contribute to software solutions related to Laboratory Information Management Systems (LIMS), Electronic Laboratory Notebooks (ELN), Clinical Trial Management Systems (CTMS), and healthcare data platforms. Software Testing and Debugging: Perform basic testing, identify coding errors, troubleshoot application issues, and support debugging to improve software quality. Code Maintenance: Review existing code, fix basic defects, improve functionality, and follow established coding standards and development practices. Data Integration: Support the integration of data from multiple sources, including laboratory systems, clinical databases, spreadsheets, and other research applications. Documentation: Prepare and maintain technical documentation, code comments, application specifications, test cases, and development records. Version Control: Use Git and platforms such as GitHub or GitLab to manage source code, track changes, and collaborate with development teams. Compliance and Data Security: Follow established procedures for data integrity, confidentiality, and secure handling of clinical, laboratory, and pharmaceutical information. Team Collaboration: Work with software developers, data analysts, research associates, laboratory scientists, and quality professionals to understand requirements and deliver technical solutions. Required Skills Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, Biotechnology, Bioinformatics, Pharmaceutical Sciences, Life Sciences, or a related field. Basic to intermediate knowledge of Python programming. Understanding of Python fundamentals, including variables, functions, loops, conditional statements, data structures, and object-oriented programming. Familiarity with Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn. Basic understanding of SQL and relational database concepts. Knowledge of data processing, data cleaning, and data manipulation techniques. Familiarity with REST APIs and web services. Basic understanding of software development lifecycle (SDLC) and software testing. Exposure to Python frameworks such as Django, Flask, or FastAPI is an advantage. Familiarity with Git, GitHub, or other version control tools. Knowledge of pharmaceutical, biotechnology, clinical research, or healthcare processes is preferred. Strong analytical and problem-solving skills. Good attention to detail and ability to write clean, maintainable code. Good written and verbal communication skills. Ability to work independently on assigned tasks and collaborate with cross-functional teams. Willingness to learn new technologies and apply Python development skills to life sciences projects. #J-18808-Ljbffr Virtue America