Python Developer

Company: Syntagma Group
Location: Princeton, New Jersey, United States
Type: Full-time
Posted: 19.FEB.2021
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Summary

Python Developer (Data Science & Scientific Research) Order of priorities - Tech Skills 1. Python development 2. Write structural code in...

Description

Python Developer (Data Science & Scientific Research)


Order of priorities - Tech Skills

  1. Python development
  2. Write structural code in python, including building and maintaining reusable libraries and packages
  3. Object Oriented programming in Python
  4. Writing tests in Python
  5. Read/write to database (experience writing code that's optimized)
  6. Web Service development in Python (not just specific to AWS, any REST API development)
  7. Version control software experience (Git)
  8. SQL experience (Any one - Oracle, MSSQL, etc.)

Nice to have (will provide an advantage) -

  1. Clinical data experience
  2. Tableau


Primary Responsibilities

Lead projects using advanced data modeling and predictive analytics techniques by

  • Establish scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation
  • Translate prototypes into new products, services, and features and provide guidelines for large-scale implementation
  • Write effective, reusable, scalable python code
  • Integrate front and back-end components into applicable projects
  • Perform software testing and ensure bugs are thoroughly resolved
  • Design architectural systems that support data delivery services for critical operational and analytical applications for our internal and external users.
  • Working with internal and external stakeholders to assure that their data solutions are effectively managed
  • Developing of and assuring compliance to study/client specific data science plans
  • Design and implement reporting and metrics that track and monitor the performance of our products, the quality of our data, and overall health of the business.
  • Communicate complex data or algorithms into simple conclusions that will empower leadership to drive action based on the insights derived
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.

Maintains Quality Service and Departmental Standards by

  • Reading, understanding and adhering to organizational Standard Operating Procedures ("SOP")
  • Reviewing and updating company SOPs and WIs related to Data Science Services

Secondary Responsibilities

Contributes to team effort by

  • Exploring new opportunities to add value to organization and departmental processes
  • Helping others to accomplish results
  • Performing other duties as assigned and deemed necessary

Maintains Technical Knowledge by

  • Attending and participating in applicable company sponsored training

Qualifications

Education:

  • Bachelor's degree in a quantitative field like Computer Science, Information Technology, Mathematics, Cognitive Science

Experience:

  • 5+ years experience in data management/analytics/data engineering in pharmaceutical research and development required
  • 5+ years experience as a Python developer
  • Working knowledge of SQL and databases
  • Working knowledge with Object Relational Mapper Libraries
  • Expertise in Python programming and other relevant Python frameworks (such as Django, Flask)
  • Good understanding of REST API and AWS (Amazon Web Services)
  • Understanding of front-end technologies (such as HTML5, CSS3, JavaScript)
  • Experience in version control software
  • Experience in Medical Imaging, Regulatory and Clinical Research process
  • Experience of delivering analytics products and insights and influencing business decisions
  • Understanding of clinical trial terminology required
  • Working knowledge of GCP, ICH guidelines and FDA regulations
  • Working knowledge of clinical trial data management tools
  • Meaningful experience with and understanding of the healthcare industry
  • Excellent quantitative/analytical and negotiation skills

Additional Skills:

  • Strong interpersonal and communication skills, both verbal and written
  • The ability to explain complex technical material to nontechnical audiences
  • Strong organizational and leadership skills
  • Goal oriented
  • Ability to promote and maintain a positive and professional and positive attitude
  • Fluency in English (both verbal and written) is required

 
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