Sr. Data Engineer

Department information / introduction :

Establishing data workflows for predictive tools to enable more effective identification, characterization, and development of Client medicines and vaccines is a key objective for

This position sits within the Digital Sciences team in the Analytical Enabling Capabilities sub-department of Analytical Research & Development.

You will be part of a team working collaboratively across a wide range of areas impacting all aspects of the drug discovery and development pipeline. A diverse array of projects spanning data workflows to instrument metrology to predictive sciences ensure this Digital Sciences team helps to enable work across all drug modalities including small molecule, peptide, biologics, vaccines, and beyond.

The core Digital Sciences team works with a networked group of digital champions across AR&D and has close connectivity to other digital / data facing teams across

• Research Laboratories including critical IT collaborators.

Responsibilities / Day-to-Day :

Education :

Experience :

Must have / required skills :

Python 3.9+ software development

Python packages - Boto3, Pandas, pyodbc, openpyxl

Python virtual environments - conda

IDEs - Visual Studio Code or PyCharm

Nice to have / preferred experiences and skills :

Python packages (Cerberus, PyYAML, logging)

Python linters and type hints; regular expressions

Notes :

Nesco Resource offers a comprehensive benefits package for our associates, which includes a MEC (Minimum Essential Coverage) plan that encompasses Medical, Vision, Dental, 401K, and EAP (Employee Assistance Program) services.

Nesco Resource provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.