Scientific Data Engineer Consultant

JPR, P.C.

United States

2 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

startup.jobs

Tech stack

Amazon Web Services Information Engineering Data Files Data Transformation Python (Programming Language) Data Processing Data Ingestion Microsoft Fabric Kubernetes Data Pipelines

Job description

Design, develop, and maintain data pipelines using AWS tools such as Glue, Aurora, and Redshift.
Implement data ingestion and parsing solutions for diverse data files from instruments and analytical results.
Orchestrate and transform data pipelines to ensure efficient data capture and processing.
Collaborate with cross-functional teams to understand data requirements and deliver solutions.
Utilize solid Python skills to develop and optimize data processing workflows.

Requirements

ProPharma is seeking an experienced Scientific Data Engineer to join our team. The ideal candidate will have a strong background in AWS tools and data engineering, with a focus on data ingestion solutions for CRO/CDMO environments. This role requires expertise in data capture, orchestration, and transformation, as well as the ability to handle a wide variety of data files from scientific instruments and processed results., * Minimum of 5 years’ experience in AWS.

Proficiency with AWS tools: Glue, Aurora, Redshift.
Experience with Microsoft Fabric is a plus.
Knowledge of Kubernetes is a plus.
Strong Python programming skills.
Demonstrable experience with scientific, analytical, or process data, ideally within the domain of CMC (Chemistry, Manufacturing, and Controls) data.
Ability to quickly learn and understand data related to domain biologics development and CMC.

Educational Requirements:

Minimum of a bachelor’s degree in the Life Sciences.

Preferred Skills:

Experience in CRO/CDMO data ingestion solutions.
Familiarity with data capture and orchestration of data pipelines.
Knowledge of data transformation techniques.

We celebrate our differences and strive to create a workplace where each person can be their authentic self. We are committed to diversity, equity, and inclusion. Employees are encouraged to unleash their innovative, collaborative, and entrepreneurial spirits. With a holistic approach as an Equal Opportunity Employer, we provide a safe space where all employees feel empowered to succeed.