Scientific Data Engineer (1099)

Raleigh, United States

ProPharma

ProPharma helps navigate the complexities of drug development and ensure patient health and safety throughout the product lifecycle.

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For the past 20 years, ProPharma has improved the health and wellness of patients by providing advice and expertise that empowers biotech, med device, and pharmaceutical organizations of all sizes to confidently advance scientific breakthroughs and introduce new therapies. ProPharma partners with its clients through an advise-build-operate model across the complete product lifecycle. With deep domain expertise in regulatory sciences, clinical research solutions, quality & compliance, pharmacovigilance, medical information, and R&D technology, ProPharma offers an end-to-end suite of fully customizable consulting solutions that de-risk and accelerate our partners’ most high-profile drug and device programs.

We are 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.

Responsibilities:

  • 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.

Qualifications:

  • 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 pharmaceutical product 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.

***ProPharma Group does not accept unsolicited resumes from recruiters/third parties. Please, no phone calls or emails to anyone regarding this posting.***

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Chemistry Consulting Data pipelines Engineering Kubernetes Pharma Pipelines Python R R&D Redshift Research

Perks/benefits: Health care Wellness

Region: North America
Country: United States

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