Scientific Data Engineer Consultant

PPG US ProPharma Group, LLC

Raleigh (NC)

Hybrid

USD 105,000 - 145,000

Full time

10 days ago

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Job summary

ProPharma Group seeks an experienced Scientific Data Engineer to design and optimize data pipelines using AWS technologies, with a focus on ingesting and transforming data from scientific instruments and analytical results.

The role requires strong Python skills, experience with Glue/Aurora/Redshift, and familiarity with CRO/CDMO data workflows in a biotech environment. Hybrid work from Raleigh, NC is available.

Qualifications

  • Bachelor’s degree in Life Sciences or related field.
  • 5+ years of AWS experience with data pipelines.
  • Experience with CRO/CDMO data ingestion and CMC data preferred.

Responsibilities

  • Design, develop, and maintain data pipelines using AWS tools (Glue, Aurora, Redshift).
  • Ingest, parse, and transform data from diverse scientific instruments and results.
  • Collaborate with cross‑functional teams to meet data requirements.
  • Apply solid Python skills to optimize data processing workflows.

Skills

AWS
Python
Data ingestion
Data pipelines
Kubernetes
Redshift
Glue
CMC data

Education

Bachelor’s degree in Life Sciences

Tools

Glue
Aurora
Redshift
Kubernetes
Microsoft Fabric

Job description

For the past 25 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. 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.

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 domain biologics development and CMC.
Educational Requirements
  • Minimum of a bachelor’s degree in the Life Sciences.
  • 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 stride 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.

All applications to roles at ProPharma are personally reviewed by a member of our recruitment team. We do not rely on AI screening tools to support our hiring process. You will always receive an outcome to your application so that you have an answer from us - whether you're successful or not. Whilst ProPharma supports remote working, we also recognise the value that comes from in person collaboration. As such, we encourage any new hires that are based within a reasonably short commute of one of our offices to work on a hybrid basis and spend some time working from that office location, as agreed with your manager. All applications will be treated on their own merit and candidates will not be at any advantage or disadvantage based on their proximity to an office.

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