Biotech Data Scientist—Lab-to-Model Automation

Allergan; Worcester (MA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Paid time off

Medical insurance

401(k) plan

Job summary

AbbVie is seeking a highly skilled data engineer/scientist to prepare data from source systems and data lakes to enable multivariate and hybrid models in a Lab-in-the-Loop environment. You will collaborate with Manufacturing Sciences and the Digital organization to deliver end-to-end data pipelines, products, and models from proofs of concept to production.

Ideal candidates have strong Python/SQL, cloud data lake experience, and familiarity with BI tools, code management, and model/pipeline

Qualifications

• Bachelor's degree or higher in a relevant scientific field with strong data/data science foundation.
• Master's degree in data science, engineering, or related area is preferred.
• PhD is acceptable with minimal direct experience as stated in the posting.

Responsibilities

• Prepare data from source systems and data lakes for multivariate and hybrid model development.
• Partner with Manufacturing Sciences and Digital orgs to deliver end-to-end data pipelines, products, and models.
• Demonstrate scientific initiative and creativity in research or development activities.
• Work autonomously on laboratory data and modeling tasks with limited supervision.
• Contribute to protocol development, publications, and patent activity as appropriate.
• Ensure adherence to GxP, safety, and data governance standards.

Skills

Python

SQL

Data Modeling

Statistics

Cloud Data

Education

Bachelor's degree in a relevant field

Master's degree in data science or related

PhD

Tools

GitHub

KNIME

dbt

MLflow

Databricks

PowerBI

Spotfire

JMP

SIMCA

Job description

AbbVie is seeking a highly skilled data engineer/scientist to prepare data from source systems and data lakes to enable multivariate and hybrid models in a Lab-in-the-Loop environment. You will collaborate with Manufacturing Sciences and the Digital organization to deliver end-to-end data pipelines, products, and models from proofs of concept to production.

Ideal candidates have strong Python/SQL, cloud data lake experience, and familiarity with BI tools, code management, and model/pipeline