Data Scientist

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

Company Description

About AbbVie

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, XandYouTube.

Job Description

This is an exciting opportunity to work on a cross-functional team preparing data and enabling modeling activities in support of Product Development and Manufacturing Sciences organizations at AbbVie.

Within the Product Development laboratories, the objective is to partner with modeling SMEs and the Digital organization to prepare data from source systems and data lakes, and enable model execution for statistical, hybrid and mechanistic models, with the ultimate objective to streamline and automate the process from data collection through model execution in a “Lab-in-the-Loop” environment. This environment should enable end-to-end automation of laboratory data and modeling in a way that is accessible for all laboratory scientists to access. It should also provide an opportunity to gain a deep understanding of bioprocess data, and also to learn multivariate, hybrid and machine learning modeling in support of deeper scientific insights, and upholding the highest standards of quality and productivity.

Responsibilities:

• Partnerwith Manufacturing Sciences, the objective is to compile, clean and feature engineer the same laboratory and commercial data sets for multivariate and hybrid “Digital Twin” process models,
• Partnerwith the Digital organization to deliver end-to-end data pipelines, products, and models from successful proofs of concept.
• Routinely demonstrate scientific initiative and creativity in research or development activities.
• Highly autonomous and productive in performing laboratory research or method development, requiring only minimal direction from or interaction with supervisor.
• Formulate conclusions and design follow-on experiments based on multidisciplinary data.
• May initiate new areas of investigation that are scientifically meaningful, reliable, and can be incorporated directly into a research or development program.
• A primary author of publications, presentations, regulatory documents and/or primary inventor of patents.
• Demonstrates high proficiency across a wide range of relevant technologies.
• Understand and adhere to corporate standards regarding code of conduct, safety, appropriate handling of materials, controlled drug and radioactive compounds, GxP compliance, and animal care where applicable.

Qualifications

• Bachelor’s Degree or equivalent education and typically 10 years of experience, Master’s Degree or equivalent education and typically 8 years of experience, PhD and no experience necessary.
• Possess thorough theoretical and practical understanding of own scientific discipline.

Preferred Qualifications:

• Masters in Data Engineering, Data Science or related
• Prior experience in biotech or pharmaceuticals preferred
• Strong experience in programming, including Python, SQL, etc.
• Experience with standard cloud-based data lake infrastructure
• Experience using source code management tools (e.g. GitHub)
• Familiarity with data pipeline tools such as KNime, dbt, etc.
• Familiarity with model management and pipeline tools preferred (ML Flow, DataBricks, etc.)
• Familiarity or willingness to learn ServiceNow and support application owner and access review for data and modeling capabilities
• Experience with biotech data systems preferred: AVEVA PI, LIMS, ELN, MES, ERP, etc.
• Experience with laboratory automation and data
• Some experience with BI tools preferred (e.g. Spotfire, PowerBI, etc.)
• Experience in SIMCA, JMP, or hybrid modeling preferred
• Interest in learning, or experience with process, statistical, hybrid, mechanistic, and/or machine learning models.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state orlocal law:

• The compensation range described below is the range of possible base pay compensation that the Companybelieves ingood faith it will pay for this role at thetimeofthis posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographiclocation,andwemayultimatelypaymore or less than the posted range. This range may bemodifiedin thefuture.
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),medical/dental/vision insurance and 401(k) to eligibleemployees.
• This job is eligible to participate in our short-term incentive programs.

Note: No amount of payis considered to be wages or compensation until such amount is earned, vested, anddeterminable.Theamountandavailabilityof anybonus,commission, incentive, benefits, or anyother form ofcompensation and benefitsthat are allocable to a particular employeeremainsin the Company'ssoleandabsolutediscretion unless and until paid andmay bemodifiedat the Company’s sole and absolute discretion, consistent withapplicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html