Data Scientist II - R&D Data Analytics Visualization

Company Description

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 - immunology, oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.

Job Description

Come to work each day with an inclusive and collaborative business technology team. As a Data Scientist II in AbbVie Business Technology Solutions (BTS), you'll have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better.

About our Team:

The Data Analytics and Visualization team is comprised of data scientists also equipped with the knowledge of R&D science. Quite simply, we evolve science with data. We partner our R&D scientists to build and advance solutions that make discovering and developing medicines better. Join this collaborative team in a flexible work environment to help Abbvie make a remarkable impact on people's lives.

In this role, you'll be responsible for:

As a Data Scientist at AbbVie, you will be responsible for advancing the way we capture, analyze, calculate and visualize scientific data. To do this effectively, strong communication skills will be crucial for collaboration, scientific engagement and training. Excellent problem-solving and quantitative skills are needed to identify the right solution and troubleshoot workflows. Building solutions such as dashboards, visualizations, and analyses will require strong technical skills and experience with analytics platforms (Spotfire, PowerBI, Qlikview, or Tableau).

Qualifications

Tools and skills you will use in this role:

• Clear interpersonal communication, proofreading, editing, and formatting skills

• Problem-solving and quantitative skills

• Strong technical capabilities to build dashboards, visualizations, and analyses using standard tool sets (Spotfire, Power BI, Qlikview, Tableau)

Experiences that make you a strong candidate for this role:

Required:

• Bachelor's Degree equivalent education and typically 5 years of experience, Master's Degree or equivalent education and typically 4 years of experience.

• Knowledge of statistical and data mining techniques

• SQL skills (basic queries, table creation, views, and reporting)

• Python or R

• Proficiency in data flow/architecture and ETL

• Demonstrated history of successful execution in a fast-paced environment and in managing multiple priorities effectively

Beneficial:

• Background in life sciences or work experience in the pharmaceutical industry preferred.

• Working knowledge of drug discovery process and bioassay analysis

• Experience with pipeline software (RapidMiner, Knime, Pipeline Pilot)

• Familiarity with GitHub or other version control tools

If you believe you're a great fit for this job but don't have all of the experiences listed above, we encourage you to