Senior Data Scientist, Biomarker - North Chicago, United States - AbbVie, Inc

AbbVie, Inc North Chicago, United States

3 weeks ago

Description

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 Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.

Job Description

Clinical Analytics is an ambitious team of Data Scientists with a unique blend of Business, Scientific, and Machine Learning expertise that seeks to unleash the full potential of AbbVie's data assets by bringing technology and/or data and insights to the forefront of decision making via fit-for-purpose data analytics solutions.

The Senior Data Scientist, Clinical Analytics role is a key technical leadership role to enable application of advanced analytics techniques across clinical development processes.

Drives Analytics innovation and experimentation to enable data-driven insights for complex business problems across R&D by deploying advanced analytics techniques like Machine Learning and Visual Analytics.

Ensures consistency in analysis techniques and delivery against cross-functional needs. Ensures data integrity and quality prior to analysis. Identifies use cases that are appropriate for the application of Machine Learning and artificial intelligence.

Responsibilities

Connects with cross-functional teams to design work product and as an analytics consultant. Anticipates and identifies issues that could affect timelines or quality and develops options and solutions
Leads and helps establish the design principles and standards to ensure analytical work product is consistent across projects where appropriate and that user experience is optimized
In addition to standard statistical methods, develops prototypes, test methods and algorithms. Leverages emerging statistical methodologies, ML and AI to drive innovative analytical solutions to create insights
Enables data-driven insights to support of clinical development, including precision medicine
Ensures that data presented, and presentations, maintain study integrity. This role is required to support multiple use cases and should ensure that each work product is fit for purpose
Leads both cross-functional innovation and functional process improvement initiatives and 'lessons learned' events
Ensures adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie Standard Operating Procedures (SOPs), and to functional quality standards. Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development
Responsible for coaching and mentoring junior team members
Identify business needs and support the creation of standard KPIs, reports, and statistical analyses
Work side by side with cross-functional teams as an analytics consultant to strategize on how analytics can help evaluate the progress of clinical trials, as well as facilitate discussions around emerging risks. Applies machine learning techniques to validate assumptions and predict future behavior

Qualifications

Qualifications

Bachelor's or Master's degree in statistics, mathematics, analytics, bioinformatics, data science or equivalent field with 6+ years (BS), 4+ years (MS) or 2+ years (PhD) of related experience
Expert-level proficiency in R, SAS or other statistical packages. Intermediate-level knowledge of statistical and data mining techniques
Expert proficiency with visualization tools like Spotfire, Tableau or equivalent
Experience working in Cloud Computing environments (e.g., AWS, Azure, etc) is preferred
Experience with Hadoop platforms and related "big data" technologies is preferred
Proven expertise with Machine Learning and other advanced analytics techniques
Demonstrated effective communication skills. Demonstrated ability to communicate analytical and technical concepts in layman's terms
Demonstrated problem-solving and analytical skills
Demonstrated history of successful execution in a fast-paced environment and in managing multiple priorities effectively

Additional Information

Applicable only to applicants

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