Senior Data Scientist, Biomarker & Precision Medicine Analytics (On-Site, IL Based)

Senior Data Scientist, Biomarker & Precision Medicine Analytics (On-Site, IL Based)

02 May 2024
Illinois, Northchicago, 60064 Northchicago USA

Senior Data Scientist, Biomarker & Precision Medicine Analytics (On-Site, IL Based)

Company DescriptionAbbVie'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 DescriptionClinical 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


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 InformationApplicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​​

The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.​

We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

This job is eligible to participate in our short-term incentive programs. ​

This job is eligible to participate in our long-term incentive programs​

​Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. ​​​​AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion. It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.

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