Data Scientist, Clinical Analytics

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming, Statistics, Biostatistics

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 scope and impact of Clinical Analytics continues to broaden as we constantly explore new opportunities to disrupt clinical development. We collaborate closely with stakeholders to outline the problem, explore solutions, refine opportunities, and deliver a product with a continuous innovation mindset.

This role is 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. Ensures consistency in analysis techniques and delivery against cross-functional analytics and visualization requirements. Accountable for gathering cross-functional input into the development of Clinical Analytics Team Deliverables. Ensures clinical data integrity and quality prior to analysis.

Responsibilities:

• Enables data-driven insights to support of Development.
• For assigned clinical trials, works with the cross-functional study team to enable fit-for-purpose analytics solutions. Aligns DSS study teams with program- and study-level analytics strategies.
• Connects with cross-functional teams to design work product and as an analytics consultant.
• Ensures that presented data 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.
• Works with team to ensure analytical work product is consistent from study to study where appropriate and that user experience is optimized and follows the design principles and standards established by the team.
• Anticipates and identifies issues that could affect timelines or quality and develops options and solutions.
• In addition to standard statistical methods, develops prototypes, tests methods, and deploys algorithms, including machine learning and AI techniques. Leverages emerging statistical methodologies to drive innovative analytical solutions to create insights from clinical and molecular data.
• Leads both cross-functional innovation and functional process improvement initiatives and ‘lessons learned’ events.
• Responsible for coaching and mentoring junior team members.
• 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.

Qualifications

• Bachelor’s degree statistics, bioinformatics, mathematics, data science or equivalent field. Master’s degree preferred
• Must have 3+ years of clinical research or analytics-related experience
• Intermediate-level proficiency in R, SAS or other statistical packages. Intermediate-level knowledge of statistical and data mining techniques
• Good understanding of clinical trial process and clinical technology. Experience in managing a clinical trial from initiation through to completion is preferred
• 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