Senior Data Scientist, Clinical Analytics

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Clinical Analytics is an ambitious team of Data Scientists and Data Engineers 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:

• 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, Python or other Data Science toolset. Intermediate-level knowledge of statistical and data mining techniques
• Proficiency with visualization tools like Spotfire, Tableau or equivalent
• Experience working in Cloud Computing environments (e.g., AWS, Azure, etc) 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

Significant Work Activities: Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)

Travel: No

Job Type: Experienced

Schedule: Full-time