Sr. Associate, Clinical Analytics (Study Feasibility Startup)(Remote Opportunities)

AbbVie - Summerville, SC

Full-time - Mid Level

Summerville, SC

Chemical Manufacturing

About the position

The Senior Associate, Clinical Analytics role at AbbVie is a pivotal position within the Data Science and Analytics team, which is composed of Data Scientists and Data Engineers. This team is dedicated to leveraging AbbVie's extensive data assets to enhance decision-making through innovative technology and data-driven insights. The primary focus of this role is to apply advanced analytics techniques to assess the feasibility of clinical trials at various levels, including program, study, country, and site. The Senior Analyst will drive analytics innovation and experimentation, utilizing machine learning and visual analytics to generate actionable insights for complex business challenges within Research and Development (R&D). In this role, the Senior Associate will collaborate with cross-functional teams to design analytical work products and serve as an analytics consultant. They will proactively identify potential issues that could impact project timelines or quality, developing viable solutions to address these challenges. The responsibilities include conducting comprehensive analyses related to clinical trial feasibility, which encompasses study design, benchmarking, country and site selection insights, and competitive landscape assessments. The Senior Associate will also utilize analytics solutions to create machine learning-informed site lists, ensuring that analytical outputs are consistent and user-friendly across various projects. Moreover, the Senior Associate will play a crucial role in supporting the clinical development continuum, including precision medicine initiatives. They will ensure compliance with federal regulations, local guidelines, Good Clinical Practices, and AbbVie Standard Operating Procedures. The position also involves identifying business needs and contributing to the development of standard Key Performance Indicators (KPIs), reports, and statistical analyses. Additionally, the Senior Associate will mentor junior team members and work closely with cross-functional teams to strategize on how analytics can enhance the evaluation of clinical trial progress and address emerging risks. By applying machine learning techniques, they will validate assumptions and predict future behaviors, thereby contributing significantly to the success of AbbVie's clinical research efforts.

Responsibilities

• Connect with cross-functional teams to design work products and serve as an analytics consultant.
• Anticipate and identify issues that could affect timelines or quality and develop options and solutions.
• Conduct and deliver fit-for-purpose analysis related to clinical trial feasibility, including study design, benchmarking, country and site selection insights, and competitive landscape.
• Utilize analytics solutions to generate machine learning or quantitatively informed site lists.
• Lead and help establish design principles and standards to ensure analytical work products are consistent across projects and optimize user experience.
• Enable data-driven insights to support the clinical development continuum, including precision medicine.
• Ensure adherence to federal regulations, local regulations, Good Clinical Practices, ICH Guidelines, and AbbVie Standard Operating Procedures.
• Identify business needs and support the creation of standard KPIs, reports, and statistical analyses.
• Coach and mentor junior team members.
• Work side by side with cross-functional teams to strategize on how analytics can help evaluate the progress of clinical trials and facilitate discussions around emerging risks.

Requirements

• Bachelor's degree in statistics, analytics, bioinformatics, data science, or equivalent field; Master's degree preferred.
• Minimum 3-5 years of analytics-related experience in clinical research with demonstrated high-level analytics and leadership competencies.
• Advanced domain knowledge in clinical trial feasibility and real-world data sources.
• Experience in advanced uses of Excel, SQL, R, Python, or other statistical packages; knowledge of statistical and data mining techniques.
• Expert proficiency with visualization tools like Spotfire, Tableau, or equivalent.
• Demonstrated effective communication skills, with the ability to convey analytical and technical concepts in layman's terms.
• Strong problem-solving and analytical skills.
• Proven history of successful execution in a fast-paced environment while managing multiple priorities effectively.

Nice-to-haves

• Experience with machine learning techniques and their application in clinical research.
• Familiarity with regulatory compliance in clinical trials.
• Knowledge of data governance and data quality principles.

Benefits

• Paid time off (vacation, holidays, sick)
• Medical, dental, and vision insurance
• 401(k) plan
• Participation in short-term incentive programs