Senior Data Analyst - Only on W2

Areas of Expertise
• Forecasting: creating time-series and/or patient-based forecasts; conducting uncertainty analyses
• Data Analysis: identifying trends and patterns in the data; descriptive statistics; qualitative and quantitative insights generation
• Advanced Data Analytics: designing and delivering advanced quantitative data analyses leveraging large/complex datasets and innovative methodologies
• Product Management: end to end delivery of analytical solutions from ideation through implementation, providing strategic partnership to communities across ECD Clinical Operations

?

Primary Responsibilities and Accountabilities
• Develop and deliver business relevant, innovative reports/analyses for use at all levels of the ECD Clinical Operations department (e.g. leadership, project team, study team).
• Deliver integrated insights and analytics, trade-off analyses, and risk assessment to enable optimization of patient recruitment strategies, country footprint, and clinical site selection for ongoing and planned clinical trials.
• Partner with relevant stakeholders to assess the health of the portfolio of clinical trials and identify opportunities to accelerate the delivery of studies and product launches.
• Communicate the effects that trial design elements, country and site selection, competitor activities and new engagement tactics will have on clinical trial recruitment & retention forecasts.
• Consult with members of leadership and other stakeholders on the changing landscape of industry standards for clinical operations to support current and emerging portfolio needs (e.g., evolving Phase I model, regulatory timeline shifts, accurate short- and long-term forecasts).
• Drive requirements gathering for data visualizations and innovative analyses and ensure complete understanding of project objectives and action plans.
• Exercise independent judgment and discretion on analyses and analytics projects – driving to strategic solutions for leadership.
• Actively participate in cross-business unit and cross-functional global workstreams to align and implement global strategies and tools when appropriate.
• Manage communication with study teams and other stakeholders at all levels, both written and verbal. Prepare presentations and participate in internal and functional meetings to discuss analytical methods, results, and recommendations.
• Increase the sophistication and application of advanced analytics methods (including predictive modeling, machine learning, and scalable prototypes) to measure study performance and guide portfolio-level decisions efficiently and at the speed of business.
• Develop expertise in concepts, methods and supporting technology relevant to analytics. Stay current with and adopt emergent relevant methodologies, tools and applications to ensure fit-for-purpose and impactful approaches.
• Leverage off-the-shelf solutions to develop customized data visualizations.
• Lead and support business initiatives with analytics and data driven insights.
• Work with IT and data governance teams to clarify data needs. Collaborate with internal and external team members to acquire, aggregate and/or curate data and information.
• May provide oversight to junior team members conducting analysis.

Qualifications
• Bachelor's degree in Data Science, Statistics, Computer Science, Life Sciences, Public Health, or a related field; Graduate-level degree preferred
• 3+ years experience in Biotech/Pharmaceutical industry
• 5+ years experience (3-5 years of experience with a Masters degree) in the following areas: Patient Insights, Investigator Insights, Forecasting, Competitive Intelligence, Data Analytics, Statistics, Advanced Data Analytics, Resourcing, Information Visualization and/or Data Science
• Strong proven experience engaging Clinical Operations stakeholders to understand and diagnose business problems, as well as using data driven methods to analyze and solve business situations
• Demonstrated experience translating data into insights and creating compelling narratives
• Portfolio management experience is highly desirable
• Experience with various forecasting methods and techniques strongly preferred
• Understands the advantages and limits of different analytical approaches
• Considerable experience applying exploratory & confirmatory data analysis techniques that inform business decisions
• Track record of effectively working in a matrix environment with team members coming from scientific, business and operational backgrounds, using influence without authority

?

Technical Skills
• Experience with scripting, statistical & programming languages and analytical tools (e.g., Python, R, SQL, SAS)
• Experience with data visualization tools (e.g., Tableau, Spotfire) is preferred
• Ability to merge together data sets from disparate sources and report findings in a variety of formats and mediums
• Experience with real-world data sources and electronic health records (EHR) systems is a plus
• Advanced proficiency in MS Excel and MS PowerPoint

?

Soft Skills
• Strong organizational skills and attention to detail
• Strong interpersonal skills and a consultative mindset, with the ability to develop strong partnerships, highly effective verbal & written communication skills
• Good problem-solving ability, process minded, breaking down complex problems into distinct parts, able to generate refined output from general concept, managing uncertainty, understanding, anticipating interdependencies
• Able to proactively "connect the dots” by asking thought-provoking questions
• Objective when presenting insights and guiding decision-making; demonstrate good presentation skills by pairing sound analytics with storytelling
• Self-accountability, strong sense of responsibility, and integrity
• Able to multi-task and re-prioritize work on short notice, able to lean in and manage through change
• Ambitious, resourceful, works with minimal instruction and oversight
• Highly effective leader and team player

Notes

This role focuses on forecasting clinical trial outcomes using real-world data, clinical trial data, and operational data.

The position requires expertise in R and Python to develop predictive models for site selection, patient recruitment, and trial trajectories.

The analyst will use data from investigators, hospitals, and clinical trials to generate actionable insights and drive data-informed decisions, optimizing trial efficiency and performance.

Sas is not that important

R python is a must