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Job Description
Analyst - Data Science (Vaccines)
This role involves working with our partners in Vaccines and Domain areas (Patient Analytics, HCP Analytics, Campaign Measurement) across the organization to help create scalable and production-grade analytics solutions, ranging from performance analytics to advanced statistical and AI/ML models.
We are seeking candidates with prior hands-on experience in Data Science (building end-to-end ML models), experience in the US commercial healthcare analytics or consulting sectors with good understanding of real-world and patient-level data (PLD) is a plus (not mandatory). You will be part of a dynamic team that collaborates with our partners across our Vaccines portfolio. Furthermore, effective communication skills are crucial, as this role requires interfacing with executive and business stakeholders.
Key Responsibilities:
Understand the business requirements and support the manager to translate those to analytical problem statements.
Implement the solution steps through SQL/Python, appropriate ML techniques without rigorous handholding.
Follow technical requirements (datasets business rules, technical architecture) and industry best practices in every task.
Collaborate with cross-functional teams to design and implement solutions that meet business requirements.
Present the findings to US DS stakeholders in a clear and concise manner and address feedback.
Adopt a continuous learning mindset, both technical and functional.
Develop deep expertise in Vaccines therapeutic area, with clear focus on commercial aspects.
Who you are:
· You understand the foundations of statistics and machine learning and can work in high performance computing/cloud environments, with experience/knowledge in aspects across statistical analysis, machine learning, model development, data engineering, data visualization, and data interpretation
· You are self-motivated, and have demonstrated abilities to think independently as a data scientist
· You structure your data science approach according to the necessary task, while appropriately applying the correct level of model complexity to the problem at hand
· You have an agile mindset of continuous learning and will focus on integrating enterprise value into team culture
· You are kind, collaborative, and capable of seeking and giving candid feedback that effectively contributes to a more seamless day-to-day execution of tasks
Minimum Qualifications:
· Bachelors degree with 1-3 years’ experience in solving Data Science problems hands-on
· Strong Python/R and SQL skills
· Strong foundations of statistics and machine learning
Preferred Qualifications:
· Advanced degree (MS, PhD) in a quantitative science (e.g., Statistics/Mathematics/Computer Science/Data Science/Machine Learning/AI)
· Prior experience with Healthcare consulting firms/Pharmaceutical organizations in US Healthcare domain.
Good to have but not mandatory:
· Familiarity with Real-World and Patient-Level data (e.g., claims, electronic health records) and data from common healthcare data vendors (IQVIA, Optum, Komodo, etc.)
· Experience in Patient Level Data analytics (e.g., creating Patient Cohorts, knowledge of Lines of Therapy, Persistency, Compliance, etc.)
Current Contingent Workers apply
*A job posting is effective until 11:59:59PM on the dayBEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the dayBEFOREthe job posting end date.
A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
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