Senior Commercial Data Science Manager

Description

The company is one of the world's preeminent pharmaceutical and healthcare companies. We take pride in leading a healthcare revolution. Through disruptive approaches in R&D and commercial business processes, our Data & Analytics team integrates, simplifies, and unlocks all our data. This drives innovation, decision-making, and allows us to better serve our patients, healthcare professionals, and consumers.

This role will provide you the opportunity to lead key activities to progress your

career. These responsibilities include some of the following:

Manage a team of 2-4 data scientist and engineers.

Develop and deliver high quality, analytics and insights using AI/ML and statistical models to uncover business learnings for the US commercial oncology business at the patient, HCP, and health system level aligned with analytical priorities for:

o Customer segmentation

o Brand performance reporting

o Predictive patient modeling

o Propensity score modeling

o Sentiment analysis

o Marketing Mix Modeling

o Omnichannel analytics

o Resource allocation and budget optimization

o Experimental design (test/control) analyses

Develop, deploy, maintain and monitor data analytics automation in enterprise data platforms with9n a CI/CD framework

Work with commercial business reporting owners in developing agent-based AI tools to support analytics automation, delivery and visualization of insights and business focused interrogation of data.

Understand data science opportunities, based on analytical knowledge, needed to deliver innovative solutions to uncover drivers of gaps in understanding of patient unmet needs and HCP prescribing patterns to improve strategic opportunities.

Act as a data science expert, by learning and contributing to the company’s data science community to grow their data skills, build best practices, and grow data science literacy within the organization

Earn the trust of stakeholder partners to drive data-driven decisions through active engagement, advanced analytics expertise, demonstrated learning, and business knowledge.

Establish and define project plans, proactively seek inputs needed to complete results according to plan and deliver milestones according to plan.

Collaborate on cross-matrix teams and demonstrate subject matter expertise with other teams/functions to drive e]iciencies and seamless decision making.

Use storytelling, powerful visualizations to demonstrate power of utilizing data science with business partners and analytics team members which enable fact-based recommendations that inspire usage for data driven decisions

Why You?

Basic Qualification

We are seeking professionals with the following required skills and qualifications to help us achieve our goals:

Master's or PhD in statistics, mathematics, engineering or related analytical field

5+ years of experience applying analytics and statistical skills in a business setting

3+ years of professional experience with analytics tools/languages and visualization tools

Experience in analytics tools/languages such as SQL, Python, PySpark, and visualization tools

Experience working in working in cloud compute environments and Databricks or Snowflake data platforms.

Experience in coding statistical and ML models

Experience with developing and deploying AI agentic processes

Proactively identify areas for analysis, including the potential application for machine learning, and contribute to problem-solving.

Preferred Qualification

If you have the following characteristics, it would be a plus:

Enthusiasm for leveraging Real World Data

Analytical curiosity to develop innovative solutions to solve complex problems.

Effective communicator with strong business acumen knowledge

Understanding of business needs and ability to develop appropriate solutions

Demonstrate teamwork and strong collaborative partnerships

Familiarity with healthcare-related datasets, such as claims data (e.g., IQVIA, Komodo Health),

Experience with modeling treatment line of therapy, patient journey analysis, and HCP prioritization.

Li-the company

AGTech

Requirements

• Algorithms, Data Assessment, Data Cleansing, Data Preprocessing, Exploratory Data Analysis (EDA), Feature Engineering, Hypothesis Testing, Mathematics Modeling, Model Evaluation, Predictive Modeling, Probabilistic Modeling, Reliability Engineering, Statistical Analysis, Statistical Analysis Techniques, Statistical Significance Testing
• Please visit the company US Benefits Summary to learn more about the comprehensive benefits program the company offers US employees.
• Why the company?
• Uniting science, technology and talent to get ahead of disease together.
• The company is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.
• People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
• If you require an accommodation or other assistance to apply for a job at the company, please contact the appropriate Recruitment Staff by emailing us at - the company's site
• Important notice to Employment businesses/ Agencies
• The company does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact the company's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to the company. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and the company. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of the company. The company shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
• Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, the company may be required to capture and report expenses the company incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure the company’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/