Senior Data Scientist, Commercial

Job Description

General Summary:

Are you excited about the power of AI to transform healthcare? Do you excel in advanced analytics and AI/ML and want to apply your skills to a high-impact product launch with the potential to reach millions of patients? Then we want you on our team!

We're searching for an experienced data scientist who is passionate about AI, statistics, and machine learning to solve real-world business problems. You'll collaborate with cross-functional teams to deliver insights that drive launch success and improve patient outcomes.

Key Duties and Responsibilities:

• Lead technical initiatives that harness diverse data sources to enhance the design & development of AI models, outreach prioritization engines (e.g. Next Best Action), analyze and optimize marketing, and address other related challenges.

• Work closely with a diverse, talented, and collaborative team of AI experts, data engineers, and strategists to develop and deploy cutting-edge solutions for our top business priorities.

• Create compelling visualizations and communicate insights to both technical and non-technical stakeholders, making complex insights accessible and actionable.

• Engage with the broader data science & AI community to keep up with the latest methodologies, software, and data developments.

• Bring your innovative and ethical mindset to work, fostering openness, transparency, and collaboration.

Knowledge and Skills:

• Minimum 2 years of experience as a Data Scientist, ideally with exposure to product launches or commercial AI/ML in healthcare.
• Strong proficiency in Python, SQL, Machine Learning (Random Forest, XGBoost, Deep Learning) and cloud data environments (e.g., Snowflake, Databricks).
• Expertise in statistical modeling, machine learning, and data pipeline development.
• Ability to translate complex data into actionable insights for launch teams.
• Experience with building, deploying, and measuring impact of agentic/Gen AI solutions is highly desirable.
• Experience with healthcare datasets (e.g., EHR, claims, SDoH) is highly desirable.

Education and Experience:

• PhD in a quantitative field (e.g., Mathematics, Statistics, Computer Science) or Master's degree with 2+ years of relevant experience.
• Proven track record applying data science to commercial or clinical problems.
• Familiarity with biopharma or healthcare industry, especially in launch contexts or large and complex markets, is a plus.

If you're ready to take your data science career to the next level and make an impact in healthcare, we want to hear from you! Join us and be part of a team that's driving innovation and improving lives through data.

Pay Range:

Disclosure Statement:

Flex Designation:

Flex Eligibility Status:

In this Hybrid-Eligible role, you can choose to be designated as:
1. Hybrid: work remotely up to two days per week; or select
2. On-Site: work five days per week on-site with ad hoc flexibility.

Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time.

Company Information

Vertex is a global biotechnology company that invests in scientific innovation.

Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com