Senior Healthcare Data Scientist

Job Description

Are you passionate about using data to take on business challenges? Do you have experience in healthcare specific data analytics and applied statistics? Are you looking for an opportunity to address interesting business questions in the life sciences and grow your skillset by working on a collaborative team? You might be the person we are looking for.

Our corporate data science, data engineering and product team is looking for a data scientist with experience in Healthcare Real-World Data (RWD), machine learning, statistics, and a real passion for addressing business needs through data analysis and solutions. You will work on a highly collaborative, centralized team of data scientists, engineers, and strategists to deliver analytical insights and data products that drive value and impact for our highest priority business needs. You’ll work side-by-side with internal partners across development, clinical, commercial, and general and administrative areas to develop creative solutions that contribute meaningfully to our business and patients.

Responsibilities:

• Collaborate with a centralized team of data scientists/engineers/strategists and cross-functional partners to conceptualize, develop, and deploy data science solutions for highest priority business problems and to design and execute A/B tests to quantify the value of these solutions
• Be the primary technical lead focused on creative use of diverse data sources to solve business problems, such as clinical operations data, Electronic Health Record (EHR), insurance claims data, and/or other provider and patient-level data
• Build and deliver compelling data visualizations and outputs to communicate findings to technical collaborators, non-technical audiences, and business leaders
• Participate in the broader data science community to stay current with methodology, software, and data development and availability
• Bring an entrepreneurial and ethical mindset, openness, transparency, and collegiality to your work

Minimum Qualifications:

• PhD in Statistics, Biostatistics, Epidemiology, Health Economics, Computer Science, Clinical/Biomedical Informatics or a related computational and quantitative discipline, or a Master’s degree (scientific field of study) and 3+ years of relevant experience.
• Domain knowledge in clinical data, Real-World Data (EHR, insurance claims, e.g. Clarivate DRG, MarketScan, IQVIA, TriNetX, Optum, Premier), and/or related data sources
• Expertise in programming languages (e.g. Python, R, SQL, JavaScript), version control, and other data science related tools (e.g. D3, AWS, dbt)
• Extensive experience with statistical/analytical methodologies and machine learning algorithms (e.g. classification, regression, clustering, feature selection/engineering, deep learning, time-series analysis, network analysis, hypothesis testing)
• Comfortable working with both technical and non-technical staff in a fast-paced environment to come up with solutions/algorithms and create working prototypes
• Ability to build and manage relationships with various cross-functional collaborators and stakeholders across the company
• Exceptional communication skills and ability to present findings to non-technical audiences with effective data visualization approaches

Preferred Qualifications: 

• Knowledge of the biopharma or healthcare industry
• Experience with LLM prompt engineering and familiarity with creating LLM-based solutions and architectures such as retrieval-augmented generation
• Experience with developing advanced data visualizations and dashboards (e.g. Dash, Streamlit, R Shiny and front-end frameworks such as Flask and Angular) in business settings

Familiarity with data product UX/UI design and testing

Flex Designation:

Hybrid-Eligible Or On-Site Eligible

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

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