Principal Data Scientist, Digital & AI

Job Description

General Summary:

Are you a data scientist with experience in natural language processing, generative AI, machine learning, and advanced analytics, and looking to apply your expertise in a collaborative and intellectually stimulating environment? Are you passionate about the future of healthcare?  

Our enterprise data science team is looking for a Boston- or London-based data scientist with experience in using generative AI methods to solve complex business problems and a passion for addressing business needs through data analysis and solutions. You will work on a highly collaborative 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 to apply advanced analytics and generative AI to complex, high-value business problems and digital solutions to deliver measurable decisions and outcomes that contribute meaningfully to our business and patients.

Key duties and responsibilities:

• Collaborate with a team of data scientists, engineers, and strategists and our cross-functional partners to conceptualize, deploy, and evaluate custom data science solutions for business problems using generative AI, NLP, machine learning, and other advanced analytical methods

• Design and execute impact measurement plans (e.g. A/B tests) to quantify the value of these solutions

• Lead quantitative assessment and insight generation for enterprise document ecosystem

• Develop advanced insights related to enterprise adoption of generative AI tools such as custom agents

• 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: 

• Bachelor’s, Master’s, or PhD degree in a computational or quantitative discipline, including but not limited to data science, statistics, computer science, computational linguistics, biomedical informatics, neuroscience, physics, epidemiology, health economics

• 5+ years of experience developing data science solutions in an industry or academic context, with 2+ years of experience integrating generative AI methods into document solutions (e.g. custom document generation, summarization, QC)

• Expertise in programming languages (e.g. Python, R, SQL, JavaScript), version control, and other data science related tools (e.g. Snowflake, Databricks, Azure/Foundry, dbt) 

• Expertise in working with natural language data and building text-based products, using both classic and state of the art NLP techniques (e.g. text mining, word embeddings, transformer-based models) 

• Experience with LLM prompt engineering and familiarity with LLM-based workflows/architectures such as retrieval-augmented generation, multi-agent architectures

• 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)

• Exceptional communication skills and ability to present findings to non-technical audiences

• Experience in effective data visualization approaches and a keen eye for detail in the visual communication of findings 

• Demonstrated history of adherence to highest standards of data ethics 

Preferred Qualifications: 

• 4+ years of industry GenAI data science experience

• Familiarity with LLMOps, including deployment, monitoring, and maintenance of GenAI data solutions

• Prior experience with using advanced analytics and/or developing advanced data visualizations in business settings 

• Familiarity with data product UX/UI design and testing

• Prior exposure to clinical data, real-world data (EMR, claims), manufacturing or supply chain data, or life sciences-related research data

• Knowledge of the biopharma or healthcare industry

#LI-HYBRID

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. 

#LI-Hybrid
 

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 [email protected]