Director, Commercial Data Science

Posted 24 Days Ago
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Hampton, NJ, USA
In-Office
Senior level
Information Technology • Biotech • Consulting • Pharmaceutical
The Role
Leads commercial data science strategy, analytics projects, and a data science team supporting pharma product launches. Develops predictive models, AI-powered tools, provider targeting algorithms, and advanced analytics using claims, CRM, payer, and market data. Owns commercial KPIs, data warehouse integration, product roadmaps, and AI-augmented workflows. Partners with IT, Medical Affairs, Sales, Access, Marketing, and executive stakeholders while ensuring responsible AI practices and biopharma compliance.
Summary Generated by Built In

At Slipstream we work to streamline IT Support and provide managed solutions with a strategic consulting and global leadership management approach. Our solutions are designed exclusively for emerging pharma and biotech organizations.

Slipstream’s industry-leading solutions free clients from the demands of internal IT and allow them to rapidly advance their mission. Led by a leadership team that has been together for over 10 years, you will join a proven team, culture, and strategy to drive innovation within the IT outsourcing industry while developing your skillset with the opportunities for internal growth.

Job Summary:

Reporting to the Senior Director of Commercial Insights and Analytics, the Director of Data Science will be critical in shaping product market opportunities. This position will be the in-house expert on the commercial data warehouse, AI and machine learning, predictive modeling, and advanced analytics. This role will ensure the business can proactively create systems and functionality that will allow the Medical Affairs, Sales, Access, and Marketing team to operate efficiently during the product launch and thereafter.

Key Responsibilities:

  • Drive analytics projects end-to-end while working as a core member of the Brand team
  • Inspire, lead, and grow a team of data scientists to fulfill the company’s long-term vision and goals
  • Use data to quantify opportunities, determine present and future challenges, and shape the market strategy for product indications
  • Design, develop, and validate algorithms to identify healthcare providers and institutions that are likely to prescribe product using a hypothesis-driven approach
  • Guide the integration of diverse data sources as needed (claims, CRM, digital, payer, market research, third party sources) for end-to-end analytics to solve challenging problems
  • Actively influence the design of launch and post-launch KPIs for the commercial organization
  • Own the development of AI-powered tools that can enhance Sales and Medical Affairs interactions with providers (e.g., Provider briefings, next best action, NLP-powered summaries)
  • Champion the use of AI and generative AI tools (e.g., Claude and similar platforms) to accelerate the development and delivery of data analyses, statistical models, and dashboards, including automating exploratory analysis, code generation, and documentation to speed time-to-insight
  • Build team capability in AI-augmented data science practices, establishing standards and guardrails for responsible use of AI tools in analytics workflows
  • Serve as the trusted strategic partner between IT and the I&A unit

Qualifications:

  • BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or MS/PhD in a quantitative discipline with relevant working experience.
  • At least 7 years of related work experience (4+ years with an MS/PhD)
  • Strong experience in leveraging AI to develop and deliver data analysis and data science work. Must have direct, hands-on experience building with Claude or a similar AI platform (e.g., agentic workflows, AI-assisted coding, prompt engineering) to accelerate modeling, analysis, and reporting.
  • Track record of embedding AI/ML tools and generative AI copilots into the data science lifecycle to improve speed and quality of insight delivery to business stakeholders
  • People management, including either direct or indirect reports
  • Experience leading cross-functional delivery and influencing exec stakeholders
  • Telling data-driven stories that allow teams and/or companies to develop internal strategy based on clear insights and recommendations
  • Proven ability to develop and deliver a product roadmap
  • Expert in Python, R, SQL, and at least one modern ML framework
  • Experience with cloud platforms and APIs
  • Deep experience with data stack components – SQL warehouse (Snowflake/Databricks/Redshift), orchestration (Airflow/DBT), BI (Tableau/Power BI)
  • Strong knowledge of biopharma data and compliance considerations
  • Travel up to 10%

Slipstream is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation or identity, national origin, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Slipstream makes hiring decisions based solely on qualifications, merit, and business needs at the time.

This job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at any time at the sole discretion of the Employer.

Skills Required

  • Bachelor’s degree in a quantitative discipline, or a master’s or doctoral degree in a quantitative discipline with relevant work experience
  • At least 7 years of related work experience, or 4 or more years with an MS or PhD
  • Hands-on experience building with Claude or a similar AI platform, including agentic workflows, AI-assisted coding, or prompt engineering
  • Experience embedding AI, machine learning tools, and generative AI copilots into data science workflows
  • People management experience, including direct or indirect reports
  • Experience leading cross-functional delivery and influencing executive stakeholders
  • Ability to communicate data-driven insights and recommendations to support organizational strategy
  • Proven ability to develop and deliver a product roadmap
  • Expertise in Python, R, SQL, and at least one modern machine learning framework
  • Experience with cloud platforms and APIs
  • Deep experience with SQL warehouses such as Snowflake, Databricks, or Redshift
  • Experience with orchestration tools such as Airflow or dbt
  • Experience with business intelligence tools such as Tableau or Power BI
  • Strong knowledge of biopharma data and compliance considerations
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The Company
260 Employees
Year Founded: 2020

What We Do

Slipstream is a trusted technology partner exclusively serving the life sciences industry. The company provides pragmatic, scalable, and compliant technology solutions, including IT outsourcing, managed services, and consulting for pharmaceutical and biopharmaceutical companies. Their mission is to empower these organizations to accelerate research, optimize time to market, and improve patient outcomes through AI-enabled delivery and deep industry expertise.

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