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Olema Oncology

Clinical-stage biopharma targeting ER-positive breast cancer

Director – Commercial Data Science

Data ScienceConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's degree in Marketing, Business, Life Sciences, or a related field is required; an advanced degree is preferred.
  • At least 10 years of relevant work experience, including at least 8 years in data science or advanced analytics focused on commercial applications in the biotechnology or pharmaceutical industry.
  • Strong understanding of biotechnology or pharmaceutical market dynamics, patient access, healthcare system intricacies, and regulatory requirements.
  • Ability to develop and implement strategic marketing initiatives using a data-driven approach and strong analytical skills.
  • Excellent verbal and written communication skills, including the ability to convey complex information clearly and empathetically to patients and healthcare providers.
  • Proven ability to work effectively across functions and lead collaborative initiatives with internal and external stakeholders.
  • Organizational skills and experience managing multiple projects, timelines, and priorities in a fast-paced environment.

Responsibilities

  • Work with stakeholders across Insights and Analytics, Marketing, Market Access, Medical Affairs, and Sales to understand business objectives and develop the roadmap and strategic application of data science.
  • Provide data-driven insights and strategic recommendations to support commercialization efforts.
  • Develop and maintain advanced analytical models to inform go-to-market strategies, identify opportunities to improve physician and patient experiences and market access, and drive revenue growth.
  • Analyze and interpret large datasets, including claims, sales, customer relationship management, and marketing data, to uncover insights and provide actionable recommendations to cross-functional teams.
  • Design and execute experimentation and customer behavior analysis to assess commercial strategies and identify opportunities to refine the commercial approach.
  • Apply machine learning and statistical modeling techniques to predict trends, physician behavior, market dynamics, and sales performance.
  • Build and refine predictive models to support local sales planning, market opportunity identification, and resource allocation.
  • Use advanced algorithms to optimize field team effectiveness and identify high-value customers or market segments.
  • Identify opportunities to leverage artificial intelligence to automate work.
  • Create and present clear visualizations and reports to senior leadership, translating complex analyses into actionable insights and business strategies.
  • Provide regular updates and strategic recommendations based on data trends and performance metrics.
  • Develop and implement automated reporting solutions to improve operational efficiency.
  • Work with Information Technology to ensure data pipelines, tools, and dashboards are efficient, scalable, and aligned with commercial needs.

Desired Qualifications

  • An advanced degree.

About the Company

Olema Oncology

Clinical-stage biopharma targeting ER-positive breast cancer

Olema Oncology develops targeted therapies for women’s cancers, with a focus on ER-positive, HER2-negative breast cancer. Its lead drug, palazestrant (OP-1250), blocks and degrades the estrogen receptor (CERAN/SERD) to slow tumor growth, and a second program targets epigenetics with a KAT6 inhibitor in preclinical stages. The company is conducting a Phase 3 trial of palazestrant in combination with CDK4/6 inhibitors and has a collaboration with Novartis to test palazestrant with ribociclib and everolimus. Its goal is to bring palazestrant to market and advance the KAT6 program to clinical testing, expanding options for women with breast cancer.

Company size
51-200
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2007

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