Olema Oncology is a clinical-stage biopharmaceutical company committed to transforming the standard of care and improving outcomes for patients living with breast cancer and beyond. With our transformation into a fully integrated oncology company well underway, it’s an exciting time to be part of Team Olema.

Our lead product candidate, palazestrant, is a novel, orally available complete estrogen receptor antagonist (CERAN) and selective estrogen receptor degrader (SERD) currently in two pivotal Phase 3 clinical trials. We expect top-line data from OPERA-01, our ongoing Phase 3 trial of palazestrant as a monotherapy in patients with second- or third-line ER+/HER2- metastatic breast cancer (MBC), in Q1 2027 which, if positive, could lead to our first potential approval and commercial launch in 2028. OPERA-02, our Phase 3 trial of palazestrant in combination with ribociblib in patients with frontline ER+/HER2- MBC, is enrolling patients. Together with its mechanism of action, pharmacokinetic properties, and the potential to demonstrate activity in both ESR1 wild-type and mutant tumors, palazestrant could transform the metastatic breast cancer treatment paradigm and provide access to a $15 billion global market opportunity.

Our follow-on product candidate, OP-3136, is a potent KAT6 inhibitor with the potential to generate further value and meaningfully impact the metastatic breast cancer treatment landscape – particularly in combination with palazestrant. We recently presented encouraging Phase 1 monotherapy data from this program across multiple solid tumor types, are advancing patient enrollment in the ongoing combination arms in MBC, and expect to initiate a Phase 1 study of OP-3136 in combination with Bayer’s darolutamide in metastatic castration-resistant prostate cancer by the end of this year.

Aspiring to transform the metastatic treatment paradigm is an ambitious endeavor that requires a resolute approach to developing better therapies and passionate colleagues dedicated to helping the patients we serve feel better, longer. Team Olema possesses a deep commitment to a shared purpose, the sustained pursuit of excellence, cultivating the courage required to advance our programs, the drive to succeed, and a collective capacity for adaptability through learning, growth, and evolution. We are a small group of nimble self-starters who bring consistency in our quest for the extraordinary every single day.

If you’re ready to be part of a tenacious, courageous, agile, and growing team, join us in making a profound impact, together – for our patients, for your career, and for what’s beyond.

About the Role >>> Director, Data Science

As the Director of Commercial Data Science reporting to the SVP of Commercial Strategy and Operations, you will who will play a pivotal role in Olema’s commercialization efforts by enabling strategic decision-making, utilizing advanced data analytics and machine learning techniques to optimize commercial performance. This individual will work cross-functionally to develop the roadmap and strategic application of data science (inclusive of predictive analytics, AI and machine learning). This individual will be responsible for turning complex datasets into actionable insights that enhance the company’s go to market strategies, omnichannel efforts, improve market access, and drive revenue growth.

This role combines the application of data science with a strong understanding of the biotech industry, commercialization, market dynamics, and physician behavior. The ideal candidate is comfortable working with large, multifaceted datasets, leveraging statistical models, and communicating findings clearly and compellingly to non-technical stakeholders.

This role is based out of either our San Francisco or Boston office and will require approximately 20% travel.

Your work will primarily encompass:

Cross-Functional Collaboration & Strategic Leadership

Work with a diverse set of stakeholders, including Insights & Analytics, Marketing, Market Access, Medical Affairs, and Sales teams to understand business objectives to develop the roadmap and strategic application of data science