Director Scientific Competitive Intelligence & Insights - Oncology (all genders)

Stellenbeschreibung:

Director Scientific Competitive Intelligence & Insights – Oncology (All Genders)

At Bayer, we are visionaries driven to solve the world’s toughest challenges. As the Director of Scientific Competitive Intelligence & Insights, you will transform complex scientific and competitive data into strategic recommendations for our global oncology portfolio, shaping R&D and portfolio decisions.

Location

Berlin, Germany

Responsibilities

  • Generate forward‑looking, strategic insights into competitors, pipelines, and market dynamics, advising global product teams across the entire R&D value chain in oncology.
  • Translate complex scientific and competitor information into actionable recommendations for portfolio, investment, and licensing decisions.
  • Identify opportunities, risks, and disruption signals (e.g., breakthrough therapies, patent cliffs) and provide proactive forecasts on competitor activities.
  • Conduct deep analyses of competitor pipelines, clinical trials, and technologies, developing competitive landscapes, scenario forecasts, and SWOT analyses.
  • Support strategic decisions by delivering executive insights and recommendations for governance meetings.
  • Leverage advanced digital and AI‑based tools (e.g., perplexity) to accelerate data analysis and enable continuous monitoring.
  • Act as a key contact for internal stakeholders and present results effectively to senior leadership.
  • Mentor and develop junior analysts and ensure the quality of CI outputs.

Qualifications

  • University degree, ideally PhD, MD, PharmD, or equivalent in life sciences, with long‑term experience in the pharmaceutical industry, consulting, competitive intelligence, or strategy.
  • Substantial hands‑on experience in oncology competitive intelligence, oncology R&D, or oncology portfolio strategy, with strong knowledge of key peers, emerging modalities, and major clinical and competitive trends.
  • Proficiency in using AI and digital tools and analyzing scientific and competitive data sources.
  • Strong analytical, investigative, and creative thinking skills, combined with decisiveness and agility.
  • Team player, highly motivated, and able to work under pressure.
  • Excellent communication, presentation, and networking skills with confidence in stakeholder management.
  • Excellent written and spoken English skills.

Benefits

  • Competitive salary between €109,800 and €138,500 per year (full‑time) plus a variable component and a global equity‑based cash plan.
  • Hybrid work models or part‑time arrangements with flexibility to work how, when, and where it is best for you.
  • Support for family: daycare centers, childcare assistance, time off for care of elderly or dependent family members, and summer camps for children.
  • Professional growth opportunities: learning and development through the Bayer Learning Academy, coaching, mentoring, and training programs.
  • Health awareness initiatives and free health checks with the company doctor.
  • Diversity and inclusion: an inclusive work environment where you are welcomed, supported, and encouraged to bring your whole self to work.

Additional Information

The role requires regular in‑person collaboration with key stakeholders. Candidates should be based within a reasonable commuting distance of Berlin. Physical presence at the Berlin office is expected, especially during onboarding, scheduled team meetings, and whenever business needs require face‑to‑face interaction.

Bayer welcomes applications from all individuals, regardless of national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, orientation, gender identity, gender expression, or any criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.

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Stelleninformationen

  • Veröffentlichungsdatum:

    24 Aug 2026
  • Standort:

    Berlin

    Einsatzort:

    Leverkusen
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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