Director, Market Growth Strategy, Molecule to Market (Biologics)

Responsibilities

• - Customer engagements: meeting research leaders and scientists, joining pursuits, and bringing what you hear back to the business
• - Market analysis: sizing segments, tracking competitors, and spotting trends early
• - Sales enablement: giving teams across regions the talk tracks, battlecards, demo narratives, and proof points to win
• - Solution marketing: partnering with the Siemens Solution Marketing team on content, campaigns, events, and messaging for the biologics research audience
• - Thought leadership: working with industry thought leaders, inside and outside Siemens, to shape the conversation on AI driven discovery and the future of the research lab
• - Adoption and AI use cases: identifying, proving, and spreading the use cases that get scientists using Luma and putting AI to work on their data
• - Cross organization alignment: working across Siemens DISW and DI Automation teams so we show up as one company with one story for the biologics research market
• - Own the market growth strategy for Luma in biologics research, including antibody discovery, protein engineering, lead optimization, and developability
• - Define target segments, buyer personas, and priority accounts, including Heads of Biologics Research, Discovery Biology, Protein Sciences, Antibody Engineering, Research IT, and Lab Automation
• - Build positioning and messaging that speaks to bench scientists, research leaders, and executives

Requirements

• - We are looking for people who have 10 or more years in life sciences, with hands on biologics research experience in a pharma, biotech, or research institute setting
• - Strong analytical skills, including sizing markets and building a business case
• - Excellent writing and presentation skills
• - ideally hold a degree in biology, biochemistry, bioengineering, or a related field
• - Advanced degree strongly preferred, and a PhD is a plus

Preferred

• - Experience running or supporting a biologics discovery team
• - Experience with lab automation, high throughput screening, or self driving lab concepts
• - Experience with AI, machine learning, or data platforms in a scientific setting
• - Existing relationships with industry thought leaders, analysts, or research institutes
• - Prior time at a biotech or in a discovery organization at a large pharma

Benefits

• - Medical, Dental, Vision, Insurance
• - Health Spending Accounts
• - Wellness Benefits (Mental Health Apps and Fitness Perks)
• - Company-paid Life and Disability Insurance
• - 401k Retirement Plan (with 4% company match; immediate vesting)
• - Flexible Time off Plan (for US exempt employees)