Your Impact at LILA
The Analyst, Corporate Strategy sits at the center of how Lila Sciences thinks about its future. This is a high-visibility, high-impact individual contributor role within the Strategy and Corporate Development function. The team is small, senior, and fast-moving.
You will support the full range of the function's work: corporate strategy development, competitive intelligence, M&A and corporate development, enterprise and strategic planning, and OKR-linked incentive tracking. You will work directly with senior leaders across the company and have regular exposure to board and investor-level materials.
This role is well-suited to someone early in their career who is intellectually curious, operates with strong analytical rigor, and is energized by working at the intersection of science, technology, and business strategy.
What You'll Be Building
- Synthesize market, competitive, and internal data to support strategic decision-making
- Build and maintain structured analyses, frameworks, and presentations for senior leadership and board audiences
- Track emerging trends in AI, life sciences, and physical sciences relevant to Lila's strategic positioning
- Support deal processes including landscape mapping, initial screening, and diligence preparation
- Maintain competitive intelligence across key market segments, including company tracking, partnership activity, and technology developments
- Build and refresh comp sets and market benchmarks in support of M&A and partnership evaluation
- Support the annual strategic planning cycle, including data gathering, cross-functional synthesis, and documentation
- Assist in OKR infrastructure: tracking, reporting, and maintaining the linkage between role-level objectives and company-level priorities
- Produce clean, accurate outputs for leadership reviews and planning offsites
What You'll Need to Succeed
- 4+ years of experience in corporate strategy, management consulting, investment banking, or a related analytical field
- Strong academic background; undergraduate degree from a rigorous institution required
- Exceptional analytical skills, including financial modeling, data synthesis, and structured problem framing
- Clear, concise written and verbal communication; ability to distill complex information into crisp outputs
- High degree of ownership and follow-through; this is a role for someone who runs things to completion without needing to be managed closely
- Comfort operating in ambiguous, fast-moving environments with shifting priorities
- Prior exposure to M&A processes, due diligence, or transaction support
- Familiarity with OKR frameworks or enterprise planning processes
Bonus Points For
- Experience producing materials for board or investor audiences
- Proficiency with data visualization or BI tools (e.g., Tableau, Looker, or equivalent)
- Background in or genuine interest in life sciences, biotech, or deep tech industries
- Advanced degree (MBA or equivalent) a plus but not required
Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We’re All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
Skills Required
- 2 to 4 years of experience in corporate strategy, management consulting, investment banking, or a related analytical field
- Strong academic background; undergraduate degree from a rigorous institution
- Exceptional analytical skills, including financial modeling, data synthesis, and structured problem framing
- Clear, concise written and verbal communication skills
- High degree of ownership and follow-through
What We Do
Lila is a technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method.
