š About Lila Sciences
Lila Sciences is the worldās first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.⯠We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method.⯠We are introducingāÆscientific superintelligence to solve humankind's greatestāÆchallenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at āÆwww.lila.aiāÆāÆ
At Lila, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way.
If this sounds like an environment youād love to work in, even if you only have some of the experience listed below, please apply.
š Your Impact at Lila
Lila Sciences is seeking an accomplished and strategic Associate Director, Factory Product to lead the delivery of critical automation initiatives across our life sciences ecosystem. In this high-impact leadership role, you will drive end-to-end execution of complex technical programs, spanning automated biological workflows, cross-functional team coordination, and resource orchestration.
Youāll partner closely with scientific and automation leaders, and product stakeholders to ensure that innovative, high-throughput solutions are implemented efficiently, robustly, and at scale. This role demands a unique blend of strategic foresight, deep technical expertise, and operational excellence in laboratory automation systems and biological process optimization.
š ļø What You'll Be Building
- Lead Product Management: Drive automation workflows for life sciences, translating experimental goals into actionable plans.
- Collaborative Solutioning: Partner with scientific, AI, and automation teams to design workflows that optimize performance and meet research needs.
- Optimize Production: Oversee production timelines and resource utilization, ensuring high-quality, scalable workflows.
- Data-Driven Decisions: Monitor performance metrics, analyze trends, and implement strategies to boost workcell capacity and operational efficiency.
- Cross-Functional Leadership: Prioritize and align projects across teams to meet business objectives, ensuring timely, efficient delivery.
- Risk & Compliance: Identify and mitigate risks, ensuring adherence to regulatory standards and continuous process improvements.
- Continuous Improvement: Address process deviations through root cause analysis, corrective actions, and performance tracking.
š§° What Youāll Need To Succeed
- Relevant Experience: Proven experience in life science, lab automation, software, and data engineeringādelivering high-throughput workflows and automating processes.
- Scientific Expertise: Strong understanding of molecular biology, protein engineering, cell biology, and cell-free expression systems.
- Cross-Disciplinary Collaboration: Ability to engage with diverse teams (e.g., AI, software engineering, and life sciences) and communicate technical concepts across disciplines.
- Automation & Robotics: Hands-on experience with liquid handling robots, high-throughput protein purification, and laboratory automation.
- Analytical & Technical Proficiency: Expertise in data analysis and the ability to use insights to drive decision-making; Python experience a plus.
- Leadership & Influence: Strong communication skills with a track record of motivating and collaborating across teams without direct management authority.
- Project Management: Proven ability to lead complex projects from conception to execution, delivering results on time and within scope.
- Process Optimization: Familiarity with Lean, Six Sigma, or similar methodologies to drive operational improvements.
⨠Bonus Points For
- Working knowledge of scripting/programming languages used in automation (e.g., Python)
š Weāre 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.
š¤ 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 Scienceās 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.