Company Summary

Lila Sciences is a privately held, early-stage technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method. Lila is backed by Flagship Pioneering, which brings the courage, long-term vision, and resources needed to realize unreasonable results. Join our mission-driven team and contribute to the future of science.

Our Life Sciences effort is leveraging AI and high-throughput automation for valuable therapeutic discovery and development across biological modalities.

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 you’d love to work in, even if you only have some of the experience listed below, please apply.

The Role:

Lila Sciences is seeking an Optimization and Scheduling Engineer (Engineer II) to join our software platform team, focusing on a range of optimization challenges including scheduling. This role is part of our software team that builds internal tools that support lab operations. The ideal candidate will have at least 5 years of experience in optimization and a comprehensive understanding of developing and implementing advanced solutions. Our team emphasizes shared responsibility and strong collaboration with stakeholders to drive operational excellence.

Responsibilities:

• Collaborate closely with engineers, production managers, and other stakeholders to understand requirements and define optimization strategies.
• Design, develop, and maintain robust optimization models for scheduling and other applications.
• Write code to develop and test optimization algorithms and solutions.
• Collaborate with software engineers to integrate optimization models into production systems.
• Enhance and maintain optimization processes to streamline operations and improve resource utilization.
• Ensure best practices in model development and implementation, including version control, model validation, testing, documentation, and monitoring.
• Troubleshoot and resolve issues related to scheduling models and solutions reported by users.
• Support and train internal users on optimization tools and methodologies.
• Provide guidance and expertise to team members, promoting a culture of continuous learning and improvement.
• Stay current with industry trends, emerging technologies, and best practices in optimization and scheduling.

Qualifications:

• Experience: Minimum of 3-5 years of experience in optimization, with a specific focus on job shop scheduling challenges.
• Technical Skills: Proficiency in optimization tools and programming languages such as CPLEX, Gurobi, Python, R, or MATLAB. Google OR-Tools. Familiarity with scheduling software and principles is a plus. 
• Problem-Solving Skills: Strong analytical and problem-solving skills, with the ability to synthesize complex information and develop creative, effective solutions.
• Communication Skills: Excellent oral and written communication skills, capable of conveying technical concepts to non-technical stakeholders.
• Project Management: Ability to manage multiple projects simultaneously, prioritize tasks, and deliver results within strict deadlines.

Preferred Qualifications:

• Background in software for scientific domains such as biology, chemistry, or materials.
• Industry Experience: Experience in manufacturing, logistics, or production environments
• Certifications: Relevant certifications in optimization, operations research, or advanced scheduling tools are a plus.

Working at Lila, you would have access to advanced technology in the areas of:

• AI experimental design and simulation
• Automated liquid handling and instrumentation
• Generative molecular design

More About Flagship Pioneering

Flagship Pioneering is a biotechnology company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture.  Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies, and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.

Flagship Pioneering and our ecosystem companies are 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.

At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.

Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.