Senior Machine Learning Scientist

COMPANY DESCRIPTION

Mirai Bio, Inc is a Flagship backed, privately held biotechnology company on a mission to transform the current approach to information molecule therapeutics to unlock their full therapeutic potential. In recent years, we have begun to experience the power of information molecules in treating historically undruggable diseases and in designing therapies with unprecedented turnaround times. Mirai’s platform integrates nanoparticle development with world-class informatics technologies and a novel pipeline of experimentation and discovery to drive a new generation of highly effective, therapeutically relevant information molecule therapies. We are seeking collaborative, relentless problem solvers that share our passion for impact to join us!

Mirai was founded by Flagship Pioneering. Flagship Pioneering conceives, creates, resources, and develops first-in-category life sciences companies to transform human health and sustainability. Since its launch in 2000, the firm has applied a unique hypothesis-driven innovation process to originate and foster more than 100 scientific ventures, resulting in over $30 billion in aggregate value. The current Flagship ecosystem comprises 37 transformative companies, including: Moderna Therapeutics (NASDAQ: MRNA), Rubius Therapeutics (NASDAQ: RUBY), Indigo Agriculture, and Sana Biotechnology (NASDAQ: SANA).

THE ROLE

Mirai Bio is seeking a highly talented individual to develop novel ML approaches to optimize in vivo therapeutic delivery vehicles. They will work cross-functionally to identify and test therapeutic candidates to enable Mirai’s next generation genomic medicines. The successful candidate will implement strategies to overcome limitations of current nucleic acid delivery approaches and will have a strong understanding of targeted information molecule delivery. A successful candidate will have strong familiarity with active learning, multi-objective optimization and experience with chemoinformatic libraries. The candidate will also be expected to collaborate extensively with experimental teams.

KEY RESPONSIBILITIES

• Design, build, and scale supervised ML models for active learning and Bayesian Optimization of lipid nanoparticle (LNP) formulation, synthesis, and in vivo performance
• Develop and implement best practices for uncertainty quantification in LNP potency and biodistribution
• Integrate multi-fidelity datasets (in silico and in vivo) to accelerate data-driven discovery of novel LNP chemistries
• Collaborate with computational scientists to identify design pathways for LNPs that achieve targeted functional properties (e.g., potency, tissue tropism, tolerability) and guide their synthesis
• Work with infrastructure and automation teams to streamline real-time data transfer between predictive models and experimental platforms
• Partner with experimental teams to drive iterative LNP design–make–test–analyze (DMTA) cycles, including development of domain-specific acquisition functions for multi-objective optimization
• Communicate findings to stakeholders and leadership through written reports and technical presentations

PROFESSIONAL EXPERIENCE & QUALIFICATIONS 

• PhD in Computer Science, Applied Mathematics, Bioengineering, Chemical Engineering, or a related quantitative field with a strong ML focus
• 4+ years of ML-based in industry and/or academic settings
• Strong experience with uncertainty quantification, active learning, and Bayesian Optimization in drug delivery, materials science, or related fields
• Proficiency in ML frameworks (PyTorch/TensorFlow/JAX) and the Python data science ecosystem (NumPy, SciPy, Pandas, etc.)
• Hands-on experience with cloud computing (e.g., AWS, GCP, Azure) to accelerate model training and deployment
• Strong independent problem-solving ability and attention to detail
• Demonstrated achievement in industry or academia (publications, patents, or successful ML-driven projects)
• Excellent communication and presentation skills for both technical and interdisciplinary audiences
• Enthusiasm for working with cross-functional teams of experimentalists, engineers, and computational scientists in a fast-paced, entrepreneurial environment

Preferred Qualifications

• Experience with AWS services for ML training, workflow orchestration, and data management
• Familiarity with integration of ML models into experimental workflows
• Background in drug delivery, lipid chemistry, or nanoparticle formulation

ABOUT FLAGSHIP PIONEERING

Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies. Many of these companies 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.

At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact.

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

We recognize that great candidates often bring unique strengths without fulfilling every qualification. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest in Flagship.

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.

#LI-LD1

The salary range for this role is $168,000 - $258,500. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Mirai Bio currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Mirai Bio’s good faith estimate as of the date of publication and may be modified in the future.