About The Role
At Apriori Bio, we have built our unique technology platform Octavia™ to help survey viral landscapes and improve vaccine design towards increased efficacy and breadth. This role will serve as a critical part of this effort, sitting on the Modeling and Analytics team that builds our platform’s inferential modeling backbone. You will partner with our wet-lab scientists as well as our broader computational team to develop innovative machine learning approaches predicting the ability of antigens to evade existing immunity, thus enabling the design of the next generation of variant-resilient vaccines. In this cross-functional role, you will have the opportunity to utilize our in-house and external databases, generating data-driven insights, and contributing to the expansion and refinement of Octavia™.
Core Responsibilities:
- Integrate varied data sources to construct diverse classifiers/regressors.
- Develop predictive and generative Artificial Neural Networks (ANNs).
- Collect, refine, and combine public and internal datasets to pre-train machine learning models.
- Execute comprehensive testing, documentation, and model benchmarking.
- Collaborate with diverse teams to convert ML model predictions into vetted antigens.
- Create clear, user-friendly visualizations.
- Regularly present scientific progress in research and executive team meetings and create comprehensive reports and slides for widespread communication.
- Uphold data management integrity and reproducibility through established software engineering best practices.
- Monitor cutting-edge technologies and models and identify potential collaboration opportunities across the Flagship Ecosystem.
Qualifications and Skills:
- Ph.D. in life sciences or a quantitative field.
- Demonstrable extensive experience or study in statistical modeling and machine learning.
- Proven expertise in developing deep learning models.
- Proficiency in writing production-standard Python code.
- Familiarity with collaborative coding and live codebase contributions using git.
- Knowledge in at least one ML framework (PyTorch/TensorFlow/Jax).
- Experience with training and deploying ML models on distributed computing services (e.g. AWS/GCP/Azure).
- General proficiency with cloud platforms, specifically AWS.
- Effective working in fast-paced, highly collaborative, and matrixed teams.
- Exceptional communication skills, especially with requirements gathering and data presentation.
Preferred Additional Skills:
- Familiarity with immunology, vaccinology, or infectious disease concepts.
- Previous experience in a biotech startup.
- High-performance computing experience.
- Knowledge of anomaly detection methods, structural biology visualizations, and data modeling.
- Familiarity with cloud native tools such as AWS s3, glue, batch, and ec2.
- Understanding of DevOps, change management, and technical documentation concepts.
- Ability to communicate effectively across various platforms, such as Jupyter notebooks, PowerPoint, Teams, and verbal discussions.
About Flagship
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.
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
