Flagship Labs 72, Inc. (FL72) is a well-funded, early stage biotechnology company founded by Flagship Pioneering that is pioneering a novel immune therapeutic platform. FL72 was founded through Flagship’s venture creation engine, where companies such as Moderna Therapeutics (NASDAQ: MRNA), Rubius Therapeutics (NASDAQ: RUBY), and Editas Medicines (NASDAQ: EDIT) were conceived and created. Since Flagship’s founding in 2000, the firm has originated and fostered the development of nearly 100 scientific ventures resulting in $20+ billion in aggregate value, 500+ issued patents, and more than 50 clinical trials for novel therapeutic agents.
Flagship Labs 72 (FL72) is seeking a broadly trained scientist to drive our understanding of how immunity can be architected in support of our novel therapeutic platform. They will drive the novelty of our platform equally through computational and preclinical sciences. They will generate and interrogate wide immune phenotyping data to paint a picture for what’s achievable, what’s possible, and then collaborate with other world class scientists and experts driven by impact to optimize our platform.
You’ll be pioneering with us all along the way, so we’re looking for someone who has truly mastered the basics in two challenging areas: immunology and machine learning. You’re probably equally at home with manipulating graphical models as with taking a holistic view to how immune cells are recruited, cooperate, and achieve physiological effect. We’re looking for someone who knows enough to have informed collaborations with a wide range of other scientists, but who is nondogmatic about “how the immune system works” and is willing to be radically empirical.
Because we’re developing a new therapeutic platform, we need someone who has demonstrated high-quality judgement and clarity of thinking under pressure. Your judgement will be vital in ensuring that we prosecute the right targets and indications to reveal the fullest benefit of our platform, and that we do this without getting hung up on idiosyncratic biology.
Our ideal candidate has significant experience in immuno-oncology, infectious diseases, or vaccinology taken together with a robust understanding of machine learning methods. These skills (or similar ones) are in rare combination and may have come from an unusual background or unconventional career path – we are open minded about the origin of excellence. Preference will be given to candidates who have experience in driving wet lab science through machine learning guided experimentation (e.g. active learning).
This person should have at least an undergraduate degree in a quantitative science together with scientific curiosity that’s been put to use towards modeling how the immune system (or other complex cellular processes) are architected, and are passionate about quantitative sciences. A PhD, MD or equivalent is helpful but not required if depth in immunology can be demonstrated.
Someone that is conversant with causal inference in practice – it’s limitations, what generally constitutes valid inference, and has a flair for creative experiment design
Strong understanding of the qualitative differences in evidence required to progress in small molecule, biologics, and vaccine domains
A humble learner and an aggressive do-er
Someone that values true data driven decision making, and understands how to speculate around uncertainty
Flagship Pioneering 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.