Head of Machine Learning and Computational Biology

Posted:
10/29/2024, 4:12:25 AM

Location(s):
Massachusetts, United States ⋅ Cambridge, Massachusetts, United States

Experience Level(s):
Senior

Field(s):
AI & Machine Learning

What if…you could join an organization that creates, resources, and builds life sciences companies that invent breakthrough technologies in order to transform health care and sustainability? 

Prologue Medicines is dedicated to transforming drug discovery by leveraging deep biological insights and cutting-edge scientific innovations. Our mission is to deliver breakthrough therapies that address critical unmet medical needs. As part of our dynamic and collaborative team, you will have the opportunity to impact human health on a global scale. 

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.

Overview

Prologue Medicines is at the forefront of revolutionizing biotherapeutics drug discovery. We are seeking a visionary leader with a deep understanding of computational biology and machine learning and its potential to transform drug discovery. The ideal candidate will have a strategic mindset, with a proven track record of leveraging computational tools to drive innovation in the biotech space, particularly in the realm of protein sequence, structure, and NGS assays. This role will be pivotal in shaping the company's scientific strategy and ensuring its successful execution. 

 

Key Responsibilities

  • Provide strategic leadership in the integration of computational biology and drug discovery, ensuring alignment with the company's overarching vision and objectives. 
  • Collaborate with the executive leadership team to define and refine the scientific strategy, ensuring its alignment with business goals. 
  • Mentor and guide the computational team, fostering a culture of innovation and excellence. 
  • Establish partnerships with academic institutions, Flagship Pioneering companies, and other third parties to stay abreast of emerging technologies and models. 
  • Drive the digital transformation of the business, ensuring best-in-class data infrastructure and analytical workflows. 
  • Communicate strategic insights and recommendations to the board, investors, and other stakeholders. 
  • Foster a collaborative environment, working closely with R&D leaders and program heads to ensure seamless integration of computational tools with experimental workflows. 

 

Minimum Qualifications

  • PhD in computational biology, machine learning, data sciences, or a related field. 
  • 10+ years in the biotech industry with a focus on strategic roles. 
  • Demonstrated leadership in computational structural biology or related fields. 
  • Proven track record of publications in high-impact journals or significant industry contributions. 
  • Strong familiarity with protein structures and their interactions. 
  • Experience in guiding teams in the deployment of machine learning platforms and bioinformatics tools. 
  • Proficiency in cloud environments such as AWS. 
  • Exceptional communication skills, with the ability to convey complex ideas to diverse audiences. 

 

Preferred Qualifications

  • Prior experience in a startup or fast-growing biotech environment. 
  • Experience with protein co-evolution analysis and NGS tools. 
  • Established network within the biotech and computational biology communities. 

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.