Computational Biologist

Posted:
9/18/2024, 2:53:36 AM

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

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
AI & Machine Learning ⋅ Data & Analytics

Flagship Pioneering is a biotechnology company that invents and builds platform companies that change the world. We bring together the greatest scientific minds with entrepreneurial company builders and assemble the capital to allow them to take courageous leaps. Those big leaps in human health and sustainability exponentially accelerate scientific progress in areas ranging from cancer detection and treatment to nature-positive agriculture.   

 What sets Flagship apart is our ability to advance biotechnology by uniting life science innovation, company creation, and capital investment under one roof in a way that is largely without precedent. Our scientific founders, entrepreneurial leaders, and professional capital managers are each aligned around an institutionalized process that enables us to innovate and transform for the benefit of people and planet.   

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. 

Position Overview 

We are seeking a enthusiastic and self-driven Computational Biologist to join our Digital Science team. This role involves developing and deploying data-driven solutions that align with our digital strategy and help support our early-stage explorations and new ventures. The ideal candidate will balance the buy vs. build approach, be resourceful, and continuously seek opportunities to learn and improve, and actively contribute to organizing meetings and engagements within the Flagship community. 

Key Responsibilities 

  • Scientific Analysis: Conduct multi-omic analyses of samples, support experimental design, scientific strategy, and communicate those results effectively. 
  • Technology and Methodology Awareness: Stay updated on the latest in commercial, open-source technologies and publications to ensure innovation, efficiency and provide recommendations 
  • Data Sourcing: Identify and integrate high-value third-party datasets to accelerate scientific progress that could benefit the portfolio 
  • AI Collaboration: Work closely with AI/ML teams to apply advanced solutions to complex scientific problems. 
  • Community Building: Help initiate, assist and organize various technical Flagship community events and learnings (such as trainings, best practices, etc) 

 

Qualifications 

  • PhD or MS degree in computational biology, bioinformatics, data science, or a related field, with equivalent experience. 
  • Strong background in statistics, with experience applying statistical methods to biological data. 
  • Proficiency in machine learning frameworks (e.g., PyTorch, TensorFlow, MLflow) and omic data analysis. 
  • Experience in software engineering, including Python, R, and workflow orchestration tools (e.g., Nextflow, Metaflow). 
  • Experience in using various AWS resources like S3, EC2, AWS Batch etc.. 
  • Resourceful, adaptable, and committed to continuous learning and improvement. 
  • Excellent communication skills, with the ability to present results clearly to diverse audiences. 
  • Ability to thrive in a fast-paced, multidisciplinary biotech environment.  

Values and Behaviors 

We seek individuals who are resourceful, pragmatic, and continuously looking to improve. A product-focused approach, strong communication skills, and the ability to work effectively in a dynamic, cross-functional team environment are essential. The role's level will be commensurate with the candidate's education and experience. 

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.

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