This is an exciting opportunity to join a fast-paced, growing FRO startup, which is still in stealth. We are looking for a Computational Biologist/Statistician/Machine learning scientist with experience in the computational modeling and analysis of large-scale biological datasets. The successful candidate will develop novel mathematical, simulation, and machine-learning methods to advance the understanding of the adaptive immune system. You will work closely with other computational and experimental scientists to develop groundbreaking new insights into adaptive immunity.

Responsibilities

• Develop mathematical, computational, and machine learning approaches for modeling large-scale immune receptor sequence and/or structural data
• Develop novel simulation frameworks for immune repertoire analysis
• Perform deep and detailed analyses for data-intensive experiments
• Prepare large-scale datasets for internal and external usage
• Demonstrate a commitment to diversity, inclusion, and cultural awareness through actions, interactions, and communications with others
  
  
  

Qualifications

• Ph.D. in computational biology, mathematics, statistics, computer science, or related fields is required
• Proven track record of developing computational analyses for biological data
• Background in machine learning
• Proficiency with Python/C/R, associated analyses and visualization packages, as well as command line
• Proficiency in high-performance computing
• Expertise with good practices for reproducible research (git, Jupyter)
  
  
  

Advanced Qualifications (experience in one or all of the following is preferred, but not required):

• Expertise with sc-RNAseq data analysis
• Expertise in (adaptive) immunology
• Expertise in immune receptor biology and data analysis
• Experience with cloud computing platforms
  
  
  

We offer

• Competitive compensation: $90,000 - $120,000 a year
• Excellent medical, dental, and vision insurance
• Generous time off + paid holidays
• A supportive environment to learn and develop new skills
• An opportunity to participate in high-impact, fast-paced, cutting-edge, collaborative team science; contribute to curing disease; and work with leading experts from different fieldsExciting location in the Soho area of Manhattan
  
  
  

The Company aims to help fill a structural gap in today's R&D system. We enable fundamental research that requires unusual levels of scale and coordination yet is not rapidly monetizable by industry. We’re bringing together top talent from academia, industry, and startups to build a new model for innovative R&D. As an incubator within the Schmidt Futures Network, we identify high-impact scientific or technical research and development opportunities, ultimately defining and launching these projects as Focused Research Organizations.

The Company is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. We do not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other characteristic protected by applicable local, state, or federal law or Company policy. We strive for a healthy and safe workplace and strictly prohibit harassment of any kind.