Research Associate, Computational Biology - Flagship Labs 69, Inc.

Posted on February 12,

Company Summary:
FL69 Inc. is a privately held, early-stage biotechnology company with the vision to revolutionize the human therapeutic landscape, based in Kendall Square, Cambridge, MA. FL69 Inc. was founded by Flagship Pioneering, a team of entrepreneurial scientists that conceives, creates, resources, and grows first-in-category life sciences companies. Since 2000, Flagship has created over 75 groundbreaking companies that are pioneering novel and proprietary biological, industrial, and engineering approaches to solve major needs in human health and sustainability. These companies include Moderna Therapeutics (NASDAQ:MRNA), Seres Therapeutics (MCRB), Syros Pharmaceuticals (SYRS), Rubius Therapeutics (RUBY), Evelo Biosciences (EVLO), Kaleido Biosciences (KLDO), and Indigo Agriculture. FL69 Inc. is a highly dynamic, entrepreneurial, and innovation-driven organization seeking to hire an exceptional scientist to join our team.
Position Summary:
FL69 is seeking an innovative and highly motivated research associate with expertise in computational biology and data science to play a vital role in the company’s efforts to discover new therapies. This individual will contribute scientific and computational expertise to a multidisciplinary team, emphasizing conceptualization, experimentation, data analysis, presentation, and strategic planning. The ideal candidate for this position will have a strong background in computational biology and be enthusiastic and capable of working in a multidisciplinary team in the biosciences.
Key Responsibilities:
• Work both independently and as part of a collaborative team to design, plan and execute computational analyses that support ongoing research and development
• Serve as a key contributor in the development of computational pipelines used to identify new therapeutics
• Plan and execute computational analyses and communicate results to scientific team and executive management
• Proactively review literature and documentation to identify new ideas, methods, and technologies to drive forward research programs
Minimum Qualifications:
• MS, or BS with 1+ years of industry experience in computational biology, bioinformatics, genomics, or related fields
• Prior industry or academic research experience, especially in computational biology, bioinformatics software engineering or data science
• Good background knowledge cellular and molecular biology
• Working knowledge of at least one scripting language such as Python or R
• Experience in data visualization
• Excellent communication and presentation skills; ability to convey technical information in a clear and thorough manner
• Good documentation habits
• Strong collaborative skills with evidence of working in a team
Preferred Qualifications:
• Proficiency in Python or R, including familiarity with plotting/data visualization libraries
• Experience with Unix, especially in cloud/cluster environments
• Experience with Next-Generation Sequencing
• Machine learning and/or data science experience
• Experience with reproducible computational research (version control, documentation, etc)
• Confident execution, focus, and an ability to thrive in a team-oriented entrepreneurial environment
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.
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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