Senior/Principal Scientist, Computational Biology

Watertown, MA USA

Flagship Pioneering, Inc.

We are Flagship Pioneering We are a biotechnology company that invents platforms and builds companies that change the world. Pioneering Partnerships…

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About Empress:

Empress is a privately-held early-stage biotech company advancing a proprietary platform to generate small molecule drugs faster and more predictably.

About The Role:

We are seeking an innovative Senior/Principal Scientist to contribute to the development and application of our multi-omics computational platform.   In this role you will work closely with bench-side teams throughout the organization, as well as with other computational scientists.  You will apply company pipelines to new and existing data sets across a range of instrumental platforms.  You will conduct novel analyses, improve and extend our analytics capabilities, and bring new computational methods and tools to bear.  You will need to bring a customer-facing mindset to execution, and a research-facing mindset to implementation.  Your work will support key decision-making in late pre-clinical research.

Key Responsibilities: 

  • Conduct analysis of multi-omic data to answer a wide array of biological questions
  • Improve and extend existing pipelines
  • Ideate and implement new computational approaches to novel scientific problems arising from company’s research
  • Identify emerging methods and tools in computational approaches to sequence analysis and lead prototyping and implementation when applicable
  • Lead and collaborate closely with other scientists across team
  • Report results to the scientific team and the management

Requirements:

  • PhD in Computational Biology, Computer Science, Genomics, or a related discipline with 3-7 years post-PhD experience
  • Proficiency in R (required) and Python (desired)
  • Strong understanding of statistics and machine learning, including: GLMs, parametric, non-parametric statistics, classification methods, and unsupervised learning
  • Computational systems biology background a strong plus
  • Demonstrated research experience in transcriptomics and, ideally, other ‘omics modalities
  • Strong understanding of fundamentals of molecular biology
  • Strong background in ‘omic methods including RNASeq workflows, both bulk and single cell including aspects related to QC.
  • Strong visual communications – knowledge of ggplot2, shiny, or similar frameworks desired
  • Experience with HPC, including Nextflow and AWS tools a strong plus
  • Strong communication and presentation skills, capable of conveying technical information in a clear and thorough manner
  • Ability to work with in a fast-paced, entrepreneurial and technical setting

Preferred Qualifications:

  • Experience with MS based methods
  • Experience with single-cell ‘omics
  • Experience with deep learning

About Flagship:

Flagship Pioneering is a bioplatform innovation 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 generation of over 500 patents, initiation of over 50 clinical trials for novel therapeutic agents and an aggregate value of more than $90 billion. 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.

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.

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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Tags: AWS Biology Classification Computer Science Deep Learning ggplot2 HPC Machine Learning PhD Pipelines Prototyping Python R Research Statistics Unsupervised Learning

Perks/benefits: Startup environment Team events

Region: North America
Country: United States

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