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Computational Biologist
Posted on 4/7/2022
INACTIVE
Locations
Cambridge, MA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Data Science
Data Structures & Algorithms
Management
R
Pytorch
Research
Tensorflow
Python
Scikit-Learn
Requirements
  • Ph.D. degree or equivalent experience in one of the following areas: Computational Biology, Statistical Genetics, Population Genetics, Biostatistics, Bioinformatics, Computer Science or other related quantitative disciplines
  • Experience working with multi-omics data and managing and dissecting large unstructured datasets
  • Demonstrate strong data science skills and level of experience building data analysis pipeline, statistical models, and analyzing data using R and/or Python
  • Develop heuristic rules, optimization, and algorithms to improve editing design and data analysis pipeline
  • Proficiency in predictive modeling and broad understanding of emerging machine learning and deep learning approaches, limitations, and pitfalls
  • Experience with machine learning libraries like Scikit-learn, PyTorch, and/or TensorFlow for biological applications
  • Ability to work independently and manage timelines in a fast-paced, collaborative and cross-functional environment and handle ambiguity gracefully
  • Fast learner, critical thinking, can-do attitude, strong problem-solving skills, and agility to adapt approaches to new data and questions
  • Strong communication competencies to present computational concepts and explain your work to a wide variety of audiences across levels of the organization
Responsibilities
  • Independently perform statistical analysis, genomic and editing data analysis, mine public databases, and predictive modeling to provide scientific contributions and achieve business goals
  • Drive innovation and value by combining state-of-the-art analytics, data integration, data visualization, and biological domain knowledge
  • Develop and implement advanced models, including machine learning/deep learning, with applications to genomics and gene editing
  • Partner with data science platform, engineers, and collaborators across domains to understand research and product development needs and deliver on high-impact projects and cross-function support
  • Communicate business impact accurately across key stakeholders and present validated results to all levels of the organization, including peers, senior management, and internal stakeholders to drive both strategic and operational service changes
Desired Qualifications
  • Experience with population genetics
  • Experience in applying machine learning algorithms to gene editing problems
  • Experience in creating web-based tools and visualization applications
  • A good understanding of gene editing
  • A good understanding of pangenome
Inari Agriculture

201-500 employees

Plant breeding technology company
Company Overview
Inari is on a mission to transform agriculture and its impact on society and the environment. Inari's platform combines biological and data sciences to create approaches that significantly reduce the land, water, and other inputs required to produce food and feed.
Benefits
  • Health insurance package
  • Flexible PTO
  • 401k plan
  • Performance Bonus
  • Commuter Checks & Assistance
  • Company Social Events
  • Free Lunch or Snacks
Company Values
  • Ambitiously grounded: We embrace challenges and are willing to take risks to deliver high impact results.
  • Collaborative innovators: We are curious explorers who believe collaboration can overcome limitations and expedite success.
  • Stewards of our planet: We hold ourselves accountable for the footprint that we create and strive to protect the earth for future generations.