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    Scientist / Senior Scientist - Ontario, Canada - Karkidi

    Karkidi
    Karkidi Ontario, Canada

    3 weeks ago

    Default job background
    Description

    As part of Recursion's internal pipeline team, you will be at the forefront of reimagining drug discovery from first principles using Recursion's massive data capabilities.

    You will be the primary computational lead on one or more internal drug/clinical programs with the freedom and support to collaboratively define and execute a research program to bring promising discoveries from early-stage hit-identification to pre-clinical development.

    Working alongside world-class biologists, medicinal chemists, engineers, data scientists and ML scientists, you'll design experiments, develop new methods, analyze and interpret results and inform key program decisions with the ultimate goal of bringing life-changing therapeutics to patients.

    to accelerate programs (primarily in oncology).

    Architect analyses and experiment cascades to collect and combine diverse data that inform statistically-sound decisions weighing risks and benefits.

    Present and discuss data with decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients.

    Industrialize approaches and analyses to not only solve for the current project, but also to accelerate future projects and scale the impact that we can have.

    Collaborate cross-functionally with Recursion's data science and ML teams to further advance Recursion's ability to interpret and translate large-scale phenomics data into therapeutic programs.

    This is a hybrid position based at our office in Toronto, Ontario, Canada. Relocation assistance is available for qualifying candidates.

    We are building an interdisciplinary group centered on machine learning and inference-based discovery of drug programs from first principles.

    Close collaboration between computational biologists across multiple therapeutic areas (primarily oncology) and with data scientists on the core build teams provides a strong network of feedback and support in setting timelines, refining ideas, automating repetitive workflows, piloting, productionalizing and more.

    Our group is a bold, agile, diverse collective of biological, computational, drug discovery, and machine learning scientists deeply focused on the singular goal of bringing new therapeutics to patients at an accelerated pace.

    You will collaborate extensively with data scientists, chemists, engineers, commercial strategists, and biologists throughout the organization to advance milestones and provide insights to further advance Recursion's capabilities.

    Essential attributes to this role include a bold, execution-first attitude and passion for deploying rigorous science to bring life-changing therapies to patients.

    PhD in a relevant field (computational biology, bioinformatics, statistics, quantitative pharmacology, cancer/cell biology, etc.) with 3+ years of experience applying professional competencies to fundamental problems in oncology or drug discovery
    Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze complex biological and/or human clinical data
    Fluency and experience working with high-level programming language such as Python or R for complex data analysis
    General understanding of small molecule drug discovery and pharmacology
    Efficiency in advancing drug-discovery projects, carrying and prioritizing among multiple projects and efficiently advancing projects to proof of concept
    Experience in efficiently advancing drug program projects from proof of concept to preclinical. Industry oncology drug discovery experience preferred
    Ability to clearly explain computational analyses and methodologies to cross-functional and non-technical teams.
    Exceptional data visualization skills through creation of plots, documentation and presentations.
    Experience analyzing data from imaging- and/or genomics-based modalities
    Training on Recursion's culture and values and our Drug Discovery & Development processes to provide insight to our unique approach and strategy for success
    Opportunity to attend conferences and workshops in Oncology and / or Computational Biology
    Multiple opportunities for leadership and mentorship training as well as working with cross-functional teams

    During the interview selection process, you will connect with a Talent Acquisition Partner who will be your advocate and ally to ensure you receive the appropriate compensation that meets your needs for your skills, experience, and relevant education/training, while also reviewing our very competitive total rewards package.


    We Care:

    We care about our drug candidates, our Recursionauts, their families, each other, our communities, the patients we aim to serve and their loved ones.

    Recursion spends time and energy connecting every aspect of work to these values. Recursion is a clinical stage TechBio company leading the space by decoding biology to industrialize drug discovery.

    Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously expands one of the world's largest proprietary biological and chemical datasets.

    Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias.

    By commanding massive experimental scale — up to millions of wet lab experiments weekly — and massive computational scale — owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine.

    Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective.

    Learn more at or connect on Twitter and LinkedIn.
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