Recursion
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The Staff Engineer in IAM will revamp and implement IAM strategies across products and infrastructure, architect cloud-based solutions, manage IAM workflows, and ensure compliance with regulations while collaborating with various teams. The role emphasizes security principles and leading IAM projects in cloud environments.
As a Senior AI/HPC Storage Engineer, you will design, implement, and manage AI/HPC data systems. Your responsibilities include optimizing storage infrastructure, automating processes, and ensuring data integrity while collaborating with various teams to enhance scientific computing tasks.
As a Global Program Manager, you will oversee Clinical Development projects, managing timelines, budgets, and resources. You will lead meetings, document key decisions, manage risks, facilitate program updates, maintain documentation, and support budgeting activities while collaborating with various teams to ensure successful project execution.
In this role, you will lead computational strategies for preclinical and clinical-stage drug programs, integrating molecular and clinical data to facilitate drug development in oncology. Other responsibilities include advancing drug programs, delivering insights on therapeutic candidates, and collaborating cross-functionally to scale data analysis methods.
As a Staff Scientist in Computational Biology, you will lead computational efforts in drug discovery, working with large datasets to assess patient populations for therapeutics. The role involves evaluating new data sources, advancing drug programs, collaborating cross-functionally, and providing insights from complex data analyses in oncology.
As a Staff Scientist, Computational Biology, you will lead computational efforts in drug discovery, integrating molecular and clinical data to enhance patient selection for oncology therapeutics. You will collaborate with cross-functional teams to develop analytical methods, drive program decisions, and present findings to stakeholders, contributing to accelerated clinical development.
In this role, you will lead computational efforts for preclinical or clinical drug programs, analyze complex biological data, validate therapeutic hypotheses, and drive drug discovery processes. You will collaborate cross-functionally, develop and scale new analysis methods, and present findings to decision-makers, all aimed at accelerating the delivery of life-changing therapies to patients.
In this role, you will lead drug discovery efforts by evaluating therapeutic hypotheses and designing experiments using computational methods. Responsibilities include data analysis, collaboration across teams, and the delivery of biological insights to support drug development, particularly in oncology.
As a Staff Scientist in Computational Biology, you will lead drug discovery efforts using massive datasets to analyze and validate therapeutic links. Collaboratively defining research strategies and presenting biological insights, you'll work on data-driven methodologies that facilitate patient selection and indication expansion in oncology.
As a Senior Scientist in Computational Biology, you will lead drug discovery efforts, evaluate therapeutic hypotheses, and apply computational methods to analyze complex biological data. Your role involves designing experiments, conducting analyses, and collaborating across teams to accelerate drug development, primarily in oncology.
As a Senior Scientist in Computational Biology, you'll lead the evaluation of therapeutic hypotheses and drive drug programs from hit identification through clinical development. You'll design experiments, analyze diverse datasets, and collaborate with cross-functional teams to deliver insights that accelerate bringing therapies to patients.
In this role, you will build and manage record management systems, lead digital transformation initiatives, and collaborate across departments to enhance the company's quality culture and innovative record management practices. You will oversee the record lifecycle, manage audits, and ensure regulatory compliance.
As a Staff Software Engineer, you will build production-grade tools and APIs for handling vast biological data, develop infrastructure for clinical trials, and lead the design of LLM-enabled software for drug discovery while mentoring other engineers.
As a Staff Software Engineer at Recursion, you will develop APIs and tools for querying extensive biological data, create infrastructure for clinical trials, and design LLM-enabled software while mentoring colleagues and collaborating across teams to enhance drug discovery processes.
The Staff Software Engineer (Backend) will build production-grade tools and APIs for biological data and AI models, create infrastructure for clinical trials, and lead the design of LLM-enabled software for drug discovery, mentoring other engineers in the process.
As a Senior Software Engineer at Recursion, you will create production-grade tools and APIs for querying biological data, build infrastructure for clinical trials, and design software solutions that incorporate AI and large language models, while mentoring team members.
As a Senior Software Engineer at Recursion, you will design and build production-grade tools and APIs for querying large biological datasets, create infrastructure for clinical trials, and implement LLM-enabled software solutions. You'll also mentor junior engineers as part of a dynamic, collaborative team.
The Senior Software Engineer will develop production-grade tools and APIs for querying large biological datasets, create infrastructure for clinical trials, design LLM-enabled software, and serve as a mentor to peers. They will collaborate with teams to optimize workflows and ensure regulatory compliance.
As the Associate Director of Engineering, you will lead high-performing software engineering teams to drive drug discovery through technology. You will ensure teams align with strategic goals, drive delivery of scientific outcomes, and foster professional development within your teams while managing ambiguity and solving complex problems in a cross-functional environment.
As a Data Science Intern, you will work with biologists, chemists, and data scientists to analyze complex multi-omics data. You will receive real-world data to develop creative solutions while collaborating with cross-functional teams. This role requires a strong foundation in statistics, probability, and machine learning, along with programming skills in Python.