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Staff Data Scientist

4 months ago

New York, United States AminoChain Full time

AminoChain is looking for an experienced Staff Data Scientist to join our innovative team. As a Staff Data Scientist, you will play a critical role in leveraging data to drive insights and support decision-making across our decentralized protocol infrastructure for healthcare applications. You will collaborate with cross-functional teams to develop and deploy data-driven solutions that address complex challenges in the healthcare and biomedical research field.

At AminoChain, our mission is to build the future of trust in science and healthcare, creating a world where patients are at the heart of biomedical research outcomes. We're developing the world’s first decentralized protocol infrastructure for healthcare applications, connecting hospitals, biobanks, and bio-pharma companies to unlock the full potential of donated biological samples.

Responsibilities
  • Collaborate with stakeholders to define and prioritize data science projects and research directions
  • Develop and implement machine learning models and statistical algorithms to extract insights from complex healthcare data including maintenance of our schema, standardizing and connecting distributed data
  • Design and develop data pipelines, data analysis frameworks, and tools to support data-driven decision making ; data adapters that map customer’s databases to a unified schema
  • Perform exploratory data analysis and visualization to identify patterns and trends in large-scale datasets
  • Work closely with cross-functional teams to integrate data-driven solutions into our platform
  • Assist in the development of backend systems and/or frontend systems; especially in areas with exposure to customer data.
  • Preform QA checks on systems utilizing customer data to validate that data is not misrepresented and is handled properly.
  • Stay up-to-date with advancements in data science and apply new techniques to drive innovation
  • Collaborate with external partners and domain experts to leverage external datasets and domain-specific knowledge
  • Contribute to research and development activities in the field of healthcare data science
  • Present findings, insights, and recommendations to stakeholders in a clear and concise manner

Requirements

  • Bachelor's in computational biology, systems biology, engineering, or a related discipline, with 5+ years of working experience.
  • Extensive hands on experience handling biological specimen data.
  • Some understanding of human physiology or disease biology (e.g. neurosciences, cancer biology).
  • Strong programming skills & experience working with software development teams.
  • Committed to writing well-commented code and documentation, and familiarity with coding best practices (i.e. version control, code review).
  • Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions.
  • Experience working in early-stage startups.

Benefits

  • Founding Team: You will be part of the core founding team and will have a major impact on the future of the organization.
  • Innovative Impact: You will be working at the cutting edge of two rapidly evolving fields: blockchain and biomedical research — creating novel and creative solutions for economies that do not yet exist.
  • Culture of Innovation and Inclusion: We believe that great ideas can come from anywhere, and we're committed to maintaining an inclusive culture where everyone feels empowered to contribute their best. We celebrate diversity in thought and background because it leads to more innovative solutions.
  • Growth Opportunities: As an early-stage startup, AminoChain offers unparalleled growth opportunities. You'll have the chance to wear multiple hats, lead projects, and be significantly involved in strategic decisions.
  • Compensation & Benefits: We recognize and reward the hard work and achievements of our team. Competitive salaries, equity options, and comprehensive benefits are just the beginning. We celebrate successes, learn from every experience, and recognize individuals who go above and beyond.