Remote Data Science Jobs in Web3

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Job Position Company Posted Location Salary Tags

Topography Health

Remote

$133k - $154k

Coinbase

United States

$96k - $113k

Chainlink Labs

Remote

Chainlink Labs

Remote

OP Labs

Remote

$76k - $97k

Step Finance

Remote

$77k - $115k

Consensys

Remote

$40k - $92k

Paradigm

remote

$45k - $75k

Kronos Research

remote

$28k - $33k

Edge & Node

remote

$63k - $75k

Numus

Remote

$73k - $115k

Numus

Remote

$90k - $180k

The Block

Remote

$80k - $95k

Coinmarketcap

Taipei, Taiwan

$95k - $110k

SwissBorg

Remote

$72k - $80k

Gemini

Remote

$120k - $168k

Coinbase

United States

$201k - $237k

Animoca Brands Limited

Flexible

$22k - $60k

Swan

Remote

$90k - $105k

TRM Labs

Remote

$157k - $192k

Bitcoin Depot

Atlanta, GA, United States

$81k - $84k

FalconX

Remote

$106k - $165k

Zora Labs

Remote

$95k - $111k

Glassnode

Europe

$105k - $180k

Kraken Digital Asset Exchange

Dublin, Ireland

$91k - $150k

Data Scientist

Topography Health
$133k - $154k est.

This job is closed

Data Scientist

Remote Technical – Data Science / Full Time / Remote

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Topography Health is a first-of-its-kind, physician-focused clinical trials platform. We offer a full stack of tools and services to empower doctors to gather evidence within an existing practice. Our mission is to accelerate clinical research by increasing the investigative capacity of every physician, creating a new world of medicine where patients have seamless access to advanced research. We care deeply about creating data sets that are more inclusive and representative, and we’re determined to change how research is conducted at the community level. We’re backed by Andreessen Horowitz, Bain Capital Ventures, and other great financial and strategic partners. 

ABOUT THE ROLE Topography Health stands as a leader in clinical research and healthcare analytics, leveraging cutting-edge technologies and methodologies to create actionable insights. We are in search of a seasoned Data Scientist with a strong background in the healthcare or fintech sectors. This role will champion the creation, refinement, and optimization of algorithms that enhance our processes. Handling unstructured data will be commonplace, and extracting insights pivotal. A critical aspect will be the deployment of machine learning models, with an emphasis on NLP and LLM, particularly tuned to EHR datasets. This position will also necessitate cross-functional collaboration, ensuring alignment with overarching data requirements and high-impact solutions. This role is instrumental in advancing our clinical trials. You will not only develop predictive models but also ensure data integrity by managing and harmonizing data from various sources. You will be involved in intensive collaboration with our clinical researchers and product team, and you will need to stay up to date on the latest in data science and clinical methodologies. 

KEY RESPONSIBILITIES Perform advanced data analysis on clinical data to provide business insights (e.g., patient utilization, disease prevalence, etc.)

Leverage and apply cutting-edge developments in NLP and LLMs to analyze clinical notes and various forms of unstructured dataHandle vast amounts of unstructured data, deriving insights that will aid in the identification of potential patients

Utilize ETL processes for large datasets using Python/PySpark and Apache Airflow on cloud platforms like AWS, GCP, or Azure Engage deeply with real-world data sources, including EHR and claims data Implement and deploy machine learning models, emphasizing deep learning and natural language processing techniques, specifically on EHR datasets

MINIMUM QUALIFICATIONS BS in Data Science, Health Informatics, Software Engineering or 4 years equivalent work experience 3+ years of work experience in Healthcare of Fintech  3+ years of experience with Python, and SQL3+ years of experience with clinical data sets and coding systems3+ years of experience with Machine Learning/Natural Language Processing  3+ years of experience with Machine Learning model implementation & deployment 

PREFERRED QUALIFICATIONS MS in Data Science, Health Informatics, or Software Engineering

Topography is an equal opportunity employer and does not discriminate based on race, age, religion, gender, gender identity, national origin, citizenship status, sexual orientation, disability, political affiliation, or belief. We are committed to creating an inclusive culture. 

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