Senior Data Scientist, Atropos Health
$115-147k
More information about location
Real-world evidence for clinical decision making
Posted today
Real-world evidence for clinical decision making
21-100 employees
Posted today
$115-147k
More information about location
21-100 employees
Company mission
To solve the Evidence Gap that has hampered effective clinical decision-making.
Role
Who you are
- If you enjoy driving the development and deployment of data science products such as predictive models, recommenders, clinical databases in collaboration with the product and clinical teams, this position is for you
- We are looking for versatile data scientists who continuously seek product innovation and can deploy solutions with strong technical skills to augment our automated Atropos Health workbench that generates rapid and reliable real-world evidence
- Degree in Clinical Informatics, Bioinformatics, CS, Engineering, Epidemiology, Statistics, or a quantitative discipline
- Experience manipulating large data sets and developing and deploying models onto production infrastructure
- Fluency with Python, R, SQL, git, Linux and cloud infrastructure (AWS and Docker). You have published a Python or R package before and are familiar with virtual environments
- Sufficiently knowledgeable about healthcare to understand product needs
- Excellent problem-solving, project management and team collaboration skills
- Flexible thinking: you know how to re-frame problems to find practical solutions
- Additional skills in epidemiology, precision medicine, predictive modeling, using LLMs, RWE, causal inference, recommenders, NLP, data engineering, MLOps or DevOps will be a plus
- Knowledge of relevant medical coding terminology (e.g., ICD, CPT, LOINC, RxNORM) is a plus
- Masters or PhD training in a quantitative field is a plus
- Excellent writing skills – you may be asked to contribute to our technical blogs
What the job involves
- Work with Product, Clinical and Engineering stakeholder teams to understand product and clinical requirements and deliver solutions that balance technical rigor with practical application
- Test, productionalize and maintain data science products with software engineering best practices including code management and documentation
- Articulate and deconstruct complex projects into workable solutions and identify appropriate data and methods
- Practice good judgment and solicit information to make good and timely design decisions
- Manage and drive projects, working with stakeholders to address dependencies and gaps
- Solicit user feedback and propose opportunities for product innovation (e.g. to add new functionalities, improve model performance, automate processes)
- Stay abreast of research and conduct literature and empirical research to propose appropriate solutions while sidestepping less promising ones
- The Senior Data Scientist reports directly to the President, Neil Sanghavi
- Offsites. As a remote company we take time 2-3 times a year to get together in small teams and all together as a company
Our take
Spun out from a project developed at Stanford University, Atropos Health was founded to improve the use of generative AI in medical and research decision-making. The company’s software offers on-demand evidence and real-world data to improve evidence collation, elevating clinical trial outcomes.
The use of generative AI for medical purposes is in an exciting place at the moment, and Atropos Health is at the forefront of its evolution. The company’s Geneva Operating System is an original AI system and natural language processor that makes publication-quality clinical data accessible to those without technical skills, and at low cost.
Impressively, the company claims to provide query results in minutes rather than the traditional timeline of 2 to 6 months, hugely speeding up the research process. The power of its operating system is backed by the company’s substantial funding rounds, which will be used to expand operations and grow its portfolio of gen-AI products.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
May 2024
$33m
SERIES B
Aug 2022
$14m
SERIES A
Total funding: $47m
Company benefits
- Health & Wellness - Our benefit package includes employer paid Medical, Dental, Vision, Life, STD, and LTD insurance
- Parental Leave - We offer up to twelve weeks of paid leave for new parents who have been at the company for 6+ months
- Financial Wellness - Save for retirement through our 401k plan with Human Interest
- Flexible Work Environment - We're a remote first company with a flexible vacation policy
- Offsites - As a remote company we take time 2-3 times a year to get together in small teams and all together as a company
Company values
- Bias to Action. We are driven by urgency and persistence, ensuring our actions contribute to the relentless pursuit of our mission
- Intellectual Honesty. We are committed to the integrity of our work, seeking truth, and building transparent methodologies that go beyond industry norms
- Compelled by Curiosity. We seek to solve the unknown, push boundaries, and do not accept the status quo
- Impactful Innovation. We pioneer solutions that pursue equity and representation that have a transformative impact for our customers, users, and patients
- Mindful Mentorship. We approach all interactions with an empathetic understanding, actively investing in the growth of each other and our customers
Company HQ
Palo Alto, CA
Articles
Leadership
Brigham Hyde
(Co-Founder & CEO)Currently a Venture Partner at Audere Capital. Previously a Special Advisor at EVERSANA, was an Official Member of Forbes Technology Council, and worked as a Research Affiliate at MIT.
Nigam Shah
(Co-Founder)Currently Chief Data Scientist at Stanford Health Care, as well as Head of Medicine at Stanford University School of Medicine. Previously interned in Research at IBM.
Saurabh Gombar
(Co-Founder &Chief Medical Officer)Currently Clinical Instructor at Stanford Health Care. Previously studied a PhD at Albert Einstein College of Medicine, founded Alpha Abacus and was a Software Engineer at Ericsson.
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