Remote Data Scientist

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Flatiron Health

πŸ“Remote - United States

Job highlights

Summary

Join our team as a Data Insights Programmer (Data Scientist) to support a key deliverable for an ongoing clinical research project. This temporary contract role offers a unique opportunity to contribute to impactful work in oncology, working with a talented and collaborative team.

Requirements

  • 1-3 years of relevant experience in data extraction, programming, and analysis
  • Proficiency in SQL for data extraction and manipulation
  • Strong programming skills in either Python or R, with experience using common data cleaning packages (e.g., pandas, numpy, dplyr, tidyverse)
  • Excellent attention to detail and a high sense of ownership for deliverables
  • Strong communication skills and the ability to work effectively with cross-functional teams

Responsibilities

  • Work closely with cross-functional teams to extract, clean, and analyze data for a clinical research study
  • Populate and validate statistical tables as outlined in the Statistical Analysis Plan (SAP), ensuring data accuracy and completeness
  • Perform data extraction, cleaning, and analysis using SQL and either Python or R
  • Collaborate cross-functionally with clinical research teams, product managers, and engineers to ensure data requirements are met
  • Maintain clear and detailed documentation of data sources, methodologies, and results
  • Ensure data quality and integrity, adhering to project timelines and deliverables

Benefits

Remote work option

Job description

We are seeking a skilled Data Insights Programmer (Data Scientist) to join our team on a temporary contract basis for Q4 of 2024. This role will support the completion of a key deliverable for an ongoing clinical research project. If you are a data enthusiast with strong technical skills and a passion for clinical research, this is a great opportunity to contribute to impactful work in oncology.

This is a unique opportunity to contribute to a high-impact clinical research project on a contract basis. You will work with a talented and collaborative team, gaining valuable experience in the clinical research space. While this is a temporary role for Q4 2024, you will have the chance to make a meaningful contribution to a project that could have a lasting impact on cancer research.

What You’ll Do

As a Data Insights Programmer, you will work closely with cross-functional teams to extract, clean, and analyze data for a clinical research study. Your primary focus will be on ensuring the accuracy and completeness of exploratory data metrics, with the potential to expand into more sophisticated statistical analysis. You will also collaborate with clinical research teams, product managers, engineers, and other stakeholders to ensure alignment on data requirements and project timelines. In addition, you will also:

  • Populate and validate statistical tables as outlined in the Statistical Analysis Plan (SAP), ensuring data accuracy and completeness.
  • Perform data extraction, cleaning, and analysis using SQL and either Python or R.
  • Collaborate cross-functionally with clinical research teams, product managers, and engineers to ensure data requirements are met.
  • Maintain clear and detailed documentation of data sources, methodologies, and results.
  • Ensure data quality and integrity, adhering to project timelines and deliverables.

Who You Are

You are a detail-oriented, technically skilled data professional with a passion for clinical research. You thrive in a collaborative environment and are excited by the opportunity to contribute to a meaningful project in oncology.

  • You have 1-3 years of relevant experience in data extraction, programming, and analysis.
  • You have proficiency in SQL for data extraction and manipulation.
  • You have strong programming skills in either Python or R, with experience using common data cleaning packages (e.g., pandas, numpy, dplyr, tidyverse).
  • You have excellent attention to detail and a high sense of ownership for deliverables.
  • You have strong communication skills and the ability to work effectively with cross-functional teams.

Extra credit

  • Experience with clinical trial data, real-world data, or oncology data.
  • Familiarity with Statistical Analysis Plans (SAPs) in a clinical research setting.
  • Knowledge of key statistical concepts and the ability to generate and interpret statistical analyses.

Contract Details:

  • Duration: Q4 2024 (Temporary)
  • Location: Remote (US-based)
  • Hours: Full-time, 40 hours per week
  • Time Zone: Must be able to work +/- 3 hours of US East Coast time

Where you will work

In this remote position, you have the freedom to choose your preferred work location while aligning your working hours with your team’s. For further details on our hybrid work approach and remote work type, please visit the how we work website.

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