ZipRecruiter

Log In

2

Biomedical Data Analyst Remote Jobs in Toronto, ON

McLean & Company

Analyst, Program Delivery

Toronto, ON · Remote

Are you a detail-oriented problem solver who enjoys working with data? Do you thrive in a fast ... Remote within Canada. Flex of hours may occasionally be required to accommodate clients in other ...

Mercor

Investment Research Analyst

Toronto, ON · Remote

CA$105/hr

Remote Commitment: 10-20 hours/week Role Responsibilities * Conduct equity and macroeconomic ... Analyze earnings reports, filings, and market data for improved model outputs . * Assist in ...

Mercor

Data Scientist - AI Evaluation

Toronto, ON · Remote

CA$100 - CA$150/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for data science deliverables, including exploratory data analyses , statistical modeling work , machine learning ...

New

Morson Talent

25-199 - Data Engineer

Oshawa, ON · Remote

$85 - $95/hr

... remote) Job Overview As an Azure and Databricks Data Engineer, you will be responsible for ... Support Business Intelligence Analysts in modelling data for visualization and reporting, using ...

Cayenta

(Remote) Support Analyst

Toronto, ON · Remote

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... Strong analytical skills with the ability to make sound, independent decisions * Self-motivated ...

Cayenta

(Remote) Support Analyst

Markham, ON · Remote

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... Strong analytical skills with the ability to make sound, independent decisions * Self-motivated ...

Cayenta

(Remote) Support Analyst

Guelph, ON · Remote

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... Strong analytical skills with the ability to make sound, independent decisions * Self-motivated ...

Cayenta

(Remote) Support Analyst

Mississauga, ON · Remote

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... Strong analytical skills with the ability to make sound, independent decisions * Self-motivated ...

Cayenta

(Remote) Support Analyst

Oakville, ON · Remote

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... Strong analytical skills with the ability to make sound, independent decisions * Self-motivated ...

Morson Talent

25-108 Senior Data Engineer

Pickering, ON · Remote

$70 - $90/hr

... remote) Job Overview As a Senior Data Developer, you will be responsible for building and ... Support Business Intelligence Analysts in modelling data for visualization and reporting, using ...

previous pagenext page

Showing results 21-40

All JobsBiomedical Data Analyst JobsBiomedical Data Analyst Remote JobsBiomedical Data Analyst Remote Jobs in Toronto, ON

Biomedical Data Analyst Remote information

What are the key skills and qualifications needed to thrive as a biomedical data analyst in a remote setting?

To thrive as a Biomedical Data Analyst (Remote), you need a solid background in biostatistics, data science, and life sciences, often supported by a relevant degree such as bioinformatics or computational biology. Familiarity with programming languages (like Python or R), statistical software, and data visualization tools, as well as experience with databases and cloud-based collaboration platforms, is typically required. Strong analytical thinking, attention to detail, and effective virtual communication skills are vital for collaborating with multidisciplinary teams remotely. These skills ensure accurate analysis, meaningful insights, and successful project outcomes in a distributed work environment.

What does a biomedical data analyst do in a remote position?

A Biomedical Data Analyst working remotely is responsible for collecting, processing, and interpreting complex biological and healthcare data. Their primary tasks include analyzing datasets from clinical trials, genomic studies, or electronic health records to uncover trends and support medical research. They use statistical tools and programming languages, often collaborating virtually with researchers and clinicians. Their insights help improve patient outcomes, develop new treatments, and advance scientific understanding. Remote roles allow analysts to contribute to projects from anywhere while utilizing secure technology to handle sensitive health data.

What are some common challenges faced by remote biomedical data analysts, and how can they be addressed?

Remote Biomedical Data Analysts often face challenges such as ensuring secure access to sensitive health data, maintaining effective communication with cross-functional teams, and managing time zone differences. To address these, it's important to use secure VPNs and follow data privacy protocols, utilize collaborative tools like Slack or Teams for regular updates, and establish clear working hours and expectations. Proactively scheduling check-ins and participating in virtual team meetings can help maintain strong collaboration and project alignment.
What are popular job titles related to Biomedical Data Analyst Remote jobs in Toronto, ON? For Biomedical Data Analyst Remote jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Biomedical Data Analyst Remote jobs in Toronto, ON look for? The top searched job categories for Biomedical Data Analyst Remote jobs in Toronto, ON are:
Biomedical Data Analyst Remote jobs near you

Senior Data Engineer - Machine Learning & Data Platforms - REMOTE

Talent To Hire Inc.

Toronto, ON • Remote

CA$125K - CA$140K/yr

Full-time

Re-posted 21 days ago

Job description

🚀 Senior Data Engineer- Machine Learning & Data Platforms | Remote

Our client is building the next generation of industrial intelligence, transforming complex automotive and industrial data into real-time, actionable insights powered by machine learning. This is a FT remote position. You can work from Toronto, Ottawa or Montreal.

We are seeking an experienced Data Engineer who thrives in high-scale, production ML environments and enjoys working with complex, messy datasets to build reliable, scalable data foundations for advanced analytics.

You will join a team of 13 engineers and data professionals, working in a highly collaborative, fast-moving environment. The role is remote-friendly, with strong cross-functional interaction across engineering, data science, and business teams.

🔧 What You’ll Do

  • Design, build, and maintain scalable data pipelines and ETL processes for large structured and unstructured datasets

  • Develop and optimize Spark-based data workflows supporting production ML systems

  • Collaborate closely with data scientists, ML engineers, and business stakeholders

  • Translate complex business needs into scalable, production-grade data solutions

  • Build feature engineering pipelines for time-series and predictive models

  • Ensure data quality, governance, security, and reliability across systems

  • Continuously improve data architecture, performance, and scalability

🧠 What You Bring

  • Min. 6+ years in data engineering or ML data pipeline development

  • Strong experience with Apache Spark, PySpark, Databricks, Delta Lake

  • Advanced skills in Python, SQL, and Airflow

  • Deep understanding of Medallion architecture and ETL design patterns

  • Experience building time-series features (rolling windows, lags, trend indicators)

  • Ability to work closely with ML teams and translate data into model-ready structures

  • Bachelor’s or Master’s in Computer Science, Engineering, or related field

⭐ Preferred Experience - we will highly consider candidates with below skills;

  • Background in retail, e-commerce, or supply chain environments dealing with large, messy, high-volume datasets

  • Experience working directly with machine learning teams or supporting ML model development

  • Hands-on experience in forecasting, demand planning, or similar data-heavy business domains

  • Experience integrating data from ERP/CRM/WMS systems (SAP, Oracle, legacy platforms)

  • Exposure to feature stores or ML training/serving consistency frameworks

  • Experience with IBM DataStage or legacy ETL modernization projects

  • Experience scaling distributed ML or time-series models in production environments

🌍 Why This Role

This is a strong fit for someone who enjoys working in complex, real-world data environments, especially with messy, high-volume retail-style data and close collaboration with ML teams. Retail or similar domains are highly valued.

APPLY: sasha@talenttohire.com