2

Remote Biomedical Data Scientist Jobs in Indiana

As a Data Scientist at A uthenticx , your responsibilities will include: * Utilizing Python, SQL ... This is a remote/virtual position. * You must live in the United States of America. * You must be ...

As a Data Scientist at A uthenticx , your responsibilities will include: * Utilizing Python, SQL ... This is a remote/virtual position. * You must live in the United States of America. * You must be ...

This is a remote position. We do not offer visa sponsorship or assistance. Resumes and communication must be submitted in English. Responsibilities * Act as the founding Data Scientist on the product ...

Provide technical guidance to data scientists and analysts across the organization. * Mentor junior ... Strong mentoring and technical leadership capabilities. #LI-TS1 #remote Sedgwick is an Equal ...

Deep expertise interpreting clinical data for agencies such as the FDA, EMA, or equivalent global ... biomedical research * Fully remote and flexible - work when and where it suits you * Freelance ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Applied Science Team The Applied Science team operates at the core of Relativity's AI development.

AI Data Architect

Indianapolis, IN · On-site +1

$83.20K - $178.80K/yr

However, the remote location must within the US. How you'll spend your time: * Define and implement ... Partner with AI engineers, data scientists, and business leaders to align data architecture with ...

The position is remote, but you need to live locally to come onsite periodically for meetings. Required Skills & Qualifications: * Bachelor's degree in Data Science, Statistics, Mathematics, Computer ...

The position is remote, but you need to live locally to come onsite periodically for meetings. Required Skills & Qualifications: * Bachelor's degree in Data Science, Statistics, Mathematics, Computer ...

next page

Showing results 1-20

Remote Biomedical Data Scientist information

What are the key skills and qualifications needed to thrive as a Remote Biomedical Data Scientist, and why are they important?

To thrive as a Remote Biomedical Data Scientist, you need expertise in statistics, machine learning, data analysis, and a solid background in biology or biomedical sciences, often supported by an advanced degree. Familiarity with programming languages such as Python or R, experience with bioinformatics tools, and knowledge of data management systems are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate virtually are essential soft skills in this role. These competencies enable accurate interpretation of complex biomedical data and facilitate impactful research or product development in remote, interdisciplinary environments.

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

Remote biomedical data scientists often encounter challenges such as collaborating effectively with cross-functional teams, managing large and sensitive datasets, and ensuring clear communication with researchers and clinicians. To address these, it's important to utilize secure data-sharing platforms, maintain regular virtual meetings, and document analyses thoroughly. Additionally, leveraging collaborative tools and staying updated on data privacy regulations can help ensure smooth workflows and compliance.

What is a Remote Biomedical Data Scientist?

A Remote Biomedical Data Scientist is a professional who analyzes complex biological and medical data from a remote location, often working from home or another offsite setting. They use statistical methods, machine learning, and computational tools to interpret data related to healthcare, genomics, clinical trials, or medical imaging. Their work helps improve patient outcomes, advance scientific research, and inform healthcare decisions. Remote roles typically require strong communication and collaboration skills to work effectively with multidisciplinary teams online.
What are the most commonly searched types of Biomedical Data Scientist jobs in Indiana? The most popular types of Biomedical Data Scientist jobs in Indiana are:
What job categories do people searching Remote Biomedical Data Scientist jobs in Indiana look for? The top searched job categories for Remote Biomedical Data Scientist jobs in Indiana are:
What cities in Indiana are hiring for Remote Biomedical Data Scientist jobs? Cities in Indiana with the most Remote Biomedical Data Scientist job openings:

Precision Medicine Data Lead

Alignerr

Indianapolis, IN • Remote

Other

This job post has expired today. Applications are no longer accepted.


Job description

Precision Medicine Data Lead (AI Training)
About the Role
What if your expertise in genomics and clinical data could directly shape how AI understands and advances personalized medicine for millions of patients worldwide? We're looking for a Precision Medicine Data Lead to help guide the integration, governance, and transformation of complex healthcare and genomic datasets - powering the next generation of AI models built for clinical research and precision health.
This is a fully remote, flexible contract role designed for experienced data professionals with a background in life sciences, genomics, or healthcare analytics. Your domain expertise will directly influence how cutting-edge AI systems reason about biomedical data.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
What You'll Do
  • Design, oversee, and optimize data pipelines that integrate genomics, clinical records, biomarkers, and other healthcare datasets into unified analytics platforms
  • Lead analytical strategies that transform complex, integrated datasets into actionable insights for precision medicine, clinical decision support, and advanced research initiatives
  • Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and governance best practices
  • Translate highly technical findings into clear, meaningful outputs for diverse stakeholder audiences
  • Apply your domain expertise to evaluate and improve AI-generated outputs related to healthcare and genomics data
Who You Are
  • Experienced working with large-scale healthcare, genomic, or life sciences datasets in analytics or data leadership roles
  • Strong background in data integration, data governance, and translating complex datasets into meaningful insights for scientific or clinical audiences
  • Skilled at working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
  • Detail-oriented, methodical, and comfortable operating independently in an asynchronous, remote setting
Nice to Have
  • Prior experience with data annotation, data quality evaluation, or AI training workflows
  • Familiarity with regulatory frameworks in healthcare data (e.g., HIPAA, GDPR, FDA guidelines)
  • Background in bioinformatics, translational research, or clinical informatics
  • Experience communicating complex scientific findings to non-technical stakeholders
Why Join Us
  • Work on cutting-edge AI projects alongside the world's leading AI research labs
  • Fully remote and flexible - work when and where it suits you
  • Freelance autonomy with the structure of meaningful, high-impact work
  • Contribute to AI development that could transform how precision medicine is practiced at scale
  • Potential for ongoing work and contract extension as new projects launch