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Remote Biotech Data Analyst Jobs in Indiana (NOW HIRING)

The Data Analyst is responsible for collecting, processing and analyzing data to provide actionable ... We are open to remote work in the following approved states: Colorado, Florida, Georgia, Illinois ...

IN , (Remote) Duration :12+ Months with possibility to extension Purpose of Position/Summary: The BRFSS Analyst position, within the Office of Data and Analytics (ODA), validates, cleans, analyzes ...

Data Analyst City: West Lafayette Job Summary The Institutional Data Analytics + Assessment (IDA+A ... Fully remote and hybrid work options are available. For full consideration, an attached resume and ...

Works with complex datasets to perform exploratory data analysis to provide insights to make ... REMOTE DETAILS: You will work remotely, full-time. It will require a dedicated, quiet, private ...

Data Analyst

Indianapolis, IN · On-site +1

$100K - $110K/yr

Overview The Data Analyst identifies and develops opportunities to leverage data from enterprise ... Professional remote office environment. * Must be physically and mentally able to perform duties ...

The Associate Data Analyst provides analytical and reporting support across the Powers Health data ... The position is remote, but you need to live locally to come onsite periodically for meetings.

The Associate Data Analyst provides analytical and reporting support across the Powers Health data ... The position is remote, but you need to live locally to come onsite periodically for meetings.

Summary The Operations Data Analyst plays a critical role in driving operational efficiency and ... We do not offer relocation or remote work for this position. ** Other Skills * Language skills:

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Remote Biotech Data Analyst information

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

To thrive as a Remote Biotech Data Analyst, you need a strong background in biology or life sciences, advanced data analysis skills, and typically a degree in bioinformatics, statistics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as experience with bioinformatics databases and software, is essential. Strong problem-solving abilities, attention to detail, and effective remote communication skills help you excel in collaborative, virtual environments. These skills enable accurate data interpretation, support scientific research, and drive innovation in biotechnology projects.

How does a Remote Biotech Data Analyst typically collaborate with cross-functional teams while working off-site?

Remote Biotech Data Analysts regularly collaborate with cross-functional teams, including researchers, lab technicians, and software engineers, primarily through virtual meetings, shared project management tools, and cloud-based data platforms. Effective communication is crucial, as analysts must clearly present findings and discuss data-driven recommendations with both technical and non-technical team members. While working remotely, they often face the challenge of aligning schedules across different time zones, but most organizations provide robust digital infrastructures and regular check-ins to ensure seamless collaboration and project progress.

What is a Remote Biotech Data Analyst?

A Remote Biotech Data Analyst is a professional who works from a remote location to analyze and interpret complex biological data for biotech companies or research organizations. They use statistical and computational techniques to help make sense of data from experiments, clinical trials, or laboratory research. Their insights help guide scientific decisions, optimize processes, and support product development in the biotechnology field. This role typically requires strong skills in data analysis, biology, and proficiency with specialized software and databases.

What is the difference between Remote Biotech Data Analyst vs Remote Bioinformatics Technician?

AspectRemote Biotech Data AnalystRemote Bioinformatics Technician
Required CredentialsBachelor's in Biology, Data Science, or related field; proficiency in data analysis toolsBachelor's in Bioinformatics, Biology, or related; familiarity with bioinformatics software
Work EnvironmentRemote, often collaborating with research teams and data scientistsRemote or lab-based, supporting bioinformatics workflows and data processing
Industry UsagePharmaceuticals, biotech firms, research institutionsResearch labs, biotech companies, academic institutions
Common Search/ComparisonYesYes

The Remote Biotech Data Analyst and Remote Bioinformatics Technician roles share similar educational backgrounds and industry settings. However, data analysts focus more on interpreting and analyzing biological data, while bioinformatics technicians support data processing and software management. Both roles are essential in biotech research, often working remotely to advance scientific discoveries.

What are the most commonly searched types of Biotech Data Analyst jobs in Indiana? The most popular types of Biotech Data Analyst jobs in Indiana are:
What cities in Indiana are hiring for Remote Biotech Data Analyst jobs? Cities in Indiana with the most Remote Biotech Data Analyst job openings:

Biotech Health Data Governance Lead

Alignerr

Indianapolis, IN • Remote

Other

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


Job description

Biotech Health Data Governance Lead (AI Training)
About the Role
What if your expertise in biotech data governance could directly shape how AI understands and works with life sciences research at the highest level? We're looking for a Biotech Health Data Governance Lead to ensure that clinical trial and research data is accurate, traceable, compliant, and ready to power scientific discovery, regulatory filings, and advanced AI-driven analytics.
This is a fully remote, flexible contract role built for experienced professionals in biotech, life sciences, or regulated data environments who want to do meaningful, high-impact work on their own terms.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
What You'll Do
  • Govern biotech research and clinical trial data to ensure accuracy, lineage, and auditability across scientific analysis and regulatory submissions
  • Define and enforce data policies for classification, access, security, and metadata across research, clinical, regulatory, and partner teams
  • Enable secure, governed access to data for analytics, innovation, and external collaborations while protecting confidential and patient-related information
  • Collaborate with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworks
  • Support AI model development by ensuring underlying life sciences data meets the highest standards of quality and compliance
Who You Are
  • Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or regulated data environments
  • Strong understanding of data privacy, security, compliance, and regulatory expectations for research and clinical trial data
  • Skilled at bridging scientific, technical, and business teams to align on data standards and best practices
  • Detail-oriented, systematic, and confident working independently in a remote, asynchronous environment
  • Comfortable navigating complex, multi-stakeholder data ecosystems with clarity and authority
Nice to Have
  • Prior experience with data annotation, data quality evaluation, or AI training workflows
  • Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, ICH E6, GDPR, or HIPAA
  • Background in clinical data management, biostatistics, or health informatics
  • Experience working with AI or machine learning teams in a life sciences context
Why Join Us
  • Work at the intersection of life sciences and cutting-edge AI research alongside world-leading teams
  • Fully remote and flexible - structure your work around your schedule
  • Freelance autonomy with the substance of high-stakes, meaningful projects
  • Contribute directly to AI systems that could accelerate scientific discovery and improve human health
  • Potential for ongoing work and contract extension as new projects launch