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Biotech Data Science Remote Jobs in Illinois (NOW HIRING)

Biotech Health Data Governance Lead (AI Training) About the Role What if your expertise in clinical ... This is a fully remote, flexible contract role built for experienced professionals in life sciences ...

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Senior Data Scientist

Chicago, IL · On-site +1

$140K - $160K/yr

Senior Data Scientist - (Remote) Location: Remote (Company Headquarters: Chicago, IL) Salary Range: $140,000 - $160,000 per year Employment Type: Full-Time About Us: We are an innovative software ...

Data Science Intern

Chicago, IL · On-site +1

$1.20K/wk

Data Science Intern at Rundoo Our mission is to empower independent supply stores with best-in ... final call (remote) - A closing conversation with our CEO. About Our Founders * Andrew (CTO): ...

Director of Data Science

Chicago, IL · On-site +1

$153.20K - $229.80K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

This is a fully remote, flexible contract role. No prior AI industry experience required - just deep, hands-on command of data science and the ability to think critically about how models reason.

... data science solutions are scalable, reliable, and aligned to strategic priorities. WORK AUTHORIZATION & LOCATION REQUIREMENT This position is primarily remote but requires candidates to reside ...

... data science solutions are scalable, reliable, and aligned to strategic priorities. WORK AUTHORIZATION & LOCATION REQUIREMENT This position is primarily remote but requires candidates to reside ...

... data science solutions are scalable, reliable, and aligned to strategic priorities. WORK AUTHORIZATION & LOCATION REQUIREMENT This position is primarily remote but requires candidates to reside ...

Data Scientist

Chicago, IL · On-site +1

$90.16K - $135.24K/yr

... science team responsible for designing and delivering powerful analytical insights utilizing ... This role can have a Hybrid or Remote work arrangement depending on experience and skillset.

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Biotech Data Science Remote information

What are the key skills and qualifications needed to thrive as a Biotech Data Scientist in a remote role, and why are they important?

To thrive as a Biotech Data Scientist in a remote role, you need a strong background in biology or biotechnology, advanced data analysis skills, and proficiency in programming languages like Python or R, often supported by a relevant degree. Familiarity with bioinformatics tools, machine learning frameworks, and cloud-based collaboration platforms is typically required. Excellent communication, problem-solving abilities, and self-motivation are crucial soft skills for effective remote teamwork and project delivery. These competencies ensure accurate data-driven insights, seamless remote collaboration, and impactful contributions to biotech research and innovation.

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

Remote biotech data scientists often encounter challenges related to cross-disciplinary collaboration and data accessibility, as projects frequently require input from wet lab scientists, clinicians, and IT specialists. Effective communication tools, regular virtual meetings, and clear project management protocols can help bridge these gaps. Additionally, ensuring secure and reliable access to large and sensitive datasets is essential, so familiarity with cloud platforms and data governance best practices is beneficial for success in this role.

What is a remote biotech data scientist?

A remote biotech data scientist is a professional who applies data analysis, machine learning, and statistical methods to biological and biomedical data while working from a location outside of a traditional office. They help interpret complex datasets from experiments, clinical trials, or genomics to aid in research, drug development, and healthcare innovation. Their work involves programming, data visualization, and collaborating with cross-functional teams, all done virtually. Remote biotech data scientists typically use tools like Python, R, and specialized bioinformatics software to analyze data and generate insights.
What are the most commonly searched types of Biotech Data Science jobs in Illinois? The most popular types of Biotech Data Science jobs in Illinois are:
What job categories do people searching Biotech Data Science Remote jobs in Illinois look for? The top searched job categories for Biotech Data Science Remote jobs in Illinois are:
What cities in Illinois are hiring for Biotech Data Science Remote jobs? Cities in Illinois with the most Biotech Data Science Remote job openings:
Infographic showing various Biotech Data Science Remote job openings in Illinois as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Biotech Health Data Governance Lead

Alignerr

Chicago, IL • 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 clinical data and regulatory compliance could directly shape how AI understands and handles some of the most sensitive - and consequential - data in the world? We're looking for a Biotech Health Data Governance Lead to ensure that research and clinical trial data is accurate, traceable, compliant, and ready to power scientific discovery, regulatory filings, and next-generation AI models.
This is a fully remote, flexible contract role built for experienced professionals in life sciences, biotech, or regulated research environments who want to do meaningful 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 for scientific analysis and regulatory submissions
  • Define and enforce data policies covering classification, access control, security, and metadata management across research, clinical, regulatory, and partner teams
  • Enable secure, governed access to data assets for analytics, innovation, and external collaborations - while protecting confidential and patient-related information
  • Identify gaps in existing data governance frameworks and recommend improvements aligned with regulatory expectations
  • Collaborate with scientific, IT, compliance, and business stakeholders to align data standards and operational workflows
Who You Are
  • Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or other regulated data environments
  • Strong working knowledge of data privacy, security, compliance, and regulatory expectations for research and clinical trial data
  • Skilled at bridging technical and non-technical teams - you can translate complex data governance requirements into practical workflows
  • Detail-oriented, systematic, and comfortable working independently in a remote, asynchronous environment
  • A clear written communicator who can document policies, findings, and recommendations with precision
Nice to Have
  • Prior experience with data annotation, data quality evaluation, or AI training data systems
  • Familiarity with frameworks such as GDPR, HIPAA, ICH E6, or 21 CFR Part 11
  • Background in data stewardship, metadata management, or master data management in life sciences
  • Exposure to clinical data management systems or regulatory submission workflows
Why Join Us
  • Work on cutting-edge AI and life sciences projects alongside leading research labs
  • Fully remote and flexible - work when and where it suits you
  • Freelance autonomy with the structure of meaningful, high-stakes work
  • Make a direct impact on how AI handles and learns from regulated biotech and clinical data
  • Potential for ongoing work and contract extension as new projects launch