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Remote Material Science Postdoc Jobs in Indiana (NOW HIRING)

Belden

Data Technical Specialist - Remote

Richmond, IN · On-site +1

$104.90K - $155.10K/yr

Extensive knowledge on SAP Data model (Materials, Business Partners, BOMs, Routings, etc ... Bachelor's degree in Computer Science, Information Technology, or a related field. Strong ...

Belden Inc

Data Technical Specialist - Remote

Richmond, IN · On-site +1

$101.40K - $152.10K/yr

Extensive knowledge on SAP Data model (Materials, Business Partners, BOMs, Routings, etc ... Bachelor's degree in Computer Science, Information Technology, or a related field. * Strong ...

Belden Inc

Data Technical Specialist - Remote

Richmond, IN · On-site +1

$101.40K - $152.10K/yr

Extensive knowledge on SAP Data model (Materials, Business Partners, BOMs, Routings, etc ... Bachelor's degree in Computer Science, Information Technology, or a related field. * Strong ...

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Remote Material Science Postdoc information

What is the difference between Remote Material Science Postdoc vs Remote Materials Engineer?

AspectRemote Material Science PostdocRemote Materials Engineer
Required CredentialsPhD in Material Science or related fieldBachelor's or Master's in Materials Engineering or related
Work EnvironmentResearch-focused, academic or lab setting, remote options availableIndustry-focused, product development, remote or hybrid options
Employer & Industry UsageUniversities, research institutes, some industry R&DManufacturing, aerospace, electronics, and related industries

The main difference is that Remote Material Science Postdocs are primarily involved in research and academic projects, often requiring a PhD, while Remote Materials Engineers focus on applying material science principles to develop products and solutions in industry, typically with a bachelor's or master's degree. Both roles may be remote, but their core responsibilities and work environments differ significantly.

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Remote Material Science Postdoc jobs near you

Medical Science Liaison (MSL)

Alignerr

Indianapolis, IN • Remote

Full-time

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

Job description

Medical Science Liaison (MSL) - AI Training
About the Role
We're looking for experienced Medical Science Liaisons and medical affairs professionals to help train and evaluate AI systems designed for life-science and clinical applications. Your scientific expertise will directly shape how AI understands, interprets, and communicates complex biomedical information - making a real impact on the future of healthcare AI.
This is a fully remote, flexible contract role ideal for MSLs, clinical educators, and scientific advisors who want to contribute their expertise beyond traditional field work.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
    • What You'll Do
    • Review and evaluate AI-generated clinical and biomedical content for scientific accuracy, clarity, and appropriateness for healthcare professional audiences
    • Validate that complex clinical trial data, safety information, and medical evidence are accurately represented in AI outputs
    • Develop and assess scientific communication strategies grounded in real-world medical evidence and HCP engagement experience
    • Identify errors, gaps, or misleading content in AI-generated medical narratives and suggest evidence-based improvements
    • Provide structured feedback using standardized evaluation frameworks to continuously improve AI model quality
    • Work independently and asynchronously on your own schedule
    Who You Are
    • Background in medical affairs, clinical research, or scientific communications with direct HCP engagement experience
    • Strong ability to interpret clinical publications, trial data, and regulatory materials
    • Experience in a field-based or externally facing medical role - MSL, clinical educator, medical advisor, or similar
    • Comfortable evaluating scientific content for both technical accuracy and communicative effectiveness
    • Detail-oriented, self-motivated, and able to work independently
    Nice to Have
    • Prior experience with data annotation, content evaluation, or AI quality review
    • Familiarity with medical affairs workflows across therapeutic areas
    • Advanced degree in a life-science or clinical discipline (PharmD, PhD, MD, or equivalent)
    Why Join Us
    • Work on cutting-edge AI projects at the intersection of life sciences and artificial intelligence
    • Fully remote and flexible - work on your own schedule, as much or as little as suits you
    • Freelance perks: autonomy, variety, and collaboration with global experts
    • Contribute to meaningful work that helps AI get medicine right
    • Potential for ongoing work and contract extension

Apply