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Remote Phd Public Policy Jobs in Indiana (NOW HIRING)

... advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding ... Comfort working with public chemical and bioactivity databases and integrating diverse datasets for ...

... advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding ... Comfort working with public chemical and bioactivity databases and integrating diverse datasets for ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Comfort working with public chemical and bioactivity databases and integrating diverse datasets for ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Comfort working with public chemical and bioactivity databases and integrating diverse datasets for ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Comfort working with public chemical and bioactivity databases and integrating diverse datasets for ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Comfort working with public chemical and bioactivity databases and integrating diverse datasets for ...

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Remote Phd Public Policy information

What is a remote PhD public policy job?

Remote PhD Public Policy jobs are positions that allow individuals with a doctoral degree in public policy (or a related field) to work from a location outside of a traditional office setting, often from home. These roles typically involve research, policy analysis, consulting, teaching, or advising on policy matters for government agencies, think tanks, academic institutions, or non-profits. Remote work arrangements enable greater flexibility and access to opportunities worldwide, especially for those specializing in policy research, data analysis, and academic writing. Common tasks may include preparing policy briefs, conducting data-driven analysis, publishing research, and participating in virtual conferences or meetings.

What are the key skills and qualifications needed to thrive as a remote PhD public policy analyst, and why are they important?

To excel as a Remote PhD Public Policy Analyst, you need a doctoral degree in public policy or a related field, exceptional analytical abilities, and expertise in policy research and evaluation. Familiarity with statistical analysis software (e.g., Stata, R, SPSS), data visualization tools, and experience with remote collaboration platforms is crucial. Superior written communication, critical thinking, and self-motivation distinguish top professionals in this role. These skills ensure effective, evidence-based policy analysis and impactful contributions to organizations and stakeholders, even in a remote work environment.

What are the most common challenges faced by remote PhD public policy professionals and how can they be addressed?

Remote PhD Public Policy professionals often encounter challenges such as staying engaged with policy developments, building professional networks, and maintaining effective communication with colleagues and stakeholders. To address these, it's important to proactively participate in virtual policy forums, schedule regular video meetings with your team, and leverage digital collaboration tools for research and project management. Additionally, seeking out mentorship and joining relevant online communities can help you stay connected and informed while working remotely.

What are the most commonly searched types of Phd Public Policy jobs in Indiana?

The most popular types of Phd Public Policy jobs in Indiana are:

What are popular job titles related to Remote Phd Public Policy jobs in Indiana?

For Remote Phd Public Policy jobs in Indiana, the most frequently searched job titles are:

What cities in Indiana are hiring for Remote Phd Public Policy jobs?

Cities in Indiana with the most Remote Phd Public Policy job openings:

Cheminformatics Specialist - Remote

Evansville, IN • Remote

micro1 AI
Software Development • 11 - 50 employees

$80 - $110/hr

Part-time

Posted 25 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.