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Phd In Nursing Remote Jobs in Manchester, NH (NOW HIRING)

DataAnnotation

M&A Associate - AI Trainer

Manchester, NH · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... A Master's or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include ...

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Phd In Nursing Remote information

What is a PhD in nursing remote?

A PhD in Nursing Remote job allows nursing professionals with a doctoral degree to work in academic, research, or leadership roles from a remote location. These positions often involve teaching online courses, conducting research, or contributing to healthcare policy and administration. Remote PhD nursing jobs can be found in universities, research institutions, healthcare organizations, or consulting firms. They offer flexibility while allowing professionals to apply their advanced knowledge in nursing science.

What are some typical responsibilities for a remote PhD in nursing position?

A remote PhD in Nursing professional may engage in responsibilities such as conducting research, publishing scholarly articles, developing curricula, and teaching or mentoring students online. Other duties can include grant writing, participating in virtual committees, and consulting on advanced nursing practice and policy projects. Collaboration with academic teams, healthcare organizations, or research partners typically happens through video conferencing and shared digital workspaces, fostering a dynamic yet flexible work environment. This remote structure offers autonomy but also relies on strong communication skills to maintain connection with colleagues and stakeholders.

What are the key skills and qualifications needed to thrive in the PhD in nursing remote position, and why are they important?

Excelling as a remote PhD in Nursing professional requires an advanced degree in nursing (PhD), expertise in research methodology, and strong clinical and academic credentials. Familiarity with digital collaboration platforms, learning management systems, and data analysis software is often necessary. Exceptional written communication, self-motivation, and time management skills set top candidates apart in a remote setting. These capabilities enable effective research, teaching, or consulting contributions and ensure productivity and engagement from a distance.

What are popular job titles related to Phd In Nursing Remote jobs in Manchester, NH?

For Phd In Nursing Remote jobs in Manchester, NH, the most frequently searched job titles are:

What job categories do people searching Phd In Nursing Remote jobs in Manchester, NH look for?

The top searched job categories for Phd In Nursing Remote jobs in Manchester, NH are:

What cities near Manchester, NH are hiring for Phd In Nursing Remote jobs?

Cities near Manchester, NH with the most Phd In Nursing Remote job openings:

Phd In Nursing Remote jobs near you
Infographic showing various Phd In Nursing Remote job openings in Manchester, NH as of August 2026, with employment types broken down into 4% Internship, 67% Full Time, 21% Part Time, 4% Temporary, and 4% Contract. Highlights an 100% Remote job distribution.

Cheminformatics Specialist - Remote

micro1 AI

Manchester, NH • Remote

$80 - $110/hr

Part-time

Posted 28 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.

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