2

Remote Clinical Scientist Jobs in Ridgefield, CT

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Advanced degree in life sciences, pharmacy, nursing, or medicine (PharmD, MD, MSc, or equivalent)

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Advanced degree in life sciences, pharmacy, nursing, or medicine (PharmD, MD, MSc, or equivalent)

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Advanced degree in life sciences, pharmacy, nursing, or medicine (PharmD, MD, MSc, or equivalent)

Showing results 21-40

Remote Clinical Scientist information

See Ridgefield, CT salary details

$28

$54

$81

How much do remote clinical scientist jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for remote clinical scientist in Ridgefield, CT is $54.53, according to ZipRecruiter salary data. Most workers in this role earn between $40.00 and $67.98 per hour, depending on experience, location, and employer.

What is a remote clinical scientist?

A Remote Clinical Scientist conducts clinical research, analyzes data, and supports drug or therapy development while working remotely. They collaborate with cross-functional teams, including medical, regulatory, and biostatistics professionals, to ensure study integrity and compliance. Responsibilities may include protocol development, clinical trial monitoring, and scientific data interpretation. This role typically requires expertise in clinical research, regulatory guidelines, and therapeutic areas relevant to the employer’s focus. It allows professionals to contribute to clinical advancements without being tied to a physical location.

How does a remote clinical scientist collaborate with onsite teams and manage project responsibilities from a distance?

Remote Clinical Scientists work closely with clinical research associates, data managers, and investigators through frequent virtual meetings, collaborative platforms, and electronic documentation tools. They are responsible for reviewing data, monitoring trial progress, ensuring protocol compliance, and addressing site queries, all while maintaining regular communication with onsite staff. This remote setup requires proactive scheduling, timely reporting, and strong organizational skills to stay aligned with project milestones. The ability to leverage digital communication tools ensures effective teamwork and consistent project oversight despite physical distance.

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

To excel as a Remote Clinical Scientist, you typically need an advanced degree in a life science field, experience in clinical research, and strong data analysis skills. Familiarity with electronic data capture (EDC) systems, clinical trial management software, and regulatory requirements such as GCP is crucial, as are relevant certifications like SOCRA or ACRP. Excellent communication, self-motivation, and problem-solving abilities set apart top candidates in this remote role. These skills ensure the effective oversight of clinical trials, compliance with regulations, and successful remote collaboration with multidisciplinary teams.

What job categories do people searching Remote Clinical Scientist jobs in Ridgefield, CT look for?

The top searched job categories for Remote Clinical Scientist jobs in Ridgefield, CT are:

What cities near Ridgefield, CT are hiring for Remote Clinical Scientist jobs?

Cities near Ridgefield, CT with the most Remote Clinical Scientist job openings:

Infographic showing various Remote Clinical Scientist job openings in Ridgefield, CT as of August 2026, with employment types broken down into 72% Full Time, 22% Part Time, and 6% Contract. Highlights an 6% Hybrid, and 94% Remote job distribution, with an average salary of $113,415 per year, or $54.5 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Stamford, CT • Remote

$80 - $110/hr

Part-time

Posted 15 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.