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Remote Analytical Method Development Jobs in Schenectady, NY

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Analyze and interpret small-molecule and drug discovery datasets using advanced computational ...

Economic Analyst- EX-ER-06

Albany, NY ยท On-site +1

$86K - $108K/yr

... in analytical techniques, and can translate complex data into clear economic and policy insights ... The provided projections are utilized in the development of State tax revenue and expenditure ...

Senior Specialist, Subcontracts

Albany, NY ยท Remote

$91K - $170K/yr

Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days- totaling 80 hours ... Familiarity with cost analysis, price analysis, and subcontractor risk assessment methodologies.

Strong analytical capabilities and ability to translate legal expertise into actionable feedback ... You will help define how AI is developed for a new generation of legal practitioners. * You will ...

Strong analytical capabilities and ability to translate legal expertise into actionable feedback ... You will help define how AI is developed for a new generation of legal practitioners. * You will ...

Treasury Analyst - AI Trainer

Albany, NY ยท Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development ...

Data Modeler

Albany, NY ยท Remote

$56 - $72.75/hr

Data Modeler Location : Remote We are currently seeking candidates who meet the following ... Analyze business requirements to identify data needs and relationships. * Design normalized and ...

Showing results 41-60

Remote Analytical Method Development information

See Schenectady, NY salary details

$86.1K

$185.2K

$278.2K

How much do remote analytical method development jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote analytical method development in Schenectady, NY is $185,196.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,900.00 and $240,900.00 per year, depending on experience, location, and employer.

What is remote analytical method development?

Remote analytical method development refers to the process of designing, optimizing, and validating laboratory analytical methods from a remote location, often using digital collaboration tools and cloud-based laboratory software. Professionals in this field work with clients or laboratory teams to develop protocols for analyzing chemical, biological, or physical samples without being physically present in a central lab. This approach enables organizations to leverage global expertise, streamline workflows, and maintain productivity, especially in situations where on-site access is limited.

What is the difference between Remote Analytical Method Development vs Remote Analytical Method Validation?

AspectRemote Analytical Method DevelopmentRemote Analytical Method Validation
Primary FocusDeveloping new analytical methods for testing samplesConfirming that existing methods meet quality and regulatory standards
Work EnvironmentLaboratory setting, often collaborative, with some remote tasksPrimarily desk-based, reviewing data, documentation, and performing validation activities remotely
Required CredentialsDegree in Chemistry, Biochemistry, or related field; certifications varySimilar credentials; often requires experience with validation protocols and regulatory guidelines

Remote Analytical Method Development focuses on creating new testing procedures, while Remote Analytical Method Validation ensures these methods are reliable and compliant. Both roles share similar educational backgrounds and often operate in regulated industries like pharmaceuticals and biotech, but their core activities differ in development versus validation tasks.

What are the key skills and qualifications needed to thrive in remote analytical method development?

To thrive in Remote Analytical Method Development, you need a solid background in chemistry or related sciences, expertise in analytical techniques (such as HPLC, GC, or spectroscopy), and often a relevant degree (BSc, MSc, or PhD). Familiarity with laboratory information management systems (LIMS), data analysis software, and validation protocols is typical, and certifications like ISO or GLP compliance can be advantageous. Strong problem-solving skills, attention to detail, and effective virtual communication are essential soft skills for collaborating with remote teams and addressing complex analytical challenges. These skills ensure accurate method development, regulatory compliance, and successful project outcomes in a distributed work environment.

What are some typical challenges faced by professionals in a remote analytical method development role, and how can they be addressed?

Professionals in remote analytical method development often encounter challenges such as limited access to laboratory equipment, coordinating experiments across distributed teams, and ensuring data integrity when working with digital tools. To overcome these, it's important to establish clear communication protocols, leverage remote-access lab technologies, and use validated software platforms for data analysis and documentation. Regular virtual meetings and collaboration with on-site lab personnel also help ensure method development progresses smoothly and stays aligned with project goals.
What cities near Schenectady, NY are hiring for Remote Analytical Method Development jobs? Cities near Schenectady, NY with the most Remote Analytical Method Development job openings:

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Albany, NY โ€ข Remote

$80 - $110/hr

Part-time

Posted 9 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 customerโ€™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 โ€” 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, Schrรถdinger, 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.