ZipRecruiter

Log In

2

Remote Analytical Method Development Jobs in Berlin, CT

L3HHCM20

Principal, Business Development

Hartford, CT · On-site +1

Remote Job Schedule: 9/80 As a Business Development Principal, you will have the exciting ... Solves hard, complex problems by analyzing broad variables to include market drivers, business ...

CVS Health

Software Development Engineer

Hartford, CT · On-site +1

$84K - $158K/yr

Analyze and report QA performance measurements including defect density, defect leakage, QA ... Hybrid position: remote work permitted but must live within commuting distance of designated office ...

previous pagenext page

Showing results 21-40

All JobsAnalytical Method Development JobsRemote Analytical Method Development JobsRemote Analytical Method Development Jobs in Berlin, CT

Remote Analytical Method Development information

See Berlin, CT salary details

$88.2K

$189.7K

$285K

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

As of Aug 22, 2026, the average yearly pay for remote analytical method development in Berlin, CT is $189,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,200.00 and $246,800.00 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 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 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 job categories do people searching Remote Analytical Method Development jobs in Berlin, CT look for?

The top searched job categories for Remote Analytical Method Development jobs in Berlin, CT are:

Remote Analytical Method Development jobs near you

Cheminformatics Specialist - Remote

micro1 AI

New Haven, CT • Remote

$80 - $110/hr

Part-time

Posted 22 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.

Apply