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Remote Science Jobs in Merrimack, NH (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Lowell, MA · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

micro1 AI

AI Training Specialist - Physics

Lowell, MA · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In ...

micro1 AI

AI Training Specialist - Physics

Manchester, NH · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In ...

micro1 AI

AI Training Specialist - Chemistry

Lowell, MA · Remote

$70 - $90/hr

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading customer in the scientific and research domain. In this role, you'll apply your expertise to help ...

Danaher

Filtration Sales Specialist

Lowell, MA · Remote

$100K - $130K/yr

Are you ready to accelerate your potential and make a real difference within life sciences ... The position is remote and is responsible for covering the Northeast US (New England), Quebec and ...

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All JobsScience JobsRemote Science JobsRemote Science Jobs in Merrimack, NH

Remote Science information

See Merrimack, NH salary details

$25.1K

$49.5K

$80.9K

How much do remote science jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote science in Merrimack, NH is $49,545.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,400.00 and $53,200.00 per year, depending on experience, location, and employer.

What are common challenges faced by professionals working in remote science roles, and how can they be addressed?

Professionals in remote science roles often face challenges such as effective communication across time zones, limited access to lab equipment, and maintaining collaboration with team members. To address these issues, it is helpful to establish regular virtual check-ins, utilize collaborative digital tools, and set clear expectations for project milestones. Many teams also adopt cloud-based data sharing and remote access to specialized software, ensuring that scientific work continues smoothly despite physical distance.

What remote science jobs are there?

Remote science jobs include roles such as research scientists, data analysts, laboratory technicians, and environmental consultants. These positions often require specialized knowledge, relevant degrees, and skills in data analysis, laboratory techniques, or scientific software, with many roles offering flexible schedules and the use of collaboration tools like video conferencing and cloud-based data sharing.

What is the difference between Remote Science vs Remote Data Analyst?

AspectRemote ScienceRemote Data Analyst
Required CredentialsScience degrees, research experience, technical skillsStatistics, data analysis certifications, technical skills
Work EnvironmentResearch labs, academic institutions, remote research projectsBusiness, finance, tech companies, remote data analysis roles
Employer & Industry UsageUniversities, research institutes, biotech firmsCorporations, consulting firms, tech startups
Search & Comparison IntentUnderstanding research roles, scientific projectsData analysis tasks, business insights

Remote Science and Remote Data Analyst roles share a focus on technical skills and remote work environments. However, Remote Science typically involves research, scientific experiments, and academic or biotech settings, while Remote Data Analysts focus on interpreting data for business insights in corporate environments. Both roles require analytical skills but differ in industry application and specific credentials.

What is remote science?

Remote science jobs are positions in scientific fields that can be performed outside of traditional laboratory or office environments, typically from home or any location with internet access. These jobs may include roles in research, data analysis, scientific writing, consulting, or education. Advances in technology and communication tools have made it possible for scientists to collaborate, conduct experiments, and analyze data remotely. Remote science jobs offer flexibility and can help employers and employees reach a broader talent pool. Common areas include biology, chemistry, environmental science, and healthcare research.

What skills and qualifications are needed to thrive as a remote science professional?

To thrive as a Remote Science professional, you need a strong background in your scientific discipline, analytical skills, and typically a relevant degree or higher qualification. Familiarity with data analysis tools, virtual collaboration platforms, and scientific software such as Python, R, or MATLAB is important. Excellent written communication, time management, and self-motivation are standout soft skills in this remote environment. These abilities ensure effective research, collaboration, and productivity while working independently from various locations.

What cities near Merrimack, NH are hiring for Remote Science jobs?

Cities near Merrimack, NH with the most Remote Science job openings:

Remote Science jobs near you
Infographic showing various Remote Science job openings in Merrimack, NH as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $49,545 per year, or $23.8 per hour.

Bioinformatics Software Engineer

micro1 AI

Lowell, MA • Remote

$80 - $110/hr

Part-time

Posted 11 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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