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Evening Remote Data Science Jobs in Manchester, NH

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Evening Remote Data Science information

See Manchester, NH salary details

$37.3K

$122.2K

$195.7K

How much do evening remote data science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for evening remote data science in Manchester, NH is $122,207.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,100.00 and $135,400.00 per year, depending on experience, location, and employer.

What is the difference between Evening Remote Data Science vs Evening Remote Data Analysis?

AspectEvening Remote Data ScienceEvening Remote Data Analysis
Required SkillsAdvanced statistical modeling, machine learning, programming (Python, R)Data cleaning, visualization, basic statistical analysis
Work EnvironmentRemote, flexible hours, project-basedRemote, flexible hours, task-focused
Industry UsageTech, finance, healthcare, researchBusiness, marketing, operations, finance

Evening Remote Data Science involves complex modeling and machine learning, often requiring programming skills and advanced analytics. In contrast, Evening Remote Data Analysis focuses on interpreting data, creating visualizations, and providing insights with less emphasis on coding. Both roles are remote and flexible but serve different analytical depths and industry applications.

What are popular job titles related to Evening Remote Data Science jobs in Manchester, NH? For Evening Remote Data Science jobs in Manchester, NH, the most frequently searched job titles are:
What job categories do people searching Evening Remote Data Science jobs in Manchester, NH look for? The top searched job categories for Evening Remote Data Science jobs in Manchester, NH are:
Evening Remote Data Science jobs near you
Infographic showing various Evening Remote Data Science job openings in Manchester, NH as of June 2026, with employment types broken down into 2% As Needed, 75% Full Time, 21% Part Time, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $122,207 per year, or $58.8 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Manchester, NH • Remote

$90 - $120/hr

Part-time

Posted 11 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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