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Next Generation Sequencing Data Analysis Remote Jobs in Indiana

micro1 AI

Digital Chemistry Specialist - Remote

Carmel, IN · Remote

$90 - $120/hr

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources.

micro1 AI

Pharmacovigilance Expert

South Bend, IN · Remote

$70 - $80/hr

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

micro1 AI

Pharmacovigilance Expert

Carmel, IN · Remote

$70 - $80/hr

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

micro1 AI

Clinical Pharmacy Technicians

Fort Wayne, IN · Remote

$70 - $80/hr

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

micro1 AI

Clinical Pharmacy Technicians

Fishers, IN · Remote

$70 - $80/hr

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

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Next Generation Sequencing Data Analysis Remote information

What are some typical challenges faced when working remotely in next generation sequencing (NGS) data analysis, and how can they be addressed?

A common challenge when working remotely in NGS data analysis is ensuring secure and efficient access to large datasets and high-performance computing resources. Collaborating with interdisciplinary teams, such as bioinformaticians, biologists, and IT staff, is also crucial and can be more complex in a remote environment. To address these challenges, remote analysts often use cloud-based platforms for data storage and analysis, establish clear communication channels with team members, and adhere to strict data security protocols. Regular virtual meetings and project management tools can also help maintain collaboration and project momentum.

What is next generation sequencing (NGS) data analysis in a remote role?

Next Generation Sequencing (NGS) Data Analysis refers to the process of interpreting the massive amounts of data generated by high-throughput DNA sequencing technologies. In a remote role, professionals use specialized bioinformatics tools and computational methods to process, analyze, and visualize genomic data from their home or remote office. This involves tasks such as quality control, alignment of sequencing reads, variant calling, and downstream biological interpretation. Remote NGS data analysts often collaborate with researchers, clinicians, or pharmaceutical companies to support projects in genomics, personalized medicine, and biomedical research.

What are the key skills and qualifications needed to thrive as a next generation sequencing (NGS) data analyst, and why are they important?

To thrive as a Next Generation Sequencing Data Analyst, you need a strong background in bioinformatics, molecular biology, and statistics, often supported by a degree in a life science or computational field. Familiarity with NGS platforms, data analysis tools (such as GATK, BWA, or SAMtools), scripting languages (Python, R), and experience with cloud-based or Linux environments are typically required. Problem-solving, attention to detail, and effective communication are critical soft skills for interpreting complex data and collaborating with interdisciplinary teams. These skills and tools are essential for accurately processing and interpreting large genomic datasets, which drive discoveries and clinical decision-making.
What are the most commonly searched types of Next Generation Sequencing Data Analysis jobs in Indiana? The most popular types of Next Generation Sequencing Data Analysis jobs in Indiana are:
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Next Generation Sequencing Data Analysis Remote jobs near you
Infographic showing various Next Generation Sequencing Data Analysis Remote job openings in Indiana as of August 2026, with employment types broken down into 73% Full Time, 11% Part Time, and 16% Contract. Highlights an 100% Remote job distribution.

Digital Chemistry Specialist - Remote

micro1 AI

Evansville, IN • Remote

$90 - $120/hr

Part-time

Posted 13 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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