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Home Based Bioinformatics Computational Biology Jobs

micro1 AI

Computational Biologist - AI Reviewer

Lakewood, CO · On-site +1

$90 - $120/hr

Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry ... Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics ...

micro1 AI

Computational Biologist - AI Reviewer

Waco, TX · On-site +1

$90 - $120/hr

Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry ... Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics ...

micro1 AI

Computational Biologist - AI Reviewer

Amarillo, TX · On-site +1

$90 - $120/hr

Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry ... Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics ...

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All JobsHome Based Bioinformatics Computational Biology Jobs

Home Based Bioinformatics Computational Biology information

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$49K

$203.5K

$400K

How much do home based bioinformatics computational biology jobs pay per year?

As of Aug 7, 2026, the average yearly pay for home based bioinformatics computational biology in the United States is $203,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $400,000.00 per year, depending on experience, location, and employer.

What is a home based bioinformatics computational biologist?

A Home Based Bioinformatics Computational Biologist is a professional who applies computer science, statistics, and mathematics to analyze and interpret biological data, such as genetic sequences, from a remote or home office. These specialists use specialized software and programming languages to process large datasets for research in areas like genomics, proteomics, and drug discovery. Working from home, they collaborate with research teams, interpret data, and contribute to scientific publications or projects. This role requires strong analytical, computational, and communication skills, as well as the ability to work independently.

What are the key skills and qualifications needed to thrive as a home based bioinformatics computational biologist?

To thrive as a Home Based Bioinformatics Computational Biologist, you need a strong background in biology and computer science, often supported by a relevant degree (such as bioinformatics, computational biology, or a related field). Proficiency with programming languages (like Python, R), bioinformatics tools (such as BLAST, GATK), and experience with databases and high-performance computing environments are typically required. Strong analytical thinking, problem-solving abilities, and effective communication are essential soft skills, especially for remote collaboration. These skills ensure accurate data analysis, effective research contributions, and seamless teamwork in a distributed work environment.

What are some unique challenges of working remotely in a home based bioinformatics computational biology role?

Working from home in bioinformatics computational biology offers flexibility, but it also presents unique challenges. One common challenge is maintaining effective communication and collaboration with team members, as much of the work involves interdisciplinary projects with researchers and clinicians. Managing large datasets and accessing secure computational resources remotely can require robust internet connectivity and familiarity with cloud-based tools. Additionally, staying updated with rapidly evolving software and research trends is essential, so proactive participation in virtual seminars and forums is highly beneficial.

What is the difference between Home Based Bioinformatics Computational Biology vs Home Based Data Scientist?

AspectHome Based Bioinformatics Computational BiologyHome Based Data Scientist
Required CredentialsDegree in Bioinformatics, Computational Biology, or related fields; often requires programming skillsDegree in Data Science, Computer Science, or related fields; strong statistical and programming skills
Work EnvironmentPrimarily research-focused, analyzing biological data from home, often in biotech or healthcare industriesAnalyzing large datasets across industries, including finance, tech, or healthcare, from home
Employer & Industry UsageUsed by biotech firms, research institutions, and healthcare companiesUsed across various sectors like tech, finance, healthcare, and consulting

While both roles involve data analysis and programming from home, Home Based Bioinformatics Computational Biology focuses on biological data and research, whereas Home Based Data Scientist has a broader application across multiple industries. The choice depends on your industry interest and specific skill set.

More about Home Based Bioinformatics Computational Biology jobs
What cities are hiring for Home Based Bioinformatics Computational Biology jobs? Cities with the most Home Based Bioinformatics Computational Biology job openings:
What are the most commonly searched types of Bioinformatics Computational Biology jobs? The most popular types of Bioinformatics Computational Biology jobs are:
What states have the most Home Based Bioinformatics Computational Biology jobs? States with the most job openings for Home Based Bioinformatics Computational Biology jobs include:
What job categories do people searching Home Based Bioinformatics Computational Biology jobs look for? The top searched job categories for Home Based Bioinformatics Computational Biology jobs are:
Home Based Bioinformatics Computational Biology jobs near you
Infographic showing various Home Based Bioinformatics Computational Biology job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $203,468 per year, or $97.8 per hour.

Data Scientist - Computational Biology

Penfield Search Partners

Waltham, MA • Hybrid

$63K - $64K/yr

Full-time

Posted 17 days ago

Job description

Contact: Neisha Camacho/Terra Parsons -
No 3rd party candidates
Location: Waltham, MA (Hybrid – 4 days onsite/week)
Penfield Search Partners is partnering with an innovative biotechnology company to identify a Data Scientist – Computational Biology contractor for a six-month assignment. This individual will support drug discovery research by processing, analyzing, visualizing, and interpreting next-generation sequencing (NGS) datasets, with a strong emphasis on transcriptomics and long-read sequencing technologies.

The ideal candidate has hands-on experience with RNA sequencing data, strong computational biology expertise, and enjoys collaborating closely with experimental scientists to generate biological insights that advance therapeutic discovery.

Key Responsibilities

  • Process, analyze, visualize, and interpret NGS datasets, including bulk RNA-seq, single-cell RNA-seq (scRNA-seq), and long-read RNA sequencing data.
  • Perform bioinformatics analyses including quality control, sequence alignment, quantification, differential expression, isoform characterization, splicing analysis, and biological interpretation.
  • Collaborate with cross-functional teams of experimental scientists, computational biologists, and research leaders to support target discovery and validation efforts.
  • Translate computational findings into meaningful biological insights that inform research decisions.
  • Evaluate and implement new bioinformatics tools, analytical methods, and emerging technologies relevant to transcriptomics and functional genomics.
  • Develop scripts, workflows, and analytical pipelines to support reproducible and scalable data analysis.
  • Contribute to study design, analytical strategy, and interpretation of research findings.
  • Present results and communicate complex analyses clearly to technical and non-technical stakeholders.
  • Deliver high-quality work while managing multiple priorities in a collaborative research environment.

Qualifications

  • Education & Experience
  • MS or PhD in Bioinformatics, Computational Biology, Systems Biology, Genomics, or a related scientific discipline.
  • Relevant industry, academic, or postdoctoral research experience in computational biology or bioinformatics.

Required Skills

  • Hands-on experience analyzing NGS datasets, particularly:
  • Bulk RNA-seq
  • Single-cell RNA-seq (scRNA-seq)
  • Long-read RNA sequencing using Nanopore (required)
  • Experience with PacBio sequencing is a plus.
  • Strong understanding of transcriptomics, differential expression analysis, isoform discovery, and RNA splicing analysis.
  • Proficiency in Python and/or R.
  • Experience working in Linux environments and high-performance computing (HPC) or cloud platforms such as AWS.
  • Familiarity with genome annotation resources, biological pathway databases, and systems biology concepts.
  • Commitment to reproducible research, documentation, and version control best practices.

Preferred Experience

  • Experience with additional functional genomics data such as ATAC-seq, ChIP-seq, or PRO-seq.
  • Drug discovery or biotechnology industry experience.
  • Experience collaborating with laboratory scientists in a multidisciplinary research environment.

What We're Looking For

We're seeking someone who is curious, collaborative, and scientifically driven, with excellent communication skills and the ability to work closely with both computational and experimental teams. This individual should be comfortable presenting previous research, explaining analytical approaches, and contributing to a fast-paced drug discovery environment.