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Remote Biology Data Scientist Jobs in Springfield, MA

... biological, and clinical data sources. * Provide expert insights on structure-activity and ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

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

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Remote Recruiter

Stafford Springs, CT ยท On-site +1

$60K - $65K/yr

Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ... You can access our privacy policy at volt-information-sciences-privacy-policy.pdf

... biology, genetics, chemical reactions, forces and motion, energy, and earth systems. Ability to explain scientific principles, laboratory techniques, and data analysis methods while preparing ...

High School Science Tutor

Hartford, CT ยท Remote

$18 - $40/hr

... biology, genetics, chemical reactions, forces and motion, energy, and earth systems. Ability to explain scientific principles, laboratory techniques, and data analysis methods while preparing ...

Life Sciences Tutor

Hartford, CT ยท Remote

$18 - $40/hr

Deep knowledge of cell biology, molecular biology, genetics, evolution, ecology, organismal biology ... data. Emphasizes systems-level thinking and connects life sciences to medicine, agriculture ...

Life Sciences Tutor

Northampton, MA ยท Remote

$18 - $40/hr

Deep knowledge of cell biology, molecular biology, genetics, evolution, ecology, organismal biology ... data. Emphasizes systems-level thinking and connects life sciences to medicine, agriculture ...

Senior Staff AI Data Engineer

Hartford, CT ยท On-site +1

$106K - $145K/yr

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations ... Develop data domains and data products to support reporting, analytics, AI/ML, and data science use ...

Global Market Intelligence Manager

Enfield, CT ยท On-site +1

$95K - $115K/yr

Solid scientific or technical background and excellent insight into lifescience, biological and ... Remote role with visibility expected in the Enfield, CT office , plus travel (25-30%) to customer ...

Showing results 21-40

Remote Biology Data Scientist information

See Springfield, MA salary details

$37.4K

$122.3K

$195.8K

How much do remote biology data scientist jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote biology data scientist in Springfield, MA is $122,309.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,200.00 and $135,500.00 per year, depending on experience, location, and employer.

What is a remote biology data scientist?

A Remote Biology Data Scientist is a professional who applies data science techniques such as statistical analysis, machine learning, and big data management to biological datasets, often working from a location outside of a traditional office. Their work involves analyzing complex biological data such as genomics, proteomics, or ecological information to extract meaningful insights and support scientific research or business decisions. As remote employees, they use digital tools to collaborate with research teams, manage large datasets, and communicate findings. This role requires strong skills in biology, programming, and data analysis, as well as the ability to work independently.

What skills and qualifications are needed to thrive as a remote biology data scientist?

To thrive as a Remote Biology Data Scientist, you need a strong background in biology, statistics, and data analysis, typically supported by an advanced degree in a relevant field. Familiarity with programming languages like Python or R, experience with bioinformatics tools, and knowledge of cloud-based data platforms are commonly required. Excellent problem-solving skills, communication abilities, and self-motivation are vital soft skills for remote work and cross-functional collaboration. These competencies enable effective analysis of complex biological datasets and drive meaningful scientific insights from remote environments.

How do remote biology data scientists typically collaborate with research teams and stakeholders in a remote work setting?

Remote Biology Data Scientists commonly use digital collaboration tools, such as video conferencing, project management platforms, and shared code repositories, to communicate and coordinate with cross-functional research teams. Regular virtual meetings are scheduled to discuss data analysis progress, interpret results, and align on research objectives. Despite working remotely, data scientists often participate in collaborative brainstorming sessions and contribute to joint publications or grant proposals. Effective communication and proactive participation in team channels are key to staying integrated and productive in the research workflow.

What is the difference between Remote Biology Data Scientist vs Remote Bioinformatics Analyst?

AspectRemote Biology Data ScientistRemote Bioinformatics Analyst
Required CredentialsDegree in Biology, Data Science, or related field; proficiency in programming and statistical toolsDegree in Bioinformatics, Biology, or related; strong programming and analytical skills
Work EnvironmentCollaborates with research teams, often in biotech or pharma industries, remotelyWorks with genomic or biological data, often in research institutions or biotech companies, remotely
Employer & Industry UsageBiotech, pharmaceutical, research organizationsGenomics labs, research institutions, biotech firms

Both roles involve analyzing biological data remotely, but the Biology Data Scientist focuses more on statistical modeling and data analysis, while the Bioinformatics Analyst specializes in genomic data processing and bioinformatics tools. The choice depends on your specific skills and industry focus.

What are popular job titles related to Remote Biology Data Scientist jobs in Springfield, MA?

For Remote Biology Data Scientist jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Remote Biology Data Scientist jobs in Springfield, MA look for?

The top searched job categories for Remote Biology Data Scientist jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Remote Biology Data Scientist jobs?

Cities near Springfield, MA with the most Remote Biology Data Scientist job openings:

Infographic showing various Remote Biology Data Scientist job openings in Springfield, MA as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $122,309 per year, or $58.8 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Springfield, MA โ€ข Remote

$80 - $110/hr

Part-time

Posted 18 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 customerโ€™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 โ€” 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, Schrรถdinger, 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.