Project Based Recruitment | Biology Research Scientist | $60–$100/Hour | RWFHJ185310092026
The project combines scientific literature review, protein target validation, bioactivity database analysis, and AI-driven drug discovery. It is particularly relevant for researchers who have hands-on experience with binding or functional assays and are comfortable working with protein identification and target-validation workflows.
The role offers $60–$100 per hour, remote work, flexible scheduling, and an immediate start for qualified U.S.-based professionals.
For scientists exploring flexible work from anywhere jobs, specialized research projects like this can provide an opportunity to apply existing scientific expertise outside a traditional full-time assignment.
If you have hands-on experience in drug discovery, protein target validation, biochemical assays, or molecular biology research, this project could be an opportunity worth reviewing quickly.
Project Details
Position: Biology Research Scientist
Work Type: Project-Based / Hourly Contract
Work Arrangement: Remote
Compensation: $60–$100 per hour
Workload: 10–20 hours per week
Project Duration: 1–2 months minimum
Extension: Likely
Start: Immediate
Location Requirement: United States
Registration Link: REGISTRATION LINK HERE
Because the project is designed for specialized scientific professionals and has an immediate start, qualified candidates should consider reviewing the requirements and registering as soon as possible.
About the Project
The project supports the development of AI-driven drug discovery workflows by improving the accuracy of protein target assignments in large-scale bioactivity databases.
Researchers will work with scientific information from sources such as ChEMBL and BindingDB, along with primary literature and UniProt records.
The objective is to determine whether protein identifiers accurately correspond to the proteins being studied in scientific publications and related research materials.
This makes the project particularly relevant for scientists who understand the connection between experimental results, protein targets, pharmacological activity, and biological databases.
What Will You Do?
The work focuses on reviewing scientific evidence and applying expert judgment to protein target assignments.
Review Primary Scientific Sources
You may review primary literature and other scientific sources, including:
Research papers
Patents
Experimental findings
Protein target information
Bioactivity records
The goal is to compare the evidence presented in primary sources with the corresponding UniProt protein records.
Verify Protein Target Assignments
A key responsibility is determining whether the UniProt ID associated with a bioactivity record accurately represents the protein target being investigated.
This requires more than simply matching names. Scientists will need to interpret experimental context and determine whether the assigned protein is scientifically appropriate.
Classify Target Assignment Errors
When an assignment appears to be incorrect, you may need to flag and classify the issue using a structured taxonomy.
This requires careful attention to scientific details and consistency across the available evidence.
Recommend Correct UniProt Accessions
If a protein target has been incorrectly assigned, researchers may be asked to propose the appropriate UniProt accession.
The recommendation should be supported by evidence from the relevant scientific sources.
Document Scientific Reasoning
Researchers will also prepare concise notes explaining the reasoning behind their decisions.
The documentation should be:
Evidence-based
Scientifically accurate
Concise
Clear
Easy to review
Strong scientific writing and analytical judgment are therefore important parts of the role.
Who Is This Project For?
This opportunity is designed for experienced professionals with a background in pharmacology, biochemistry, molecular biology, or chemical biology.
The experience requirement can be met through different academic and professional paths:
BA/BS: 5+ years of relevant experience
MS: 2+ years of relevant experience
PhD: Industry or drug discovery research experience
Experience should ideally come from environments such as:
Biotechnology companies
Pharmaceutical companies
Contract Research Organizations (CROs)
Drug discovery research organizations
The project is intended for professionals with practical research experience rather than candidates whose knowledge is primarily academic or theoretical.
Hands-On Assay Experience
One of the most important requirements is practical experience with binding or functional assays.
Relevant experience can include:
Surface Plasmon Resonance (SPR)
TR-FRET
Radioligand binding
Kinase assays
GPCR functional assays
IC50 analysis
Ki analysis
KD analysis
Experience interpreting assay results and understanding how experimental evidence supports protein target identification can be particularly valuable for this project.
Current Research Experience
Candidates should currently be bench-active in a research, scientist, or associate scientist position.
This requirement is important because the project relies on current familiarity with experimental biology, assay interpretation, drug discovery workflows, and scientific literature.
Experience with workflows such as the following can also be relevant:
UniProt
Structure-activity relationship (SAR) support
High-throughput screening (HTS)
Target validation
Biochemical profiling
IND-enabling studies
Additional Skills That Can Help
Several additional areas of expertise may strengthen a candidate's profile.
Experience with ChEMBL, BindingDB, or PubChem is considered beneficial.
Other useful experience includes:
Selectivity profiling
Counterscreening
Protein target validation
Bioactivity data analysis
Drug discovery research
Agonist and antagonist classification
Activator and inhibitor distinctions
Understanding the difference between pharmacological mechanisms and biological target classifications can be particularly useful when evaluating complex scientific records.
Why This Project-Based Opportunity Stands Out
This is not a conventional biology research position focused entirely on laboratory experiments.
Instead, the project combines scientific research expertise with structured data validation.
Researchers will use their understanding of experimental biology and drug discovery to improve the quality of datasets used in AI research.
That combination makes the project especially interesting for scientists who want to work at the intersection of:
Biology + Drug Discovery + Scientific Literature + Data Quality + Artificial Intelligence
For experienced researchers, it can also be an opportunity to contribute specialized knowledge to an emerging AI-related workflow without taking on a traditional full-time role.
Remote Work and Flexible Hours
The engagement is fully remote and structured as an independent contractor position.
The expected workload is approximately 10–20 hours per week, with work completed according to the project's requirements and the professional's schedule.
The initial engagement is expected to last at least 1–2 months, with the possibility of an extension depending on project needs and performance.
This structure may be suitable for professionals who want to take on focused scientific projects while maintaining flexibility.
Compensation
The project offers an estimated rate of $60–$100 per hour, depending on experience and qualifications.
With a workload of approximately 10–20 hours per week, the opportunity may be particularly attractive to experienced scientists looking for specialized project-based work.
Payments are made weekly through available contractor payment methods based on services rendered.
Important Eligibility Information
The opportunity is currently limited to U.S.-based professionals.
Applicants should also be aware that H-1B and STEM OPT candidates are not supported for this project.
The work does not require access to confidential or proprietary information from a current or previous employer. Project activities are structured around the materials and tasks provided for the engagement.
How to Apply
If your professional background includes molecular biology, pharmacology, biochemistry, chemical biology, protein target validation, or drug discovery research, this project is worth reviewing carefully.
Before registering, make sure your experience aligns with the key requirements, particularly:
Relevant professional research experience
Hands-on binding or functional assay experience
Current bench research activity
Familiarity with protein targets and UniProt
Strong scientific literature review skills
Ability to document evidence-based conclusions
Registration Link: REGISTRATION LINK HERE
The project indicates an immediate start, so qualified professionals who are interested should consider registering promptly rather than waiting until later.
Final Thoughts
The growth of AI-driven drug discovery is creating new opportunities for scientists to contribute expertise beyond conventional laboratory research.
This project specifically calls for professionals who can connect primary scientific literature, experimental biology, protein targets, bioactivity data, and database identifiers.
For an experienced Biology Research Scientist, the combination of a $60–$100 hourly rate, remote work, flexible 10–20 hour weekly workload, and an immediate project start makes this a potentially attractive project-based opportunity.
If your experience matches the requirements, review the registration details and consider applying as soon as possible.
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