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Remote Scientist Algae Research Jobs in Raritan, NJ

Mercor

ML Research Scientist - PhD

New York, NY · Remote

$110 - $145/hr

ML Research PhD Experts (ICML / NeurIPS / ICLR Publications) Type: Contract Compensation: $110-$145 ... Remote Role Responsibilities * Evaluate the accuracy and depth of AI-generated content to ...

Snorkel AI

Research Scientist

New York, NY · On-site +1

$200K - $350K/yr

As a Research Scientist at Snorkel AI, you will bridge the gap between cutting-edge research and ... San Francisco OR REMOTE Main Responsibilities * Design, implement, and validate novel AI techniques ...

Mercor

AI Research Scientist - PhD

New York, NY · On-site +1

$66 - $84/hr

Remote Commitment: 10+ hours/week Role Responsibilities * Author original computer science ... Research publications, industry experience at top tech companies, or competitive programming ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Our full-stack Data Science Team uses Python for research and development. Our wide range of ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Mercor

ADC/Bispecifics R&D Scientist

New York, NY · On-site +1

$85 - $142/hr

Remote Role Responsibilities * Review technical materials and real-world R&D data across ADC and/or bispecific programs. * Label, classify, and annotate scientific data and model outputs to improve ...

YO AI Labs

AI Data Scientist - Remote

New York, NY · Remote

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Perform independent research and fact-checking to validate technical information. * Annotate data ...

YO AI Labs

AI Data Science Expert - Remote

New York, NY · Remote

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Perform independent research and fact-checking to validate technical information. * Annotate data ...

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All JobsScientist Algae Research JobsRemote Scientist Algae Research JobsRemote Scientist Algae Research Jobs in Raritan, NJ

Remote Scientist Algae Research information

See Raritan, NJ salary details

$51.7K

$133.2K

$178.2K

How much do remote scientist algae research jobs pay per year?

As of Aug 27, 2026, the average yearly pay for remote scientist algae research in Raritan, NJ is $133,244.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $177,200.00 per year, depending on experience, location, and employer.

What does a remote scientist in algae research do?

A Remote Scientist in Algae Research studies various species of algae, often using digital tools and remote sensors to monitor growth, analyze samples, and model environmental impact. Their work may include researching algae for biofuel production, environmental sustainability, carbon capture, or biotechnology applications. They collaborate with research teams, often communicating online, to design experiments, interpret data, and publish findings. This role typically requires a strong background in biology, ecology, or environmental science, and familiarity with remote data collection technologies.

What are the key skills and qualifications needed to thrive as a remote scientist in algae research?

To thrive as a Remote Scientist in Algae Research, you need a solid background in biology or environmental science, experience in algal cultivation and analysis, and typically a relevant advanced degree. Familiarity with laboratory data analysis software, remote sensing tools, and possibly bioinformatics platforms is highly valued. Strong problem-solving, self-motivation, and effective written communication are essential soft skills, especially when working remotely and collaborating across teams. These skills ensure accurate research, effective collaboration, and meaningful contributions to advancing algae-based solutions in a distributed work environment.

What are some common challenges faced by remote scientists conducting algae research, and how can they be addressed?

Remote scientists in algae research often face challenges such as limited access to laboratory facilities, coordinating experiments across different locations, and communicating effectively with on-site teams. To address these, many teams utilize cloud-based data sharing platforms, virtual lab meetings, and remote monitoring tools for experiments. Staying organized with clear protocols and regular communication helps ensure research continuity and accuracy. Additionally, remote roles may involve more self-directed work, making time management and proactive collaboration essential for success.

What are popular job titles related to Remote Scientist Algae Research jobs in Raritan, NJ?

For Remote Scientist Algae Research jobs in Raritan, NJ, the most frequently searched job titles are:

What cities near Raritan, NJ are hiring for Remote Scientist Algae Research jobs?

Cities near Raritan, NJ with the most Remote Scientist Algae Research job openings:

Remote Scientist Algae Research jobs near you
Infographic showing various Remote Scientist Algae Research job openings in Raritan, NJ as of June 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution, with an average salary of $133,244 per year, or $64.1 per hour.

Biology Research Scientist - Remote

New York, NY • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

Full-time

Posted 5 days ago

Job description

Biology Research Scientist

Job Type: Contractor
Location: Remote
Hours: 10–20 hours/week
Duration: 1–2 months minimum, with likely extension
Start: Immediate

Job Overview

We are seeking experienced Biology Research Scientists to support a project focused on validating protein target assignments against primary scientific sources and UniProt records.

You will review research papers and patents, identify target assignment errors, propose corrected UniProt accessions, and provide concise, evidence-based scientific reasoning.

Key Responsibilities
  • Review primary research papers and patents to verify protein target assignments.
  • Compare target assignments against UniProt and identify discrepancies.
  • Classify target assignment errors using a structured taxonomy.
  • Propose accurate UniProt accessions where assignments are incorrect.
  • Document clear, concise, evidence-grounded reasoning for each determination.
  • Apply expertise in pharmacology, biochemistry, molecular biology, or chemical biology to evaluate target relationships.
Required Skills
  • Protein Target Identification
  • UniProt
  • Primary Literature Review
  • Protein Biochemistry
  • Molecular Biology
  • Pharmacology
  • Binding & Functional Assays
  • Scientific Data Interpretation
  • Evidence-Based Reasoning
  • Technical Documentation
Qualifications
  • BA/BS + 5 years, MS + 2 years, or PhD with relevant industry/drug discovery experience.
  • Background in pharmacology, biochemistry, molecular biology, or chemical biology within biotech, pharma, or CRO environments.
  • Hands-on experience with assays such as SPR, TR-FRET, radioligand binding, kinase assays, or GPCR functional assays.
  • Experience interpreting IC50, Ki, and Kd data.
  • Currently active in a bench-based research, scientist, or associate scientist role.
  • Working knowledge of UniProt or related workflows such as SAR, HTS, target validation, biochemical profiling, or IND-enabling studies.
Nice to Have
  • Experience with ChEMBL, BindingDB, or PubChem.
  • Selectivity profiling or counterscreening experience.
  • Understanding of agonist/antagonist vs. activator/inhibitor distinctions.
Screening Questions
  1. What is your highest relevant degree and how many years of industry research experience do you have?
  2. What is your experience with protein target identification and UniProt?
  3. Which binding or functional assays have you performed hands-on?
  4. Do you have experience interpreting IC50, Ki, or Kd data?
  5. Have you worked with ChEMBL, BindingDB, or PubChem?
  6. Are you currently bench-active in a research or scientist role?
  7. Are you available for 10–20 hours per week with an immediate start?