PERMANENT

FULL_TIME

HOUR

Join a cutting-edge and innovative Quantitative Biosciences department focused on advancing drug discovery through computational science, high-throughput experimentation, and multidisciplinary collaboration. This role is ideal for candidates who are intellectually curious and interested in the intersection of machine learning, computational science, and drug discovery, with opportunities for growth in a highly collaborative research environment.

<h2>Data Scientist – Contractor (Quantitative Biosciences)</h2>Location: Rahway, NJ (Hybrid: 3 days onsite, 2 days remote)<h3>Overview</h3>Join a cutting-edge and innovative Quantitative Biosciences department focused on advancing drug discovery through computational science, high-throughput experimentation, and multidisciplinary collaboration.We apply robust scientific methodologies, translational models, and advanced automation to better understand biological systems and molecular mechanisms, enabling the development of next-generation medicines.This role offers the opportunity to work on complex, high-dimensional biological data across multiple modalities, directly supporting biologists and chemists in early-stage drug discovery.<hr/><h3>Qualifications</h3><ul><li>Minimum Education: Bachelor’s degree in Computational Physics, Chemistry, Bioinformatics, Computer Science, or another relevant quantitative field.</li><li>Advanced Degrees (acceptable): Master’s or PhD in Computational Physics, Chemistry, Bioinformatics, Computer Science, or related disciplines.</li><li>Experience: 0–3 years of relevant experience.</li></ul><hr/><h3>Required Skills</h3><ul><li>Proficiency in Python for scientific computing (e.g., NumPy, PyTorch, SciPy, pandas).</li><li>Experience with high-performance computing (HPC) in Unix/Linux environments or cloud platforms (e.g., AWS).</li><li>Hands-on experience in data science and machine learning.</li><li>Working knowledge of biochemistry and/or chemistry.</li></ul><hr/><h3>Nice to Have</h3><ul><li>Experience in pharmaceutical early drug discovery research.</li><li>Exposure to advanced machine learning applications, especially in drug discovery contexts.</li><li>Experience developing large-scale chemical foundation models, virtual screening models, or protein structure prediction models.</li></ul><hr/><h3>Responsibilities</h3>As a Data Scientist within the Quantitative Biosciences team, you will:<ul><li>Develop machine learning and deep learning workflows to support novel drug discovery.</li><li>Build and improve property prediction models for small molecules and peptides.</li><li>Collaborate with interdisciplinary teams to apply computational and statistical methods for drug target identification and lead optimization.</li><li>Analyze complex, high-throughput experimental datasets across multiple biological modalities.</li><li>Conduct research in machine learning, molecular modeling, and computational biology.</li><li>Communicate insights and analytical results clearly to scientific stakeholders, both verbally and in writing.</li><li>Support experimental design by providing data-driven interpretation and guidance.</li></ul><hr/><h3>Role Summary</h3>This role is ideal for candidates who are intellectually curious and interested in the intersection of machine learning, computational science, and drug discovery, with opportunities for growth in a highly collaborative research environment.

Talent Software Services

Data Scientist - I (Assistant)

Amazon Web Services (AWS)

Analysis Skills

Automation

Biochemistry

Bioinformatics

Biology

Biotech and Pharmaceutical

Chemistry

Cloud Computing

Computational Chemistry

Computational Physics

Computer Science

Data Science

Data Sets

Deep Learning

Drug Discovery

Experiment Design

High Throughput

Linux Operating System

Machine Learning

Medical Products

Predictive Modeling

Python Programming/Scripting Language

Research Skills

Small Molecules

Team Player

Unix Operating Systems

monster

UNKNOWN

FEED

Working fluency with UniProt or adjacent workflows: SAR support, HTS, target validation, biochemical profiling, or IND-enabling studies. Hands-on binding or functional assay experience (SPR, TR-FRET, radioligand binding, kinase assays, GPCR functional assays, IC50/Ki/KD).

About the jobMercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.Position: Biology Research Scientist (BA, MS, PhD's) Type:Contract Compensation:$50–$70/hour Location:Remote Duration:1–2 month minimum, extension likely Commitment:10–20 hours/weekRole Responsibilities<ul><li>Access primary sources such as papers and patents to verify protein target assignments against UniProt records.</li><li>Flag and classify target assignment errors using a structured taxonomy to ensure data accuracy.</li><li>Propose correct UniProt accessions where assignments are incorrect to enhance database reliability.</li><li>Write concise, evidence-grounded notes explaining your reasoning to support AI drug discovery pipelines.</li><li>Work independently and asynchronously to meet deadlines and improve data integrity.</li></ul>QualificationsMust-Have<ul><li>BA/BS with 5+ years, MS with 2+ years, or PhD with industry or drug discovery research experience in pharmacology, biochemistry, molecular biology, or chemical biology.</li><li>Hands-on binding or functional assay experience (SPR, TR-FRET, radioligand binding, kinase assays, GPCR functional assays, IC50/Ki/KD).</li><li>Currently bench-active in a research, scientist, or associate scientist role.</li><li>Working fluency with UniProt or adjacent workflows: SAR support, HTS, target validation, biochemical profiling, or IND-enabling studies.</li></ul>Preferred<ul><li>Direct experience with ChEMBL, BindingDB, or PubChem.</li><li>Selectivity profiling or counterscreening experience.</li><li>Familiarity with agonist/antagonist vs. activator/inhibitor distinctions.</li></ul>Start Date<ul><li>Immediate start</li></ul>Application Process (Takes 20–30 mins to complete)<ul><li>Upload resume</li><li>AI interview based on your resume</li><li>Submit form</li></ul>Resources & Support<ul><li>For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome</li><li>For any help or support, reach out to: support@mercor.com</li></ul>PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Mercor

Molecular Biologist - Fully Remote

Artificial Intelligence (AI)

Assays

Benchmarking

Data Quality

High-Throughput Screening (HTS)

Integrated Circuits (ICs)

Molecular Biology

Patents

Pharmacology Research

Research Laboratory

Scientific Research

Taxonomies

Time Management

Manatal

For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made. For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome.

About the jobMercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.Position: Expert Biologist Type:Contract Compensation:$30–$75/hour Location:Remote Commitment:10+ hours/weekRole Responsibilities<ul><li>Author original biology questions that test deep conceptual understanding.</li><li>Ensure questions are unambiguous, self-contained, and precisely defined.</li><li>Rate each question's difficulty: Medium, Hard, or Expert.</li><li>Provide 1 correct answer and 9 plausible but subtly incorrect alternatives.</li><li>Write step-by-step Chain-of-Thought solutions in markdown format.</li><li>Supply 1–5 academic references per question from reputable sources.</li><li>For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made.</li></ul>QualificationsMust-Have<ul><li>PhD or doctoral candidate in Biology, Molecular Biology, Biochemistry, Neuroscience, or a closely related field.</li><li>Master's degree considered for candidates with exceptional depth in a specific subdomain.</li><li>Strong command of graduate-level biological concepts, experimental design, and data interpretation.</li><li>Research publications or laboratory experience in biological sciences is a strong plus.</li><li>Excellent written English and ability to express complex ideas clearly and concisely.</li></ul>Application Process (Takes 20–30 mins to complete)<ul><li>Upload resume</li><li>AI interview based on your resume</li><li>Submit form</li></ul>Resources & Support<ul><li>For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome</li><li>For any help or support, reach out to: support@mercor.com</li></ul>PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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Biologist Jobs in Cooper, NY

Data Scientist - I (Assistant) Talent Software Services

Molecular Biologist - Fully Remote Mercor

Biology PhD - Assessment Specialist Mercor

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