Biology jobs

8 active, referral-verified opportunities.

STEM / Remote

Research Physics Expert

Role Overview — We are seeking expert physics researchers to author and verify golden reference solutions for the CritPt benchmark (arXiv:2509.26574v3) — a frontier research-level physics benchmark. Participants will solve CritPt research-level problems end-to-end, audit solutions from other experts, or adjudicate between parallel solution attempts, producing 100%-human-verified reference data used to evaluate large language models on frontier physics reasoning. — Physics Subdomains Covered — High Energy Physics & Mathematical Physics, Biophysics & Statistical Physics, Condensed Matter & AMO, Gravitation / Cosmology / Astrophysics, Quantum Information, Optical Properties of Materials, Magnetic Materials, Measurements in QM. — Key Responsibilities • Solve research-level physics challenges end-to-end with verifiable derivations, code, and peer-reviewed references • Decompose challenges into standalone checkpoint sub-problems that require genuine physical reasoning • Author Python answer templates with auto-grading functions for symbolic or numerical answers • Audit submitted solutions for correctness, scope, and method soundness; deliver actionable feedback across iterations • Adjudicate between parallel solver attempts and decide which solution becomes the golden reference • Document chain-of-thought reasoning, error tolerances, equivalent symbolic forms, and verification test cases — Ideal Qualifications • Solver: PhD or postdoc in the relevant subfield (senior PhD student minimum) • Auditor: Postdoc or junior professor in the relevant subfield (PhD minimum) • Adjudicator: Full professor or industry research PI in the relevant subfield (senior postdoc or junior professor minimum) • Hands-on familiarity with at least two canonical methods of the target subfield, demonstrable through publications (broader coverage strongly preferred) • 3–5 representative publications (arXiv ID or DOI), ideally within the last ~5 years and in the target subfield • Working proficiency with LaTeX, Python, Jupyter, and SymPy • Strong written English (B2/C1/C2 minimum; native or near-native preferred) — More About the Opportunity • Expected commitment: ~10 hours/week, sustained across an 8–10 week window per task pool • Pay range: $80–$135 per hour, based on role and demonstrated expertise • Asynchronous work

$80 - $135 / hourOpen / Referral verified

STEM / Remote

Biology / environmental science Evaluator

About the role — We are hiring expert Evaluators in Biology / environmental science to review and assess AI-generated work products (documents, spreadsheets, and slide decks) for accuracy, rigor, and domain quality. You will apply deep subject-matter expertise to grade outputs. — This is a remote, hourly engagement. — Requirements (must have) — 1. 5+ years of relevant professional experience in Biology / environmental science. 2. Native or professional fluency in English. 3. Highly proficient in Microsoft Office and Google Workspace, especially Slides (Google Slides / PowerPoint). — Preferred (nice to have) • Advanced degree (Master's or higher) from a reputable institution. — What you'll do • Evaluate AI-generated artifacts against domain-specific quality rubrics. • Identify factual, aesthetic, and presentation errors. • Provide clear, structured written feedback.

$80 - $120 / hourOpen / Referral verified

STEM / Remote UK

Molecular Biology Experts

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. — 1. Overview — Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Molecular Biology subject-matter experts (SMEs) with hands-on experience designing DNA and RNA sequences — primers, plasmids, guide RNAs, mRNA constructs, and repair templates — to bring deep domain expertise and elevate the quality of our AI training data. This is a part-time to full-time commitment of up to 40 hours per week. — This is a W-2 employment position with Cincinnatus LLC (or appropriate international entity), with the opportunity to be placed at a leading AI Lab as part of their extended workforce. — 2. Key Responsibilities • Guide research and engineering teams to close knowledge gaps and improve AI model performance in molecular biology, nucleic-acid sequence design, and construct engineering. • Design challenging, domain-relevant tasks and write accurate, well-documented solutions — spanning primers (PCR/qPCR/cloning), plasmids/expression vectors, gRNA/sgRNA for CRISPR editing, mRNA/RNA constructs, and HDR/repair templates — that serve as ground truth. • Evaluate molecular-biology tasks and AI model outputs against expert-quality solutions and provide clear, written technical feedback on correctness, rigor, and biological reasoning. • Develop guidelines and detailed rubrics/evaluation frameworks to assess sequence-design quality — guide/target selection, homology-arm length, primer melting temperature and specificity, codon optimization, and regulatory elements. • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. — 3. Core Qualifications • Advanced degree (PhD strongly preferred) in molecular biology, genetics, biochemistry, synthetic biology, bioengineering, or a related life-science field. • Hands-on experience designing nucleic-acid constructs prior to experiments — across several of primers, plasmids/vectors, gRNA/sgRNA, mRNA, and HDR/repair templates — together with cloning strategy (Gibson, Golden Gate, Gateway, restriction) and codon optimization. • A strong peer-reviewed publication record, weighted toward first-author work in notable venues (e.g., Nature and the Nature family, Cell, eLife, Nucleic Acids Research, PNAS, EMBO Journal). Please include publication links with your application. • Demonstrable career progression. • Ability to engage reliably for at least 20 hours/week during weekdays. • Past experience in AI training, model evaluation, and data annotation is preferred. • Strong written communication skills and the ability to justify design choices clearly and precisely. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$70 - $105 / hourOpen / Referral verified

STEM / Remote

Biology Research Scientist (BA, MS, PhD's)

About the Role — Mercor is partnering with a leading AI research organization to verify protein target assignments in large-scale bioactivity databases (ChEMBL, BindingDB). You will read primary literature, apply scientific judgment, and determine whether UniProt IDs accurately reflect the proteins being studied — work that directly feeds AI drug discovery pipelines. — What You'll Do • Access primary sources (papers, patents) to verify protein target assignments against UniProt records • Flag and classify target assignment errors using a structured taxonomy • Propose correct UniProt accessions where assignments are wrong • Write concise, evidence-grounded notes explaining your reasoning — Requirements • 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 at a biotech, pharma, or CRO • Hands-on binding or functional assay experience (SPR, TR-FRET, radioligand binding, kinase assays, GPCR functional assays, IC50/Ki/KD) • Currently bench-active in a research, scientist, or associate scientist role • Working fluency with UniProt or adjacent workflows: SAR support, HTS, target validation, biochemical profiling, or IND-enabling studies — Nice to Have • Direct experience with ChEMBL, BindingDB, or PubChem • Selectivity profiling or counterscreening experience • Familiarity with agonist/antagonist vs. activator/inhibitor distinctions — Role Details • 10–20 hrs/week | Remote | Immediate start • 1–2 month minimum, extension likely • U.S. only

$50 - $70 / hourOpen / Referral verified

STEM / Remote

Computational Pharmacokinetics & Systems Biology Expert

Computational Pharmacokinetics & Systems Biology Expert — About the Project — We're building a large-scale benchmark to test how well advanced AI systems can solve hard scientific and engineering problems. As a task designer, you'll create challenging computational problems that check whether AI can use real scientific software to do research-level work — running simulations, interpreting results, designing experiments, and uncovering hidden information from data. — This isn't a typical data-labeling job. You'll design original, graduate-level problems based on real scientific workflows, test them against cutting-edge AI models, and fine-tune them until the difficulty is just right. — What You'll Do — You'll create problems that require skilled use of specialized scientific software. Some will ask the AI to compute exact answers from a fully defined setup — testing whether it can correctly carry out complex, multi-step workflows. Others will be harder: the AI must plan a series of queries or experiments to uncover information that isn't directly visible, which means thinking strategically about what to measure, how to read partial results, and how to narrow down the possibilities efficiently. — Each problem goes through a testing loop against state-of-the-art AI models, and you'll refine it until it hits the target difficulty. — Domains & Tools We're Hiring For — We're especially interested in experts with deep, hands-on experience in: — Pharmacokinetics & Systems Biology — working with libRoadRunner, Tellurium, or SBML-based tools for compartmental PK/PD modeling, enzyme kinetics, or systems biology simulations. — _Experience with other specialized software in this domain will also be considered._ — What Makes a Strong Candidate — You have graduate-level expertise (MS or PhD preferred) in the domain above, with real hands-on experience using these tools — not just theoretical knowledge. You've written code using these libraries to solve actual research problems, and you understand where they break, what their edge cases are, and what makes a problem genuinely hard rather than just complicated. — Beyond domain expertise, the best candidates think like puzzle designers: building problems where the challenge comes from smart reasoning rather than raw computation, where several approaches seem plausible but only careful analysis reveals the right one, and where surface-level pattern matching won't get you to the answer. — Requirements • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience) • Proven proficiency with at least one of the listed scientific software libraries, shown through research publications, open-source contributions, or professional work • Strong Python skills — you'll be writing problem setups, oracle functions, and solution validators • Ability to work independently and refine problem designs based on feedback • Comfortable working in a Linux/terminal environment with remote compute sandboxes • Available for at least 15–20 hours per week — Nice to Have • Experience across multiple listed domains or tools • Familiarity with benchmark or evaluation design • Background in scientific teaching or exam/problem-set design • Experience with computational reproducibility and containerized environments

$70 - $85 / hourOpen / Referral verified

Policy & Safety / Remote

AI Safety Red Teamer

We are seeking experienced AI Safety Red Teamers to identify vulnerabilities in frontier AI systems through adversarial testing. You will design challenging prompts, uncover model weaknesses, and evaluate AI behavior across complex, high-risk, and ambiguous ("grey-area") topics. — Responsibilities • Design adversarial prompts to stress-test frontier AI models. • Identify jailbreaks, unsafe behaviours, hallucinations, and policy failures. • Evaluate model robustness across misinformation, cyber, biosecurity, fraud, political content, and other sensitive domains. • Document vulnerabilities and contribute to safety benchmarking and red-teaming reports. • Collaborate with AI researchers to improve model alignment, robustness, and safety. — Required Qualifications • Bachelor's degree or higher in Computer Science, Cybersecurity, Journalism, Communications, Psychology, Biology, Chemistry, Public Policy, or a related discipline. • 5+ years of professional experience in AI Safety, AI Red Teaming, Trust & Safety, cybersecurity, investigative journalism, life sciences, or a related field. • Strong analytical reasoning, prompt design, and written communication skills. • Experience designing adversarial prompts or evaluating frontier AI systems. — Preferred Qualifications • Experience with AI Red Teaming, RLHF, SFT, AI Alignment, or Trust & Safety. • Familiarity with jailbreak testing, prompt engineering, or adversarial evaluation methodologies. • Expertise in one or more grey-area domains, including cyber, biosecurity, political content, misinformation, or scientific safety. — Why Join? • Help secure and strengthen the next generation of frontier AI models. • Work on cutting-edge adversarial testing alongside leading AI researchers and safety teams. • Influence how AI systems respond to complex, real-world safety challenges.

$70 - $84 / hourOpen / Referral verified

STEM / Remote

Applied Biology Benchmark Specialist

Role Overview — We are seeking expert biologists to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core biology domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities. — You will be assigned one of two task types: • Question Authoring — Create original, challenging multiple-choice questions in your area of biology expertise, rate their difficulty, and submit them for review. • Question Verification — Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made. — Biology Domains Covered — Pharmaceutical Manufacturing, Industrial and Synthetic Biology, Medical Research & Drug Discovery, Agricultural, Environmental & Food Biology. — Key Responsibilities • Author original biology questions that test deep conceptual understanding, not surface-level recall • Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement • Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above) • Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers • Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format • Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, university repositories) • For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made — Ideal Qualifications • PhD or doctoral candidate in Biology, Molecular Biology, Biochemistry, Neuroscience, or a closely related field • Master's degree considered for candidates with exceptional depth in a specific subdomain • Strong command of graduate-level biological concepts, experimental design, and data interpretation • Research publications or laboratory experience in biological sciences is a strong plus • Excellent written English and ability to express complex ideas clearly and concisely — More About the Opportunity • Expected commitment: 10+ hours/week • Asynchronous, fully remote work

$60 - $75 / hourOpen / Referral verified

Policy & Safety / Remote

AI Safety Practitioner

We are seeking experienced AI Safety Practitioners to evaluate the safety, quality, and alignment of frontier AI models across complex, policy-sensitive, and ambiguous ("grey-area") topics. You will assess AI-generated responses, apply safety policies, and help improve model behavior through structured evaluations and feedback. — Responsibilities • Evaluate AI-generated responses for safety, factual accuracy, policy compliance, and overall quality. • Review content involving misinformation, political persuasion, self-harm, violence, cyber, biosecurity, and other sensitive domains. • Apply and refine evaluation rubrics for RLHF, SFT, and AI safety benchmarking. • Identify unsafe outputs, hallucinations, reasoning failures, and policy violations. • Provide structured feedback to improve model alignment and safety performance. • Collaborate with AI researchers and safety teams on ongoing evaluation initiatives. — Required Qualifications • Bachelor's degree or higher in Journalism, Communications, Psychology, Sociology, Public Policy, Law, Biology, Chemistry, Computer Science, or a related discipline. • 5+ years of professional experience in AI Safety, Trust & Safety, journalism, public policy, scientific research, security, or a related field. • Excellent written English, critical thinking, and analytical reasoning skills. • Ability to consistently evaluate nuanced and policy-sensitive scenarios. — Preferred Qualifications • Experience with AI Safety, RLHF, SFT, Trust & Safety, or AI evaluation. • Familiarity with safety policies, content moderation, or evaluation rubric development. • Experience reviewing complex, high-risk, or ambiguous content. — Why Join? • Shape the safety and behaviour of frontier AI models used by millions worldwide. • Work on challenging, real-world safety evaluations across nuanced and high-impact domains. • Collaborate with leading AI researchers, engineers, and safety teams.

$60 - $70 / hourOpen / Referral verified