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Première détection par notre source: il y a 24 jours

Biology PhD - Scientific Coder

@ Mercor

Toutes ses offres Site Web

Toronto, Ontario

70 $/h
Postuler
SIGNAUX

En bref

Mercor is hiring a remote contract Biology PhD to create scientific coding research problems for AI model training. The work covers sourcing research material, writing prompts and grading criteria, and calibrating tasks against frontier models. The role pays $70 per hour for 20+ hours a week over six weeks, with an immediate start.

Salaire :

70 $ de l’heure

Responsabilités :

  • Source material from published papers, Kaggle datasets or repositories
  • Write scientific prompts and grading criteria
  • Calibrate tasks against frontier AI models
  • Use Python, R or other languages for scientific computing
  • Work with Git/GitHub and Docker for quality checks

Résumé des exigences :

  • PhD in biology or a closely related field
  • Depth in at least two subdomains: ecology, biochemistry, genetics
  • Proficiency in Python, R or another relevant language
  • Comfortable with Git/GitHub and Docker
  • Peer-reviewed publications preferred

Outils et compétences

PythonRGitGitHubDockerKaggle
Source et dates

Type de source non vérifié · manatal

Date publiée par l’employeur
Non fourni
Première détection par notre source
2026-10-17
Mise à jour du dossier source
2026-10-17

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineRecherche et sciences
Heures par semaine20
Déplacementsavion : aucun · route : aucun
Milieu de travailDomicile
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationDoctorat (exigé)
Domaines d’étudesbiology, biological sciences, biochemistry, genetics, ecology

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Postuler

Mercor

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

We connect human expertise with leading AI labs and enterprises to train frontier models.

Description complète de l’entreprise

Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.

Abonnés LinkedIn
654 507
Personnes associées sur LinkedIn
5 250
Bureaux déclarés
  • San Francisco, California 94105, US
Catégories d’activité
  • Employment
  • Software
  • Recruiting
  • Data Collection and Labeling
  • Artificial Intelligence (AI)
  • Machine Learning
Autres noms enregistrés
  • Mercor
Le profil indique une agence de recrutement
Oui
Investissement total déclaré
483 600 000

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

Toutes ses offres Site Web

Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.

ChampValeur
SecteurSoftware Development
Taille51-200 employees
Siège socialSan Francisco, California
Type d’organisationPrivately Held
Fondée en2023
Offres sur Jobsy1 626
LinkedInVoir la page
Description

About the job

Mercor 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 PhD Coding Experts
Type: Contract
Compensation: $70/hour
Location: Remote
Duration: 6 weeks
Commitment: 20+ hours/week

Role Responsibilities

  • Source material from published papers, Kaggle datasets, or open-source repositories to create research problems.
  • Write scientific prompts and develop grading criteria for correct answers.
  • Calibrate tasks against frontier models, ensuring strong models fail more often than they succeed.
  • Utilize Python, R, or other programming languages for scientific computing.
  • Work with Git/GitHub and Docker for code execution and quality checks.
  • Collaborate asynchronously and independently to meet deadlines and improve AI model performance.

Qualifications

Must-Have

  • PhD in biology, biological sciences, biochemistry, genetics, ecology, or a closely related field.
  • Depth in at least two subdomains: ecology, biochemistry, genetics.
  • Proficiency in Python, R, or another relevant programming language.
  • Comfortable with Git/GitHub and Docker.

Preferred

  • Publications in peer-reviewed journals.
  • Prior scientific software or research engineering experience.

Start Date

  • Immediate

Interview Process

  • Upload your resume and application form.
  • A 25-minute conversational interview covering your background, experience, and motivations.
  • Follow up within a few days with next steps and onboarding.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: [email protected]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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