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Alignerr

Biology Expert (Masters/PhDs) - AI Training

Alignerr

Remote · Contracter

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Expérience
N'importe lequel
Salaire
Ouvertures
1
Publié
il y a 8 heures
Mode de travail
Travaillez à domicile
Éducation
Masters or PhD in Biology or related discipline
CV
Candidature requise

Description de l'emploi

About the Role

Imagine leveraging your extensive biology expertise to influence how artificial intelligence interprets genetics, diseases, and biological systems. We seek highly qualified Biology professionals holding Masters or PhD degrees to address sophisticated scientific challenges essential for training state-of-the-art AI models.

This fully remote contract position offers flexible hours tailored for researchers and scientists interested in applying their in-depth knowledge in innovative and impactful ways. No prior AI experience is required—just robust scientific acumen and strong analytical capabilities.

Key Responsibilities

  • Design and solve advanced biological problems with direct scientific applicability.
  • Utilize specialized knowledge in genetics, biotechnology, bioinformatics, or related areas to create intricate and well-thought-out problem scenarios.
  • Work asynchronously with AI researchers and fellow experts to enhance AI decision-making and reasoning.
  • Maintain high standards of scientific accuracy, detail, and clarity in all output.
  • Employ Python or R programming languages, as applicable, to assist in problem development or data analysis.

Candidate Profile

  • Possesses a Master's or PhD in Biology or a related discipline such as Genetics, Molecular Biology, Bioinformatics, or Biotechnology.
  • Demonstrates expertise in at least one key domain: genetics, biotechnology, or bioinformatics.
  • Proficient in Python or R for research or analytical purposes.
  • Exceptional written communication skills capable of conveying complex scientific concepts with precision.
  • Highly detail-focused, self-driven, and dependable when working autonomously.
  • Fluent in English language.

Additional Preferred Qualifications

  • Experience in data annotation, quality control, or assessment frameworks.
  • Background involving academic research, scientific publication, or laboratory environments.
  • Familiarity with computational biology or AI/machine learning applications in life sciences.
  • Skills in peer reviewing or editing scientific manuscripts.

Benefits and Work Environment

  • Engage with pioneering AI research alongside leading academic and industrial AI teams.
  • Enjoy complete remote work flexibility, setting your own schedule and workplace.
  • Operate with freelance independence while contributing to meaningful, task-driven scientific projects.
  • Directly influence the advancement of AI reasoning in biological sciences.
  • Opportunity for contract continuation as new projects arise.

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