Bioinformatics Research Scientist (Remote | $45–$90/hr)

Synthires; India; Presencial; INR 5 832 000 - 11 664 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive hourly pay

Resumo da oferta

Synthires is seeking experienced Bioinformatics Scientists to contribute to AI-driven drug discovery projects, applying bioinformatics and medicinal chemistry expertise to analyze complex datasets and validate AI outputs.

You will curate datasets, provide SME input for model training, and deliver written feedback to improve AI reasoning and scientific reliability. This role emphasizes domain knowledge over prior AI experience.

Qualificações

• Strong background in bioinformatics, medicinal chemistry, computational biology, or a related discipline.
• Experience analyzing biological, chemical, or omics datasets.
• Ability to evaluate scientific findings and communicate results clearly.
• Knowledge of drug discovery concepts and SAR is a plus.

Responsabilidades

• Analyze medicinal chemistry datasets using advanced bioinformatics methods.
• Provide scientific input to support AI model development and training.
• Curate and validate datasets for drug discovery and molecular analysis.
• Evaluate AI outputs for accuracy and relevance in scientific context.
• Draft comprehensive feedback to improve AI systems.

Conhecimentos

Bioinformatics

Medicinal Chemistry

Computational Biology

Omics Data Analysis

Scientific Communication

Data Quality Assessment

Formação académica

PhD or MSc in Bioinformatics or Computational Biology

Descrição da oferta de emprego

We are seeking experienced Bioinformatics Scientists with expertise in medicinal chemistry, bioinformatics, and related research disciplines to contribute to a project focused on training and improving advanced AI systems.

In this role, you will apply your scientific knowledge to analyze complex biological and chemical datasets, support drug discovery research, validate scientific information, and evaluate AI-generated outputs. Your expertise will help improve how AI models interpret scientific data, reason through research problems, and generate reliable scientific insights.

No prior AI experience is required. Your domain knowledge and research experience are what matter most.

Key Responsibilities

• Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
• Provide detailed scientific input and subject matter expertise to support AI model development and training.
• Curate, annotate, and validate datasets relevant to drug discovery, molecular analysis, and biological research.
• Evaluate and synthesize findings from biological, chemical, and clinical data sources.
• Apply medicinal chemistry knowledge to experimental design, molecular analysis, and scientific data interpretation.
• Assess AI-generated outputs for scientific accuracy, relevance, consistency, and reliability.
• Identify inaccuracies or gaps in scientific reasoning and provide actionable recommendations for improvement.
• Deliver comprehensive written feedback to support the development and refinement of AI systems.

Required Qualifications

• Strong background in bioinformatics, medicinal chemistry, computational biology, or a related scientific discipline.
• Knowledge of medicinal chemistry concepts, including molecular analysis, drug design, and structure–activity relationships.
• Experience handling, analyzing, or interpreting biological, chemical, or omics datasets.
• Understanding of bioinformatics methodologies and their applications in scientific research.
• Ability to evaluate scientific findings and assess the accuracy of technical information.
• Strong analytical, problem-solving, and scientific communication skills.

Preferred Qualifications

• Advanced degree (PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
• Demonstrated experience working with large-scale omics or cheminformatics datasets.
• In-depth understanding of drug discovery principles, molecular properties, and structure–activity relationships.
• Research experience at the intersection of biology, chemistry, and data science.
• Experience collaborating in multidisciplinary research teams or remote project environments.

Compensation & Engagement

• Compensation: $45–$90 per hour.